Edited Books:

1. Chowdhary, C. L., Reddy, G. T., & Parameshachari, B. D. (2022). Computer Vision and Recognition Systems: Research Innovations and Trends. CRC Press. 

2. Chowdhary, C. L., Alazab, M., Chaudhary, A., Hakak, S., & Gadekallu, T. R. (2021). Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, technologies and applications., Institution of Engineering and Technology.

Edited Book Chapters:

2023

1. Shah, P., Pandya, S., Srivastava, G., & Gadekallu, T. R. (2022). Security and Privacy in smart Internet of Things environments for well-being in the healthcare industry. Medical Information Processing and Security: Techniques and Applications, 307. 

2. Srivastava, G., K, D. R. R., Yenduri, G., Hegde, P., Gadekallu, T. R., Maddikunta, P. K. R., & Bhattacharya, S. (2023). Federated Learning Enabled Edge Computing Security for Internet of Medical Things: Concepts, Challenges and Open Issues. In Security and Risk Analysis for Intelligent Edge Computing (pp. 67-89). Cham: Springer International Publishing. 

3. Rathod, S., Joshi, R., Gonge, S., Pandya, S., Gadekallu, T. R., & Javed, A. R. (2023). Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized Cloud and Edge Computing Environments. In Security and Risk Analysis for Intelligent Edge Computing (pp. 223-236). Cham: Springer International Publishing. 

4. Rathod, S., Joshi, R., Gonge, S., Pandya, S., Gadekallu, T. R., & Javed, A. R. (2023). Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized Cloud and Edge Computing Environments. In Security and Risk Analysis for Intelligent Edge Computing (pp. 223-236). Cham: Springer International Publishing. 

5. Srivastava, G., K, D. R. R., Yenduri, G., Hegde, P., Gadekallu, T. R., Maddikunta, P. K. R., & Bhattacharya, S. (2023). Federated Learning Enabled Edge Computing Security for Internet of Medical Things: Concepts, Challenges and Open Issues. In Security and Risk Analysis for Intelligent Edge Computing (pp. 67-89). Cham: Springer International Publishing. 

2022:

1. Yarradoddi, S., & Gadekallu, T. R. Federated Learning Role in Big Data, Jot Services and Applications Security, Privacy and Trust in Jot A Survey. In Trust, Security and Privacy for Big Data (pp. 28-49). CRC Press. 

2. Yenduri, G., & Gadekallu, T. R. (2022). Recent Advancements in Network and Cyber Security using RNN. In Trust, Security and Privacy for Big Data (pp. 129-143). CRC Press. 

2021:

1. Tripathy, B. K., Parimala, M., & Reddy, G. T. (2021). Innovative classification, regression model for predicting various diseases. In Data Analytics in Biomedical Engineering and Healthcare (pp. 179-203). Academic Press.

2. Rajput, D. S., Shukla, P., Reddy, T., Kaluri, R., Lakshmanna, K., Maddikunta, P. K. R. K., & Patel, H. (2021). A Review on Bitcoin and Currency Encryption: Bitcoin and Blockchain. In Blockchain Applications in IoT Security (pp. 84-98). IGI Global.

2020:

1. Poluru, R. K., Reddy, M. P. K., Kaluri, R., Lakshmanna, K., & Reddy, G. T. (2020). Agribot. In Architecture and Security Issues in Fog Computing Applications (pp. 151-     157). IGI Global.

2019:

1. Gadekallu, T., Kidwai, B., Sharma, S., Pareek, R., & Karnam, S. (2019). Application of data mining techniques in weather forecasting. In Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 162-174). IGI Global.

2. Gadekallu, T., Soni, A., Sarkar, D., & Kuruva, L. (2019). Application of sentiment analysis in movie reviews. In Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 77-90). IGI Global.

Conferences:

2023

1. Yenduri, G., Kaluri, R., Gadekallu, T. R., Mahmud, M., & J. Brown, D. (2023, January). Blockchain for Software Maintainability in Healthcare. In 24th International Conference on Distributed Computing and Networking (pp. 420-424).

2. Yenduri, G., & Gadekallu, T. R. (2023, January). XAI for Maintainability Prediction of Software-Defined Networks. In 24th International Conference on Distributed Computing and Networking (pp. 402-406).

3. Deeban Chakravarthy, V., Prakash, K. L., Ramana, K., & Gadekallu, T. R. (2023). A Novel DDOS Attack Detection and Prevention Using DSA-DPI Method. In International Conference on Innovative Computing and Communications (pp. 733-743). Springer, Singapore.

4. S. Shaikh, C. Rupa, G. Srivastava and T. Reddy Gadekallu, "Botnet Attack Intrusion Detection In IoT Enabled Automated Guided Vehicles," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 6332-6336, doi: 10.1109/BigData55660.2022.10020355.

5. Sarkar, S., Agrawal, S., Gadekallu, T. R., Mahmud, M., & Brown, D. J. (2022, November). Privacy-Preserving Federated Learning for Pneumonia Diagnosis. In International Conference on Neural Information Processing (pp. 345-356). Singapore: Springer Nature Singapore. 

6. Victor, N., Bhattacharya, S., Maddikunta, P. K. R., Alotaibi, F. M., Gadekallu, T. R., & Jhaveri, R. H. (2023, May). FL-PSO: A Federated Learning approach with Particle Swarm Optimization for Brain Stroke Prediction. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) (pp. 33-38). IEEE. 

7. Samal, S., Gadekellu, T. R., Rajput, P., Zhang, Y. D., & Balabantaray, B. K. (2023, May). SAS-UNet: Modified encoder-decoder network for the segmentation of obscenity in images. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) (pp. 45-51). IEEE. 

8. F. Iqbal, A. Abbasi, A. R. Javed, G. Srivastava, Z. Jalil and T. R. Gadekallu, "Identification and Categorization of Unusual Internet of Vehicles Events in Noisy Audio," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-6, doi: 10.1109/VTC2023-Spring57618.2023.10199432.

9. Bhattacharya, S., Vyas, P., Yarradoddi, S., Dasari, B., Sumathy, S., Kaluri, R., ... & Gadekallu, T. R. (2023, November). Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning. In 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 0602-0608). IEEE. 

10. Ramalingam, M., Yenduri, G., Baza, M., Srivastava, G., & Gadekallu, T. R. (2023, November). GPT for the Metaverse in Smart Cities. In 2023 26th International Symposium on Wireless Personal Multimedia Communications (WPMC) (pp. 1-6). IEEE. 

11. Dasaradharami Reddy, K., Srivastava, G., Zhu, Y., Supriya, Y., Yenduri, G., Victor, N., ... & Gadekallu, T. R. (2023, November). Federated Learning Using the Particle Swarm Optimization Model for the Early Detection of COVID-19. In International Conference on Neural Information Processing (pp. 425-436). Singapore: Springer Nature Singapore. 

12. Supriya, Y., Srivastava, G., Dasaradharami Reddy, K., Yenduri, G., Victor, N., Anusha, S., & Gadekallu, T. R. (2023, November). PSO-Enabled Federated Learning for Detecting Ships in Supply Chain Management. In International Conference on Neural Information Processing (pp. 413-424). Singapore: Springer Nature Singapore. 

13. Gadekallu, T. R., Bhatia Khan, S., & Saraee, M. (2023, November). Multiclass Classification and Defect Detection of Steel Tube Using Modified YOLO. In International Conference on Neural Information Processing (pp. 417-428). Singapore: Springer Nature Singapore. 

14. Samal, S., Srivastava, G., Gadekallu, T. R., Zhang, Y. D., & Balabantaray, B. K. (2023, November). LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0. In International Conference on Neural Information Processing (pp. 44-55). Singapore: Springer Nature Singapore. 

15. Huang, M., Gong, F., Li, G., Gadekallu, T. R., & Victor, N. (2023, December). Secure Transmission via Precoding for Satellite-Terrestrial Downlink NOMA Networks. In GLOBECOM 2023-2023 IEEE Global Communications Conference (pp. 2172-2177). IEEE. 

16. Mary, D. R. K., Yarradoddi, S., Victor, N., Gadekallu, T. R., & Paek, J. (2023, December). A Game-Theoretic Federated Learning Approach for Ship Detection from Aerial Images. In GLOBECOM 2023-2023 IEEE Global Communications Conference (pp. 449-454). IEEE. 

2022

1. Iqbal, W., Javed, A. R., Rizwan, M., Srivastava, G., & Gadekallu, T. R. (2022, September). Blockchain Based Secure Communication for IoT Devices in Smart Cities. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 1-7). IEEE.

2. Yang, Y., Wang, W., Xu, R., Srivastava, G., Alazab, M., Gadekallu, T. R., & Su, C. (2022, May). AoI Optimization for UAV-aided MEC Networks under Channel Access Attacks: A Game Theoretic Viewpoint. In ICC 2022-IEEE International Conference on Communications (pp. 1-6). IEEE.

3. Srivastava, G., Manoharan, H., Gadekallu, T. R., Jhaveri, R. H., Selvarajan, S., & Kadiyala, R. (2022, September). Connotation of Unconventional Drones for Agricultural Applications with Node Arrangements Using Neural Networks. In 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) (pp. 1-6). IEEE.

4. Ali, J., Adnan, M., Gadekallu, T. R., Jhaveri, R. H., & Roh, B. H. (2022, December). A QoS-Aware Software Defined Mobility Architecture for Named Data Networking. In 2022 IEEE Globecom Workshops (GC Wkshps) (pp. 444-449). IEEE.

2023

1. Deeban Chakravarthy, V., Prakash, K. L., Ramana, K., & Gadekallu, T. R. (2023). A Novel DDOS Attack Detection and Prevention Using DSA-DPI Method. In International Conference on Innovative Computing and Communications (pp. 733-743). Springer, Singapore.

2021:

1. Srivastava, G., Gadekallu, T. R., Deepa, N., Prabadevi, B., & Reddy M, P. K. (2021, January). An ensemble model for intrusion detection in the Internet of Softwarized Things. In Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking (pp. 25-30).

2. Khan, H., Asghar, M. U., Asghar, M. Z., Srivastava, G., Maddikunta, P. K. R., & Gadekallu, T. R. (2021). Fake Review Classification Using Supervised Machine Learning. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part IV (pp. 269-288). Springer International Publishing.

3. Rupa, D. C. C., Srivastava, G., Bhattacharya, S., Reddy, P., & Gadekallu, T. R. R. (2021, August). A Machine Learning Driven Threat Intelligence System for Malicious URL Detection. In The 16th International Conference on Availability, Reliability and Security (pp. 1-7).

4. Rupa, D. C. C., Srivastava, G., Bhattacharya, S., Reddy, P., & Gadekallu, T. R. R. (2021, August). A Machine Learning Driven Threat Intelligence System for Malicious URL Detection. In The 16th International Conference on Availability, Reliability and Security (pp. 1-7).

5. Hina, M., Ali, M., Javed, A. R., Srivastava, G., Gadekallu, T. R., & Jalil, Z. (2021, October). Email Classification and Forensics Analysis using Machine Learning. In 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) (pp. 630-635). IEEE.

  2020:

1. Hakak, S., Khan, W. Z., Bhattacharya, S., Reddy, G. T., & Choo, K. K. R. (2020, December). Propagation of Fake News on Social Media: Challenges and Opportunities. In International Conference on Computational Data and Social Networks (pp. 345-353). Springer, Cham.

2. Manoj, M., Srivastava, G., Somayaji, S. R. K., Gadekallu, T. R., Maddikunta, P. K. R., & Bhattacharya, S. (2020, December). An Incentive Based Approach for COVID-19 planning using Blockchain Technology. In 2020 IEEE Globecom Workshops (GC Wkshps (pp. 1-6). IEEE.

3. Krishnan, S. S. R., Manoj, M. K., Gadekallu, T. R., Kumar, N., Maddikunta, P. K. R., Bhattacharya, S., ... & Piran, M. J. (2020, December). A Blockchain-Based Credibility Scoring Framework for Electronic Medical Records. In 2020 IEEE Globecom Workshops (GC Wkshps (pp. 1-6). IEEE.

4. Somayaji, S. R. K., Alazab, M., MK, M., Bucchiarone, A., Chowdhary, C. L., & Gadekallu, T. R. (2020). A Framework for Prediction and Storage of Battery Life in IoT Devices using DNN and Blockchain. In 2020 IEEE Globecom Workshops (GC Wkshps (pp. 1-6). IEEE.

5. Rupa, C., Srivastava, G., Gadekallu, T. R., Maddikunta, P. K. R., & Bhattacharya, S. (2020, October). A Blockchain Based Cloud Integrated IoT Architecture Using a Hybrid Design. In International Conference on Collaborative Computing: Networking, Applications and Worksharing (pp. 550-559). Springer, Cham.

6. Reddy, G. T., Bhattacharya, S., Ramakrishnan, S. S., Chowdhary, C. L., Hakak, S., Kaluri, R., & Reddy, M. P. K. (2020, February). An ensemble based machine learning model for diabetic retinopathy classification. In 2020 international conference on emerging trends in information technology and engineering (ic-ETITE) (pp. 1-6). IEEE.

2019:

1. Reddy, G. T., Kaluri, R., Reddy, P. K., Lakshmanna, K., Koppu, S., & Rajput, D. S. (2019, February). A novel approach for home surveillance system using IoT adaptivesecurity. In Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur-India.

2017:

1. Kumar, M. E., Reddy, G. T., Sudheer, K., Reddy, M. P. K., Kaluri, R., Rajput, D. S.,& Lakshmanna, K. (2017, November). Vehicle theft identification and intimation using gsm & iot. In IOP Conference Series: Materials Science and Engineering (Vol. 263, No. 4, p. 042062). IOP Publishing.

2. Rajput, D. S., Singh, A. P., Agarwal, Y., Reddy, P. K., & Reddy, G. T. (2017, November). Feature selection analysis for multimedia event detection. In IOP Conference Series: Materials Science and Engineering (Vol. 263, No. 4, p. 042004). IOP Publishing.

Journals: 

2024

1. Ch, R., Srivastava, G., & Gadekallu, R. (2024). ECDSA-based tamper detection in medical data using a watermarking technique. International Journal of Cognitive Computing in Engineering, 5, 78-87. 

2. Zhang, D., Shafiq, M., Srivastava, G., Gadekallu, T. R., Wang, L., & Gu, Z. (2024). STBCIoT: Securing the Transmission of Biometric Images in Customer IoT. IEEE Internet of Things Journal. (IF: 10.2)

3. Yin, S., Li, H., Laghari, A. A., Gadekallu, T. R., Sampedro, G. A., & Almadhor, A. (2024). An Anomaly Detection Model Based On Deep Auto-Encoder and Capsule Graph Convolution via Sparrow Search Algorithm in 6G Internet-of-Everything. IEEE Internet of Things Journal. (IF: 10.2)

4. Singh, N. K., Agal, S., Gadekallu, T. R., Shabaz, M., Keshta, I., Jindal, L., ... & Singh, P. P. (2024). Deep Learning Model for Interpretability and Explainability of Aspect-Level Sentiment Analysis Based on Social Media. IEEE Transactions on Computational Social Systems. (IF: 5.3)

5. Boopathy, P., Liyanage, M., Deepa, N., Velavali, M., Reddy, S., Maddikunta, P. K. R., ... & Pham, Q. V. (2024). Deep learning for intelligent demand response and smart grids: A comprehensive survey. Computer Science Review, 51, 100617. (IF: 12)

6. Sadaf, M., Iqbal, Z., Anwar, Z., Noor, U., Imran, M., & Gadekallu, T. R. (2024). A Novel Framework for Detection and Prevention of Denial of Service Attacks on Autonomous Vehicles using Fuzzy Logic. Vehicular Communications, 100741. (IF 6.6)

7. Mohammed, S. Y., Aljanabi, M., & Gadekallu, T. R. (2024). Navigating the Nexus: A Systematic Review of the Symbiotic Relationship between the Metaverse and Gaming. International Journal of Cognitive Computing in Engineering. 

8. Victor, N., Maddikunta, P. K. R., Mary, D. R. K., Murugan, R., Chengoden, R., Gadekallu, T. R., ... & Paek, J. (2024). Remote Sensing for Agriculture in the Era of Industry 5.0–A survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (IF 5.3)

9. Ahmed, A. A., Hasan, M. K., Memon, I., Aman, A. H. M., Islam, S., Gadekallu, T. R., & Memon, S. A. (2024). Secure AI for 6G Mobile Devices: Deep Learning Optimization Against Side-Channel Attacks. IEEE Transactions on Consumer Electronics. (IF 4.4)

10. Hasan, M. K., Abdulkadir, R. A., Islam, S., Gadekallu, T. R., & Safie, N. (2024). A review on machine learning techniques for secured cyber-physical systems in smart grid networks. Energy Reports, 11, 1268-1290. (IF 5.2)

11. Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish (2024). Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network, CAAI Transactions on Intelligence Technology (IF 5.1)

12. 
    

2023

1. Sharnil Pandya, Gautam Srivastava, Rutvij Jhaveri, M. Rajasekhara Babu, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Spyridon Mastorakis, Md. Jalil Piran, Thippa Reddy Gadekallu, Federated learning for smart cities: A comprehensive survey, Sustainable Energy Technologies and Assessments, Volume 55, 2023, 102987, ISSN 2213-1388, https://doi.org/10.1016/j.seta.2022.102987. (IF 7.6)

2. Chien-Ming Chen, Zhen Li, Saru Kumari, Gautam Srivastava, Kuruva Lakshmanna, Thippa Reddy Gadekallu, A provably secure key transfer protocol for the fog-enabled Social Internet of Vehicles based on a confidential computing environment, Vehicular Communications, 2022, 100567, ISSN 2214-2096, https://doi.org/10.1016/j.vehcom.2022.100567. (IF: 8.3)

3.  Supriya Y, Gadekallu TR. Particle Swarm-Based Federated Learning Approach for Early Detection of Forest Fires. Sustainability. 2023; 15(2):964. https://doi.org/10.3390/su15020964 (IF 3.8)

4.  Kamath B N, Fernandes R, Rodrigues AP, Mahmud M, Vijaya P, Gadekallu TR, Kaiser MS. TAKEN: A Traffic Knowledge-Based Navigation System for Connected and Autonomous Vehicles. Sensors. 2023; 23(2):653. https://doi.org/10.3390/s23020653 (IF 3.7)

5. N. Victor et al., "Federated Learning for IoUT: Concepts, Applications, Challenges and Future Directions," in IEEE Internet of Things Magazine, vol. 5, no. 4, pp. 36-41, December 2022, doi: 10.1109/IOTM.001.2200067.

6. Singh, N., Hamid, Y., Juneja, S. et al. Load balancing and service discovery using Docker Swarm for microservice based big data applications. J Cloud Comp 12, 4 (2023). https://doi.org/10.1186/s13677-022-00358-7 (IF: 3.4)

7. K. Ramana et al., "A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3233801. (IF: 9.4)

8.  Nagasree Y, Rupa C, Akshitha P, Srivastava G, Gadekallu TR, Lakshmanna K. Preserving Privacy of Classified Authentic Satellite Lane Imagery Using Proxy Re-Encryption and UAV Technologies. Drones. 2023; 7(1):53. https://doi.org/10.3390/drones7010053 (IF 5.6)

9.  Kavitha C, M S, Gadekallu TR, K N, Balasubramanian PK, Lai W-C. Filter-Based Ensemble Feature Selection and Deep Learning Model for Intrusion Detection in Cloud Computing. Electronics. 2023; 12(3):556. https://doi.org/10.3390/electronics12030556 (IF 2.4)

10.  Panchikkil S, Vegesana SP, Manikandan VM, Donta PK, Maddikunta PKR, Gadekallu TR. An Ensemble Learning Approach for Reversible Data Hiding in Encrypted Images with Fibonacci Transform. Electronics. 2023; 12(2):450. https://doi.org/10.3390/electronics12020450 (IF 2.4)

11. Samal, S., Zhang, Y. D., Gadekallu, T. R., Nayak, R., & Balabantaray, B. K. (2023). SBMYv3: Improved MobYOLOv3 a BAM attention‐based approach for obscene image and video detection. Expert Systems, e13230. (IF 2.8)

12. Muhammad, Z., Amjad, F., Iqbal, Z. et al. Circumventing Google Play vetting policies: a stealthy cyberattack that uses incremental updates to breach privacy. J Ambient Intell Human Comput (2023). https://doi.org/10.1007/s12652-023-04535-7 (IF 3.4)

13. Y Supriya and Thippa Reddy Gadekallu. 2023. A Survey on Soft Computing Techniques for Federated Learning- Applications, Challenges and Future Directions. J. Data and Information Quality Just Accepted (January 2023). https://doi.org/10.1145/3575810

14. Rehan, M., Javed, A. R., Kryvinska, N., Gadekallu, T. R., Srivastava, G., & Jalil, Z. Supply Chain Management Using an Industrial Internet of Things Hyperledger Fabric Network. (IF 5.8)

15. Thien Huynh-The, Thippa Reddy Gadekallu, Weizheng Wang, Gokul Yenduri, Pasika Ranaweera, Quoc-Viet Pham, Daniel Benevides da Costa, Madhusanka Liyanage, Blockchain for the metaverse: A Review,Future Generation Computer Systems,2023 (IF 7.2)

16. Javed, A. R., Ahmed, W., Pandya, S., Maddikunta, P. K. R., Alazab, M., & Gadekallu, T. R. (2023). A Survey of Explainable Artificial Intelligence for Smart Cities. Electronics, 12(4), 1020.(IF: 2.6)

17. Kandati, D. R., & Gadekallu, T. R. (2023). Federated Learning Approach for Early Detection of Chest Lesion Caused by COVID-19 Infection Using Particle Swarm Optimization. Electronics, 12(3), 710.  (IF: 2.6)

18. AlShammari, N. K., Qazi, E. U. H., Gabr, A. M., Alzamil, A. A., Alshammari, A. S., Albadran, S. M., & Reddy, G. T. Post-stroke rehabilitation optimization & recommendation framework using tele-robotic ecosystem: Industry 4.0 readiness approach. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11.

19. Gadekallu, T. R., Alazab, M., Hemanth, J., & Wang, W. (2023). Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring. IEEE Journal of Biomedical and Health Informatics, 27(2), 648-651. (IF: 7.1)

20. Bhatia, S., Kumar, A., Reddy, T., Varshney, N., & Basheer, S. (2023). Matrix Quantization and LPC Vocoder Based Linear Predictive for Low-Resource Speech Recognition system. ACM Transactions on Asian and Low-Resource Language Information Processing. (IF: 1.5)

21. Yenduri, G., & Gadekallu, T. R. A review on soft computing approaches for predicting maintainability of software: State‐of‐the‐art, technical challenges, and future directions. Expert Systems, e13250. (IF: 2.7)

22. Balakrishnan, A., Ramana, K., Ashok, G., Viriyasitavat, W., Ahmad, S., & Gadekallu, T. R. (2023). Sonar glass—Artificial vision: Comprehensive design aspects of a synchronization protocol for vision based sensors. Measurement, 112636. (IF: 5.1)

23. Dasaradharami Reddy, K., Gadekallu, Thippa Reddy, A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics, 8393990, 2023, 1687-5265, https://doi.org/10.1155/2023/8393990, DO  - 10.1155/2023/8393990, Computational Intelligence and Neuroscience, Hindawi (IF: 3.2)

24. Gupta, D., Rani, S., Tiwari, B. et al. An edge communication based probabilistic caching for transient content distribution in vehicular networks. Sci Rep 13, 3614 (2023). https://doi.org/10.1038/s41598-023-30315-6 (IF 4.9)

25. A. Chaurasia, V. S. Sharma, C. L. Chowdhary, S. Basheer and T. R. Gadekallu, "Non-Gaussian Traffic Modelling for Multicore Architecture Using Wavelet Based Rosenblatt Process," in IEEE Access, doi: 10.1109/ACCESS.2023.3265572. (IF: 3.4)

26. S. Hossain, A. Chakrabarty, T. R. Gadekallu, M. Alazab and M. J. Piran, "Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3266614. (IF 7.1)

27. K. Guo et al., "GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles," in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3270202. (IF 6.3)

28. Prajjwal Gupta, Krishna Yadav, Brij B. Gupta, Mamoun Alazab, Thippa Reddy Gadekallu, "A Novel Data Poisoning Attack in Federated Learning based on Inverted Loss Function," Computers & Security, Volume 130, 2023, 103270,  ISSN 0167-4048, https://doi.org/10.1016/j.cose.2023.103270. (IF 5.1)

29. L. Teng et al., "FLPK-BiSeNet: Federated Learning Based on Priori Knowledge and Bilateral Segmentation Network for Image Edge Extraction," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3273991. (IF: 4.7)

30. pandey, S.K., Shukla, A., Bhatia, S. et al. Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model. Int J Comput Intell Syst 16, 80 (2023). https://doi.org/10.1007/s44196-023-00256-z (IF: 2.1)

31. Abduallah Ayub Khan, Asif Ali Laghari, Mamoon Rashid, Hang Li, Abdul Rehman Javed, Thippa Reddy Gadekallu, Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review, Sustainable Energy Technologies and Assessments, Volume 57, 2023, 103282, ISSN 2213-1388,  https://doi.org/10.1016/j.seta.2023.103282 (IF 7.1).

32. M. Pundir, J.K. Sandhu, D. Gupta et al., Data Rate Aware Reliable Transmission Mechanism in Wireless Sensor Networks using Bayesian Regularized Neural Network approach, Physical ommunication (2023), doi:  https://doi.org/10.1016/j.phycom.2023.102115. (IF: 2.4)

33. Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction, Expert Systems, WIley (IF: 2.4)

34. Muhammad Z, Anwar Z, Javed AR, Saleem B, Abbas S, Gadekallu TR. Smartphone Security and Privacy: A Survey on APTs, Sensor-Based Attacks, Side-Channel Attacks, Google Play Attacks, and Defenses. Technologies. 2023; 11(3):76. https://doi.org/10.3390/technologies11030076 (Scopus and ESCI)

35. Sharma RK, Issac B, Xin Q, Gadekallu TR, Nath K. Plant and Salamander Inspired Network Attack Detection and Data Recovery Model. Sensors. 2023; 23(12):5562. https://doi.org/10.3390/s23125562 (IF: 3.8)

36. S. P. Ramu, G. Srivastava, R. Chengoden, N. Victor, P. K. R. Maddikunta and T. R. Gadekallu, "The Metaverse for Cognitive Health: A Paradigm Shift," in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2023.3289034. (IF 4.1)

37. Javed, A.R., Saadia, A., Mughal, H. et al. Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions. Cogn Comput (2023). https://doi.org/10.1007/s12559-023-10153-4 (IF 4.8)

38. J. Sakhnini et al., "A Generalizable Deep Neural Network Method for Detecting Attacks in Industrial Cyber-Physical Systems," in IEEE Systems Journal, doi: 10.1109/JSYST.2023.3286375. (IF 4.8)

39. G. Yenduri et al., "From Assistive Technologies to Metaverse – Technologies in Inclusive Higher Education for Students with Specific Learning Difficulties: A Review," in IEEE Access, doi: 10.1109/ACCESS.2023.3289496. (IF 3.4)

40. A. K. S, S. B. Prathiba, R. S. Moorthy, G. Srivastava and T. R. Gadekallu, "Software Defined Networking Assisted Electric Vehicle Charging: Towards Smart Charge Scheduling and Management," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2023.3293053. (IF 6.4)

41. Mohammad Kamrul Hasan, Shayla Islam, Thippa Reddy Gadekallu, Ahmad Fadzil Ismail, Sanaz Amanlou, Siti Norul Huda Sheikh Abdullah, Novel EBBDSA based Resource Allocation Technique for Interference Mitigation in 5G Heterogeneous Network, Computer Communications, Volume 209, 2023, Pages 320-330, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2023.07.012. (https://www.sciencedirect.com/science/article/pii/S0140366423002414) (IF: 6)

42. Sultana SA, Rupa C, Malleswari RP, Gadekallu TR. IPFS-Blockchain Smart Contracts Based Conceptual Framework to Reduce Certificate Frauds in the Academic Field. Information. 2023; 14(8):446. https://doi.org/10.3390/info14080446 (IF 3.6)

43. A. K. Bashir et al., "Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3304790. (IF: 10.5)

44. Lamba, S., Kukreja, V., Rashid, J., Gadekallu, T. R., Kim, J., Baliyan, A., ... & Saini, S. A Novel Fine Tuned Deep Learning Based Multi-Class Classifier for Severity of Paddy Leaf Diseases. Frontiers in Plant Science, 14, 1234067. (IF 5.7)

45. N. Ashok Kumar et al., "Development of a double resampling based least-squares particle filter for accurate position estimation of a GPS receiver in Visakhapatnam region of the Indian subcontinent," in IEEE Sensors Journal, doi: 10.1109/JSEN.2023.3301709. (IF 4.4)

46. Chen, F., Gadekallu, T.R. Multi-dimensional Data Optimal Classification Algorithm for Quality Evaluation of Distance Teaching in Universities. Mobile Netw Appl (2023). https://doi.org/10.1007/s11036-023-02186-8 (IF 3.4)

47. Y. Zhuang, C. Wang, W. Zheng, N. Victor and T. R. Gadekallu, "ERACMA: Expressive and Revocable Access Control With Multi-Authority for AIoT-Enabled Human Centric Consumer Electronics," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3306752. (IF 4.4)

48. Prasad Yadav, D., Kumar, D., Singh Jalal, A., Kumar, A., Bhatia Khan, S., Gadekallu, T. R., ... & Malibari, A. A. (2023). Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification. Canadian Journal of Remote Sensing, 49(1), 2248270.  (IF 2.3)

49. C. D. Alwis, P. Porambage, K. Dev, T. R. Gadekallu and M. Liyanage, "A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions," in IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2023.3312349. (IF: 35.5)

50. Varone, G., Boulila, W., Driss, M., Kumari, S., Khan, M. K., Gadekallu, T. R., & Hussain, A. (2023). Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications. Information Fusion, 102006. (IF 18)

51. Uppal, M., Gupta, D., Juneja, S., Gadekallu, T. R., El-Bayoumy, I., Hussain, J., & Lee, S. W. Enhancing Accuracy in Brain Stroke Detection: Multi-Layer Perceptron with Adadelta, RMSProp and AdaMax Optimizers. Frontiers in Bioengineering and Biotechnology, 11, 1257591. (IF: 5.7)

52. Hamza, A., Javed, A. R., Iqbal, F., Yasin, A., Srivastava, G., Połap, D., ... & Jalil, Z. (2023). Multimodal Religiously Hateful Social Media Memes Classification based on Textual and Image Data. ACM Transactions on Asian and Low-Resource Language Information Processing.  (IF: 1.4)

53. P. Singh, M. Jha, M. Sharaf, M. A. Elmeligy and T. R. Gadekallu, "Harnessing a Hybrid CNN-LSTM Model for Portfolio Performance: A Case Study on Stock Selection and Optimization," in IEEE Access, doi: 10.1109/ACCESS.2023.3317953. (IF 3.9)

54. Jing Gao, Peng Li, Asif Ali Laghari, Gautam Srivastava, Thippa Reddy Gadekallu, Sidra Abbas, and Jianing Zhang. 2023. Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT. ACM Trans. Multimedia Comput. Commun. Appl. (September 2023). https://doi.org/10.1145/3625548 (IF 3.4)

55. M. Ramalingam et al., "A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems," in IEEE Access, doi: 10.1109/ACCESS.2023.3319089. (IF 3.9)

56. Anilkumar et al., "An Adaptive DeepLabv3+ for Semantic Segmentation of Aerial Images using Improved Golden Eagle Optimization Algorithm," in IEEE Access, doi: 10.1109/ACCESS.2023.3318867. (IF 3.9)

57. Mubeen Aslam, Lukman A. B. Rahim, Junzo Watada, Saddaf Rubab, Muhammad Attique Khan, Salman A. AlQahtani, Thippa Reddy Gadekallu, 

"Cloud migration framework clustering method for social decision support in modernizing the legacy system", Wilet ETT, 2023 (IF: 3.6)

58. A. A. Siddique et al., "Privacy-Enhanced Pneumonia Diagnosis: IoT-Enabled Federated Multi-Party Computation in Industry 5.0," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3319565. (IF: 4.4)

59. K. Wang et al., "SeqNovo: De Novo Peptide Sequencing Prediction in IoMT via Seq2Seq," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3321780. (IF: 7.3)

60. Thippa Reddy Gadekallu, Neeraj Kumar, Thar Baker, Deepa Natarajan, Prabadevi Boopathy, Praveen Kumar Reddy Maddikunta, Moth–Flame Optimization based ensemble classification for intrusion detection in intelligent transport system for smart cities, Microprocessors and Microsystems, Volume 103, 2023, 104935, ISSN 0141-9331, https://doi.org/10.1016/j.micpro.2023.104935 (IF: 2.6)

61. Q. Lai et al., "Improved Transformer-based Privacy-Preserving Architecture for Intrusion Detection in Secure V2X Communications," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3324081. (IF 4.4)

62. S. Abbas et al., "Aspect Category Detection of Mobile Edge Customer Reviews: A Distributed and Trustworthy Restaurant Recommendation System," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3323334. (IF 4.4)

63. W. Wang, Z. Han, T. R. Gadekallu, S. Raza, J. Tanveer and C. Su, "Lightweight Blockchain-Enhanced Mutual Authentication Protocol for UAVs," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3324543. (IF 10.2)

64. J. Gao et al., "Deep Incomplete Multi-View Clustering Via Information Bottleneck for Pattern Mining of Data in Extreme-Environment IoT," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3325272. (IF: 10.2)

65. Zhang, J., & Gadekallu, T. R. (2023). A Remote Health Detection System with Sensor Signal Purification. Mobile Networks and Applications, 1-13. (IF: 3.8)

66. Tripathy, S. S., Bebortta, S., & Gadekallu, T. R. (2023). Sustainable fog-assisted intelligent monitoring framework for consumer electronics in Industry 5.0 applications. IEEE Transactions on Consumer Electronics. (IF: 4.4)

67. Kumar, A., Rathee, G., Kerrache, C. A., Bilal, M., & Gadekallu, T. R. (2023). A Secure Architectural Model using Blockchain and Estimated Trust Mechanism in Electronic Consumers. IEEE Transactions on Consumer Electronics. (IF: 4.4)

68. Abdulkadir, R. A., Hasan, M. K., Islam, S., Gadekallu, T. R., Pandey, B., Safie, N., ... & Nasor, M. (2023). Novel residual hybrid machine learning for solar activity prediction in smart cities. Earth Science Informatics, 16(4), 3931-3945. (IF: 2.8)

69. Awasthi, C., Mishra, P. K., Pal, P. K., Khan, S. B., Agarwal, A. K., Gadekallu, T. R., & Malibari, A. A. (2023). Preservation of Sensitive Data Using Multi-Level Blockchain-based Secured Framework for Edge Network Devices. Journal of Grid Computing, 21(4), 69. (IF: 5.3)

70. Balachander, T., Ramana, K., Mohana, R. M., Srivastava, G., & Gadekallu, T. R. (2023). Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication. Tsinghua Science and Technology, 29(3), 698-720. (IF: 6.2)

2022:

1. K. Dev, P. K. R. Maddikunta, T. R. Gadekallu, S. Bhattacharya, P. Hegde and S. Singh, "Energy Optimization for Green Communication in IoT Using Harris Hawks Optimization," in IEEE Transactions on Green Communications and Networking, doi: 10.1109/TGCN.2022.3143991.

2. Swarna Priya Ramu, Parimala Boopalan, Quoc-Viet Pham, Praveen Kumar Reddy Maddikunta, Thien-Huynh The, Mamoun Alazab, Thanh Thi Nguyen, Thippa Reddy Gadekallu, "Federated Learning enabled Digital Twins for smart cities: Concepts, recent advances, and future directions," Sustainable Cities and Society, 2022, 103663, ISSN 2210-6707 (IF: 7.58)

3. A. R. Javed, W. Ahmed, M. Alazab, Z. Jalil, K. Kifayat and T. R. Gadekallu, "A Comprehensive Survey on Computer Forensics: State-of-the-art, Tools, Techniques, Challenges, and Future Directions," in IEEE Access, doi: 10.1109/ACCESS.2022.3142508. (IF: 3.3)

4. Deepa N., Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, B. Prabadevi, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana, "A survey on blockchain for big data: Approaches, opportunities, and future directions," Future Generation Computer Systems, 2022, ISSN 0167-739X, https://doi.org/10.1016/j.future.2022.01.017 (IF: 7.1).

5. Cao, Xz., Gadekallu, T.R. Construction of Sports Safety Information Mining Platform Based on Multimedia Data Sharing Technology. Mobile Netw Appl (2022). https://doi.org/10.1007/s11036-021-01884-5 (IF: 3.4).

6. M. Jemmali, M. Denden, W. Boulila, R. H. Jhaveri, G. Srivastava and T. R. Gadekallu, "A Novel Model Based on Window-Pass Preferences for Data-Emergency-Aware Scheduling in Computer Networks," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3149896. (IF: 10.2).

7.  Arikumar KS, Prathiba SB, Alazab M, Gadekallu TR, Pandya S, Khan JM, Moorthy RS. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems. Sensors. 2022; 22(4):1377. https://doi.org/10.3390/s22041377. (IF: 3.57)

8. Chandrasekar Ravi, Anmol Tigga, G Thippa Reddy, Saqib Hakak, and Mamoun Alazab. 2020. Driver Identification Using Optimized Deep Learning Model in Smart Transportation. ACM Trans. Internet Technol. 2022 DOI:https://doi.org/10.1145/3412353 (IF: 3.5)

9. X. Pan, X. Cai, K. Song, T. Baker, T. R. Gadekallu and X. Yuan, "Location Recommendation Based on Mobility Graph With Individual and Group Influences," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3149869. 2022 (6.3)

10. Gadamsetty S, Ch R, Ch A, Iwendi C, Gadekallu TR. "Hash-Based Deep Learning Approach for Remote Sensing Satellite Imagery Detection". Water. 2022; 14(5):707. https://doi.org/10.3390/w14050707 (IF 3.1)

11. J. Song, W. Wang, T. R. Gadekallu, J. Cao and Y. Liu, "EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3153519. 2022 (IF 3.89)

12. Roy AK, Nath K, Srivastava G, Gadekallu TR, Lin JC-W. Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks. Sensors. 2022; 22(5):1958. (IF: 3.5)

13. S. Pandya, T. R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.

14. Muhammad Rizwan, Aysha Shabbir, Abdul Rehman Javed, Gautam Srivastava, Thippa Reddy Gadekallu, Maryam Shabir, Muhammad Abul Hassan, :Risk monitoring strategy for confidentiality of healthcare information," Computers & Electrical Engineering, Volume 100, 2022, 107833, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107833. (IF 3.8)

15.  Muhammad Rizwan, Aysha Shabbir, Abdul Rehman Javed, Gautam Srivastava, Thippa Reddy Gadekallu, Maryam Shabir, Muhammad Abul Hassan, "Risk monitoring strategy for confidentiality of healthcare information," Computers & Electrical Engineering, Volume 100, 2022, 107833, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107833. (IF 3.8)

16. K. Saleem et al., "Situation-aware BDI Reasoning to Detect Early Symptoms of Covid 19 using Smartwatch," in IEEE Sensors Journal, doi: 10.1109/JSEN.2022.3156819. (IF 3.3)

17.  Majid M, Habib S, Javed AR, Rizwan M, Srivastava G, Gadekallu TR, Lin JC-W. Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review. Sensors. 2022; 22(6):2087. https://doi.org/10.3390/s22062087 (IF 3.5)

18. Sarkar, S., Agrawal, S., Baker, T. et al. Catalysis of neural activation functions: Adaptive feed-forward training for big data applications. Appl Intell (2022). https://doi.org/10.1007/s10489-021-03082-y (IF 5.2)

19. Muhammad Farrukh Bashir, Abdul Rehman Javed, Muhammad Umair Arshad, Thippa Reddy Gadekallu, Waseem Shahzad, and Mirza Omer Beg. 2022. Context Aware Emotion Detection from Low Resource Urdu Language using Deep Neural Network. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (March 2022). DOI:https://doi.org/10.1145/3528576 (IF: 1.3)

20. M. K. Hasan et al., "Evolution of Industry and Blockchain Era: Monitoring Price Hike and Corruption using BIoT for Smart Government and Industry 4.0," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3164066 (IF: 10.2).

21. Madhusanka Liyanage, Quoc-Viet Pham, Kapal Dev, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Gokul Yenduri, A survey on Zero touch network and Service (ZSM) Management for 5G and beyond networks, Journal of Network and Computer Applications, 2022, 103362, ISSN 1084-8045, https://doi.org/10.1016/j.jnca.2022.103362. (https://www.sciencedirect.com/science/article/pii/S1084804522000297) (IF 6.2)

22. aryum Bibi, Wajid Arshad Abbasi, Wajid Aziz, Sundus Khalil, Mueen Uddin, Celestine Iwendi, Thippa Reddy Gadekallu, A Novel Unsupervised Ensemble Framework using Concept-based Linguistic Methods and Machine Learning for Twitter Sentiment Analysis, Pattern Recognition Letters, 2022, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2022.04.004. (IF 3.7)

23. Ahmad, Shakeel, Singh, Ninni, Gunjan, Vinit Kumar, Kadiyala, Ramana, Xin, Qin, Gadekallu, Thippa Reddy, Performance Evaluation of SeisTutor Using Cognitive Intelligence‐Based “Kirkpatrick Model”, SP  - 5092962, VL  - 2022 Computational Intelligence and Neuroscience, PB  - Hindawi (IF 3.7)

24. Shen, Yb., Gadekallu, T.R. Resource Search Method of Mobile Intelligent Education System Based on Distributed Hash Table. Mobile Netw Appl (2022). https://doi.org/10.1007/s11036-022-01940-8 (IF: 3.4)

25. W. Wang, G. Srivastava, J. C. -W. Lin, Y. Yang, M. Alazab and T. R. Gadekallu, "Data Freshness Optimization Under CAA in the UAV-Aided MECN: A Potential Game Perspective," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3167485. (IF: 6.4)

26.  Bhattacharya S, Chengoden R, Srivastava G, Alazab M, Javed AR, Victor N, Maddikunta PKR, Gadekallu TR. Incentive Mechanisms for Smart Grid: State of the Art, Challenges, Open Issues, Future Directions. Big Data and Cognitive Computing. 2022; 6(2):47. https://doi.org/10.3390/bdcc6020047 

27. Mannan, Abdul, Abbasi, Ahmed, Javed, Abdul Rehman, Ahsan, Anam, Gadekallu, Thippa Reddy, Xin, Qin, Hypertuned Deep Convolutional Neural Network for Sign Language Recognition, https://doi.org/10.1155/2022/1450822, Computational Intelligence and Neuroscience, Hindawi (IF: 3.7)

28. Muhammad Waseem Akram, Muhammad Salman, Muhammad Farrukh Bashir, Syed Muhammad Saad Salman, Thippa Reddy Gadekallu, and Abdul Rehman Javed. 2022. A Novel Deep Auto-Encoder Based Linguistics Clustering Model for Social Text. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (February 2022). https://doi.org/10.1145/3527838. (IF: 1.3)

29. Li, H., Shi, D., Wang, W., Liao, D., Gadekallu, T. R., & Yu, K. (2022). Secure Routing for LEO Satellite Network Survivability. Computer Networks, 109011. (IF 4.4).

30.  Safdar S, Rizwan M, Gadekallu TR, Javed AR, Rahmani MKI, Jawad K, Bhatia S. Bio-Imaging-Based Machine Learning Algorithm for Breast Cancer Detection. Diagnostics. 2022; 12(5):1134. https://doi.org/10.3390/diagnostics12051134 (IF 3.7)

31. Ashish Sharma, Rahul Singh Tanwar, Yash Singh, Ajay Sharma, Shaktiraj Daudra, Gaurav Singal, Thippa Reddy Gadekallu, Sidharth Pancholi, Heart rate and blood pressure measurement based on photoplethysmogram signal using fast Fourier transform, Computers and Electrical Engineering, Volume 101, 2022, 108057, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108057. (IF: 3.8)

32. Parimala Boopalan, Swarna Priya Ramu, Quoc-Viet Pham, Kapal Dev,  Sharnil-Pandya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Thien Huynh-The, Fusion of Federated Learning and Industrial Internet of Things: A survey, Computer Networks, 2022, 109048, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2022.109048. (IF 4.4)

33. C. Rupa, M. Harshita, G. Srivastava, T. R. Gadekallu and P. K. R. Maddikunta, "Securing Multimedia using a Deep Learning based Chaotic Logistic Map," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2022.3178629. (IF: 5.7).

34. Ramana, K., Kumar, M. R., Sreenivasulu, K., Gadekallu, T. R., Bhatia, S., Agarwal, P., & Idrees, S. M. Early Prediction of Lung Cancers using Deep Saliency Capsule and Pre-trained Deep Learning Frameworks. Frontiers in Oncology, 2641. (IF: 6.2)

35. Ali, T. M., Nawaz, A., Rehman, A. U., Ahmad, R. Z., Javed, A. R., Gadekallu, T. R., ... & Wu, C. M. A sequential machine learning cum attention mechanism for effective segmentation of brain tumor. Frontiers in Oncology, 2129. (if: 6.2)

36. Shakeel, T., Habib, S., Boulila, W. et al. A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects. Complex Intell. Syst. (2022). https://doi.org/10.1007/s40747-022-00767-w (IF: 4.8)

37. Abbasi, A., Javed, A.R., Iqbal, F. et al. Authorship identification using ensemble learning. Sci Rep 12, 9537 (2022). https://doi.org/10.1038/s41598-022-13690-4 (IF 4.3)

38. Javed AR, Hassan MA, Shahzad F, Ahmed W, Singh S, Baker T, Gadekallu TR. Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey. Sensors. 2022; 22(12):4394. https://doi.org/10.3390/s22124394 (IF 3.5)

39.  Yadav A, Joshi D, Kumar V, Mohapatra H, Iwendi C, Gadekallu TR. Capability and Robustness of Novel Hybridized Artificial Intelligence Technique for Sediment Yield Modeling in Godavari River, India. Water. 2022; 14(12):1917. https://doi.org/10.3390/w14121917 (IF: 3.2)

40. M. Alazab, T. R. Gadekallu and C. Su, "Guest Editorial: Security and Privacy Issues in Industry 4.0 Applications," in IEEE Transactions on Industrial Informatics, vol. 18, no. 9, pp. 6326-6329, Sept. 2022, doi: 10.1109/TII.2022.3164741. (IF: 10.1)

41. W. Wang, Z. Han, M. Alazab, T. R. Gadekallu, X. Zhou and C. Su, "Ultra Super Fast Authentication Protocol for Electric Vehicle Charging Using Extended Chaotic Maps," in IEEE Transactions on Industry Applications, 2022, doi: 10.1109/TIA.2022.3184668. (IF 3.7)

42. Tripathy, B. K., Reddy Maddikunta, Praveen Kumar, Pham, Quoc-Viet, Gadekallu, Thippa Reddy, Dev, Kapal, Pandya, Sharnil, 2022, "TI  - Harris Hawk Optimization: A Survey onVariants and Applications", Computational Intelligence and Neuroscience, Hindawi. (IF: 3.1)

43. Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Ons Aouedi, Gokul Yenduri, Sweta Bhattacharya, Thippa Reddy Gadekallu, Incentive techniques for the Internet of Things: A survey, Journal of Network and Computer Applications, 2022, 103464, ISSN 1084-8045, https://doi.org/10.1016/j.jnca.2022.103464. (IF: 7.2)

44. Abdullah Ayub Khan, Asif Ali Laghari, Thippa Reddy Gadekallu, Zaffar Ahmed Shaikh, Abdul Rehman Javed, Mamoon Rashid, Vania V. Estrela, Alexey Mikhaylov, A drone-based data management and optimization using metaheuristic algorithms and blockchain smart contracts in a secure fog environment, Computers and Electrical Engineering, Volume 102, 2022, 108234, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108234. (IF: 4.1)

45. Ch A, Ch R, Gadamsetty S, Iwendi C, Gadekallu TR, Dhaou IB. ECDSA-Based Water Bodies Prediction from Satellite Images with UNet. Water. 2022; 14(14):2234. https://doi.org/10.3390/w14142234 (IF: 3.5)

46. Vyas, A.H., Mehta, M.A., Kotecha, K. et al. Tear film breakup time-based dry eye disease detection using convolutional neural network. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07652-0 (IF: 5.1)

47.  Li, Peng and Laghari, Asif Ali and Rashid, Mamoon and Gao, Jing and Gadekallu, Thippa Reddy and Javed, Abdul Rehman and Yin, Shoulin, IEEE Transactions on Industrial Informatics, A Deep Multimodal Adversarial Cycle-Consistent Network for Smart Enterprise System, 2022, pp. 1-10,  doi: 10.1109/TII.2022.3197201 (IF: 11.2)

48. Salil Bharany, Sumit Badotra, Sandeep Sharma, Shalli Rani, Mamoun Alazab, Rutvij H. Jhaveri, Thippa Reddy Gadekallu, "Energy efficient fault tolerance techniques in green cloud computing: A systematic survey and taxonomy," Sustainable Energy Technologies and Assessments, Volume 53, Part B, 2022, 102613, ISSN 2213-1388, https://doi.org/10.1016/j.seta.2022.102613. (IF: 7.3)

49. Rehman, Mujeeb Ur and Shafique, Arslan and Ghadi, Yazeed Yasin and Boulila, Wadii and Jan, Sana Ullah and Gadekallu, Thippa Reddy and Driss, Maha and Ahmad, Jawad},

50. Rehman, Mujeeb Ur and Shafique, Arslan and Ghadi, Yazeed Yasin and Boulila, Wadii and Jan, Sana Ullah and Gadekallu, Thippa Reddy and Driss, Maha and Ahmad, Jawad, IEEE Transactions on Network Science and Engineering, A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis, 2022, pages. 1-17 (IF: 5.2)

51. K. Dev, Y. Xiao, T. R. Gadekallu, J. M. Corchado, G. Han and M. Magarini, "Guest Editorial Special Issue on Green Communication and Networking for Connected and Autonomous Vehicles," in IEEE Transactions on Green Communications and Networking, vol. 6, no. 3, pp. 1260-1266, Sept. 2022, doi: 10.1109/TGCN.2022.3195309. (IF: 3.5)

52. Chaganti R, Varadarajan V, Gorantla VS, Gadekallu TR, Ravi V. Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. Future Internet. 2022; 14(9):250. https://doi.org/10.3390/fi14090250 (ESCI & Scopus)

53. Kandati DR, Gadekallu TR. Genetic Clustered Federated Learning for COVID-19 Detection. Electronics. 2022; 11(17):2714. https://doi.org/10.3390/electronics11172714 (IF: 2.6)

54. Fatemeh Esmaeilnezhad Tanha, Aliakbar Hasani, Saqib Hakak, Thippa Reddy Gadekallu, Blockchain-based cyber physical systems: Comprehensive model for challenge assessment, Computers and Electrical Engineering, Volume 103, 2022, 108347, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108347. (IF: 4.1)

55. Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Mamoun Alazab, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, "Federated Learning for intrusion detection system: Concepts, challenges and future directions," Computer Communications, 2022, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2022.09.012. (IF: 5)

56.  Manikandan S, Kaliyaperumal G, Hakak S, Gadekallu TR. Curve-Aware Model Predictive Control (C-MPC) Trajectory Tracking for Automated Guided Vehicle (AGV) over On-Road, In-Door, and Agricultural-Land. Sustainability. 2022; 14(19):12021. https://doi.org/10.3390/su141912021 (IF 3.8)

57. M. Alazab et al., "Digital Twins for Healthcare 4.0 - Recent Advances, Architecture, and Open Challenges," in IEEE Consumer Electronics Magazine, 2022, doi: 10.1109/MCE.2022.3208986. (IF 4.1)

58.  Pandya S, Gadekallu TR, Maddikunta PKR, Sharma R. A Study of the Impacts of Air Pollution on the Agricultural Community and Yield Crops (Indian Context). Sustainability. 2022; 14(20):13098. https://doi.org/10.3390/su142013098 (IF 3.8)

59. Ch R, Kumari D J, Gadekallu TR, Iwendi C. Distributed-Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis. Electronics. 2022; 11(20):3308. https://doi.org/10.3390/electronics11203308 (IF 2.7)

60. Weizheng Wang, Huakun Huang, Zhimeng Yin, Thippa Reddy Gadekallu, Mamoun Alazab, Chunhua Su, Smart contract token-based privacy-preserving access control system for industrial Internet of Things, Digital Communications and Networks, 2022, ISSN 2352-8648, https://doi.org/10.1016/j.dcan.2022.10.005. (IF: 6.3)

61. Ravi Gatti, Arjun Kumar G.B., Sunil Kumar K.N., Satyasrikanth Palle, Thippa Reddy Gadekallu, Optimal resource scheduling algorithm for cell boundaries users in heterogenous 5G networks, Physical Communication, 2022, 101915, ISSN 1874-4907 (IF: 2.3).

62. Yang, Y., Wang, W., Yin, Z., Xu, R., Zhou, X., Kumar, N., ... & Gadekallu, T. R. (2022). Mixed Game-based AoI Optimization for Combating COVID-19 with AI Bots. IEEE Journal on Selected Areas in Communications. (IF 13)

63. Pandya, S., Ghayvat, H., Reddy, P. K., Gadekallu, T. R., Khan, M. A., & Kumar, N. (2022). COUNTERSAVIOR: AIoMT and IIoT enabled Adaptive Virus Outbreak Discovery Framework for Healthcare Informatics. IEEE Internet of Things Journal. (IF: 10.5)

64. Z. Lian, Q. Zeng, W. Wang, T. R. Gadekallu and C. Su, "Blockchain-Based Two-Stage Federated Learning With Non-IID Data in IoMT System," in IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3216802. (IF: 4.7)

65. Bhattacharya S, Victor N, Chengoden R, Ramalingam M, Selvi GC, Maddikunta PKR, Donta PK, Dustdar S, Jhaveri RH, Gadekallu TR. Blockchain for Internet of Underwater Things: State-of-the-Art, Applications, Challenges, and Future Directions. Sustainability. 2022; 14(23):15659. https://doi.org/10.3390/su142315659 (IF: 3.7)

66. Saqib Hakak, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Swarna Priya Ramu, Parimala M, Chamitha De Alwis, Madhusanka Liyanage, Autonomous Vehicles in 5G and Beyond: A Survey, Vehicular Communications, 2022, 100551, ISSN 2214-2096, https://doi.org/10.1016/j.vehcom.2022.100551. (IF 8.3)

67. Arikumar KS, Deepak Kumar A, Gadekallu TR, Prathiba SB, Tamilarasi K. Real-Time 3D Object Detection and Classification in Autonomous Driving Environment Using 3D LiDAR and Camera Sensors. Electronics. 2022; 11(24):4203. https://doi.org/10.3390/electronics11244203 (IF: 2.4)

68. Han, Zhaoyang and Yang, Yaoqi and Wang, Weizheng and Zhou, Lu and Gadekallu, Thippa Reddy and Alazab, Mamoun and Gope, Prosanta and Su, Chunhua, IEEE Transactions on Intelligent Transportation Systems, "RSSI Map-Based Trajectory Design for UGV Against Malicious Radio Source: A Reinforcement Learning Approach", 2022,  doi={10.1109/TITS.2022.3208245}} (IF: 9.3)

69. Jiang, Dk., Gadekallu, T.R. Research on a Mobile Prediction Platform for Dynamic Changes in Athletic Performance Based on Screening Factors. Mobile Netw Appl (2022). https://doi.org/10.1007/s11036-022-02074-7 (IF: 3.07)

70. Yenduri, G., Gadekallu, T.R. A multiple criteria decision analysis based approach to remove uncertainty in SMP models. Sci Rep 12, 22386 (2022). https://doi.org/10.1038/s41598-022-27059-0 (IF 4.9)

71.  Bhandari A, Tripathy B, Adate A, Saxena R, Gadekallu TR. From Beginning to BEGANing: Role of Adversarial Learning in Reshaping Generative Models. Electronics. 2023; 12(1):155. https://doi.org/10.3390/electronics12010155 (IF: 2.6)

2021:

1. Maddikunta, P. K. R., Hakak, S., Alazab, M., Bhattacharya, S., Gadekallu, T. R., Khan, W. Z., & Pham, Q. V. (2020). Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges. IEEE Sensors Journal. (IF: 3.3)

2.  Abidi, M. H., Alkhalefah, H., Moiduddin, K., Alazab, M., Mohammed, M. K., Ameen, W., & Gadekallu, T. R. (2021). Optimal 5G Network Slicing Using Machine Learning and Deep Learning Concepts. Computer Standards & Interfaces, 103518. (IF: 2.48)

3.  D. Datta, L. Garg, K. Srinivasan, A. Inoue, G. T. Reddy et al., "An efficient sound and data steganography based secure authentication system," Computers, Materials & Continua, vol. 67, no.1, pp. 723–751, 2021. (IF 3.7)

4.  V. Priya, I. S. Thaseen, T. R. Gadekallu, M. K. Aboudaif and E. A. Nasr, "Robust attack detection approach for iiot using ensemble classifier," Computers, Materials & Continua, vol. 66, no.3, pp. 2457–2470, 2021. (IF: 3.7)

5.  Zehra, W., Javed, A. R., Jalil, Z., Khan, H. U., & Gadekallu, T. R. Cross corpus multi-lingual speech emotion recognition using ensemble learning. Complex & Intelligent Systems, 1-10. (IF: 4.9)

6.  Kumar, R., Kumar, P., Tripathi, R., Gupta, G. P., Gadekallu, T. R., & Srivastava, G. SP2F: A privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles. Computer Networks, 107819. (IF: 4.4)

7. Alazab, M., Lakshmanna, K., Reddy, T., Pham, Q. V., & Maddikunta, P. K. R. Multi-objective cluster head selection using fitness averaged rider optimization algorithm for IoT networks in smart cities. Sustainable Energy Technologies and Assessments, 43, 100973. (IF: 5.3)

8.  R. Kaluri, D. S. Rajput, Q. Xin, K. Lakshmanna, S. Bhattacharya et al., "Roughsets-based approach for predicting battery life in iot," Intelligent Automation & Soft Computing, vol. 27, no.2, pp. 453–469, 2021. (IF: 1.6)

9. A. Rehman, S. Ur Rehman, M. Khan, M. Alazab and T. R. G, "CANintelliIDS: Detecting In-Vehicle Intrusion Attacks on a Controller Area Network using CNN and Attention-based GRU," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3059881. (IF: 3.8)

10. Abbas S, Jalil Z, Javed AR, Batool I, Khan MZ, Noorwali A, Gadekallu TR, Akbar A. 2021. BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm. PeerJ Computer Science 7:e390 https://doi.org/10.7717/peerj-cs.390. (IF: 1.3)

11. Bashir, A. K., Khan, S., Prabadevi, B., Deepa, N., Alnumay, W. S., Gadekallu, T. R., & Maddikunta, P. K. R. Comparative analysis of machine learning algorithms for prediction of smart grid stability. International Transactions on Electrical Energy Systems, e12706. (IF: 2.8)

12. Kumar, R., Tripathi, R., Marchang, N., Srivastava, G., Gadekallu, T. R., & Xiong, N. N. (2021). A secured distributed detection system based on IPFS and blockchain for industrial image and video data security. Journal of Parallel and Distributed Computing. (IF: 3.7)

13. Gadekallu, T.R., Alazab, M., Kaluri, R. et al. Hand gesture classification using a novel CNN-crow search algorithm. Complex Intell. Syst. (2021). https://doi.org/10.1007/s40747-021-00324-x (IF: 4.9)

14. A. Naeem, A. R. Javed, M. Rizwan, S. Abbas, J. C. -W. Lin and T. R. Gadekallu, "DARE-SEP: A Hybrid Approach of Distance Aware Residual Energy-Efficient SEP for WSN," in IEEE Transactions on Green Communications and Networking, doi: 10.1109/TGCN.2021.3067885.

15. Rajput, D.S., Basha, S.M., Xin, Q. et al. Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-03154-4 (IF: 7.1)

16. Prabadevi, B., Deepa, N., Pham, Q. V., Nguyen, D. C., Reddy, T., Pathirana, P. N., & Dobre, O. (2021). Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions. IEEE Internet of Things Magazine. 

17. Ashokkumar P, Siva Shankar G, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, and Thippa Reddy Gadekallu. 2021. A Two-stage Text Feature Selection Algorithm for Improving Text Classification. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 20, 3, Article 49 (April 2021), 19 pages. DOI:https://doi.org/10.1145/3425781 (IF 1.4)

18. C, D, N, NU, Maddikunta, PR, Gadekallu, TR, Iwendi, C, Wei, C, Xin, Q. Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning. IET Image Process. 2021; 1– 12. https://doi.org/10.1049/ipr2.12222 (IF 2.3)

19. Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu. Genetically Optimized Prediction of Remaining Useful Life, Sustainable Computing: Informatics and Systems, 2021, 100565, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2021.100565. (IF 4.02)

20. Han Wang, Xingwang Li, Rutvij H. Jhaveri, Thippa Reddy Gadekallu, Mingfu Zhu, Tariq Ahamed Ahanger, Sunder Ali Khowaja, Sparse Bayesian learning based channel estimation in FBMC/OQAM industrial IoT networks, Computer Communications, 2021. (IF 3.1)

21. W. Wang, H. Xu, M. Alazab, T. R. Gadekallu, Z. Han and C. Su, "Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3084753. (IF 10.2)

22. Ayoub, K. Mahboob, A. R. Javed, M. Rizwan, T. R. Gadekallu et al., "Classification and categorization of covid-19 outbreak in pakistan," Computers, Materials & Continua, vol. 69, no.1, pp. 1253–1269, 2021. (IF 3.7)

23. P. Kumar et al., "PPSF: A Privacy-Preserving and Secure Framework using Blockchain-based Machine-Learning for IoT-driven Smart Cities," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3089435. (IF 3.8)

24. Tayyab Khan, Karan Singh, Mohd Hilmi Hasan, Khaleel Ahmad, G. Thippa Reddy, Senthilkumar Mohan, Ali Ahmadian, "ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs," Future Generation Computer Systems, Volume 125, 2021, Pages 921-943, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.06.049. IF 7.1)

25. Srinivasu, P.N., Bhoi, A.K., Jhaveri, RGadekallu T.R., M. Bilal, Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors. J Real-Time Image Proc (2021). https://doi.org/10.1007/s11554-021-01122-x (IF: 2.3)

26. Bhattacharya, S., Kumar, P., Meenakshisundaram, I., Gadekallu, T. R., Sharma, S. et al. (2021). Deep Neural Networks Based Approach for Battery Life Prediction. CMC-Computers, Materials & Continua, 69(2), 2599–2615. (IF: 3.8)

27. Mubashar, A., Asghar, K., Javed, A. R., Rizwan, M., Srivastava, G., Gadekallu, T. R., ... & Shabbir, M. (2021). Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-based Optimization Algorithm. Journal of Circuits, Systems and Computers, 2250010. (IF: 1.3)

28. N.M Balamurugan, Senthilkumar Mohan, M. Adimoolam, A John, Thippa reddy G, Weizheng Wang, "DOA Tracking for seamless connectivity in beamformed IoT-based drones," Computer Standards & Interfaces, 2021, 103564, ISSN 0920-5489, https://doi.org/10.1016/j.csi.2021.103564. (IF: 2.4)

29. T. Wang, Y. Quan, X. S. Shen, T. R. Gadekallu, W. Wang and K. Dev, "A Privacy-Enhanced Retrieval Technology for the Cloud-assisted Internet of Things," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3103547. (IF 10.2).

30. Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Prabadevi B, N Deepa, Kapal Dev, Thippa Reddy Gadekallu, Rukhsana Ruby, Madhusanka Liyanage, "Industry 5.0: A survey on enabling technologies and potential applications," Journal of Industrial Information Integration, 2021, 100257, ISSN 2452-414X, https://doi.org/10.1016/j.jii.2021.100257. (IF 10.02)

31. R. Jhaveri, R. Sagar, G. Srivastava, T. R. Gadekallu and V. Aggarwal, "Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3104499. {IF: 3.8)

32. Musse Mohamud Ahmed, Mohammad Kamrul Hasan, Muhammad Shafiq, Md Ohirul Qays, Thippa Reddy Gadekallu, Jamel Nebhen, Shayla Islam, "A peer-to-peer blockchain based interconnected power system," Energy Reports, 2021, ISSN 2352-4847, https://doi.org/10.1016/j.egyr.2021.08.071. (IF: 6.8)

33. H. Xiong et al., "On the Design of Blockchain-based ECDSA with Fault-tolerant Batch Verication Protocol for Blockchain-enabled IoMT," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3112693. (IF: 5.3)

34. Javed, A. R., Jalil, Z., Zehra, W., Gadekallu, T. R., Suh, D. Y., & Piran, M. J. (2021). A comprehensive survey on digital video forensics: Taxonomy, challenges, and future directions. Engineering Applications of Artificial Intelligence, 106, 104456. (IF: 6.2)

35. T. R. Gadekallu, M. M K, S. K. S, N. Kumar, S. Hakak and S. Bhattacharya, "Blockchain-Based Attack Detection on Machine Learning Algorithms for IoT-Based e-Health Applications," in IEEE Internet of Things Magazine, vol. 4, no. 3, pp. 30-33, September 2021, doi: 10.1109/IOTM.1021.2000160.

36. Wang, W., Fida, M. H., Lian, Z., Yin, Z., Pham, Q. V., Gadekallu, T. R., ... & Su, C. (2021). Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction. IEEE Consumer Electronics Magazine. (IF: 3.78)

37. W. Wang et al., "Blockchain and PUF-based Lightweight Authentication Protocol for Wireless Medical Sensor Networks," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3117762. (IF: 9.5)

38. M. Alazab, S. P. R M, P. M, P. Reddy, T. R. Gadekallu and Q. -V. Pham, "Federated Learning for Cybersecurity: Concepts, Challenges and Future Directions," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3119038. (IF 10.2)

39. T. R. Gadekallu et al., "Blockchain for Edge of Things: Applications, Opportunities, and Challenges," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3119639. (IF 9.4)

40. Xu, L., Zhou, X., Li, X., Jhaveri, R. H., Gadekallu, T. R., & Ding, Y. (2021). Mobile Collaborative Secrecy Performance Prediction for Artificial IoT Networks. IEEE Transactions on Industrial Informatics. (IF 10,2)

41. Agrawal Shaashwat, Sarkar Sagnik, Alazab Mamoun, Maddikunta Praveen Kumar Reddy, Gadekallu Thippa Reddy, Pham Quoc-Viet (2021), "Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning", Computational intelligence and neuroscience, Hindawi. (IF: 3.7).

42. Yenduri, G., & Gadekallu, T. R. (2021). Firefly Based Maintainability Prediction for Enhancing Quality of Software. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. (IF 1.5).

43.  Agrawal, S., Chowdhuri, A., Sarkar, S., Selvanambi, R., & Gadekallu, T. R. (2021). Temporal Weighted Averaging for Asynchronous Federated Intrusion Detection Systems. Computational Intelligence and Neuroscience, 2021. (IF 3.7)

2020:

1.   Hakak, S., Alazab, M., Khan, S., Gadekallu, T. R., Maddikunta, P. K. R., & Khan, W. Z. (2020). An ensemble machine learning approach through effective feature extraction to classify fake news. Future Generation Computer Systems. (IF: 7.1)

2. Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Siva Rama Krishnan S, Chiranji Lal Chowdhary, Mamoun Alazab, Md. Jalil Piran, “Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey, “, Sustainable Cities and Society, 2020, 102589, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2020.102589. (IF: 7.5)

3.  Ch, R., Srivastava, G., Gadekallu, T. R., Maddikunta, P. K. R., & Bhattacharya, S. (2020). Security and privacy of UAV data using blockchain technology. Journal of Information Security and Applications, 55, 102670. (IF: 3.8)

4.   Reddy, T., Bhattacharya, S., Maddikunta, P. K. R., Hakak, S., Khan, W. Z., Bashir, A. K., ... & Tariq, U. (2020). Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset. Multimedia Tools and Applications, 1-25. (IF: 2.7)

5.  Deepa, N., Khan, M. Z., Maddikunta, P. K. R., & Gadekallu, T. R. (2020). Multiclass Model for Agriculture development using Multivariate Statistical method. IEEE Access. (IF: 3.3)

6.  Bhardwaj, A., Shah, S. B. H., Shankar, A., Alazab, M., Kumar, M., & Gadekallu, T. R. (2020). Penetration testing framework for smart contract Blockchain. Peer-to-Peer Networking and Applications, 1-16. (IF: 3.3)

7.   Rajadurai, S., Alazab, M., Kumar, N., & Gadekallu, T. R. (2020). Latency evaluation of SDFGs on heterogeneous processors using timed automata. IEEE Access, 8, 140171-140180. (IF: 3.3)

8.   Shrivastava, R., Kumar, P., Tripathi, S., Tiwari, V., Rajput, D. S., Gadekallu, T. R., ... & Ra, I. H. (2020). A Novel Grid and Place Neuron’s Computational Modeling to Learn Spatial Semantics of an Environment. Applied Sciences, 10(15), 5147. (IF: 2.6)

9.  Maddikunta, P. K. R., Srivastava, G., Gadekallu, T. R., Deepa, N., & Boopathy, P. (2020). Predictive model for battery life in IoT networks. IET Intelligent Transport Systems. (IF: 2.4)

10.  Krishnasamy, L., Dhanaraj, R. K., Ganesh Gopal, D., Reddy Gadekallu, T., Aboudaif, M. K., & Abouel Nasr, E. (2020). A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks. Sensors, 20(17), 4937. (IF: 3.5)

11.  Deepa, N., Prabadevi, B., Maddikunta, P. K., Gadekallu, T. R., Baker, T., Khan, M. A., & Tariq, U. (2020). An AI based intelligent system for healthcare analysis using Ridge Adaline Stochastic Gradient Descent Classifier. Journal of Supercomputing. (IF: 2.4)

12. Gadekallu, T. R., Rajput, D. S., Reddy, M. P. K., Lakshmanna, K., Bhattacharya, S., Singh, S., ... & Alazab, M. (2020). A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU. Journal of Real-Time Image Processing, 1-14. (IF: 2.3)

13.  RM, S. P., Maddikunta, P. K. R., Parimala, M., Koppu, S., Reddy, T., Chowdhary, C. L., & Alazab, M. (2020). An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture. Computer Communications. (IF; 3.3)

14.  Reddy, G. T., Reddy, M. P. K., Lakshmanna, K., Rajput, D. S., Kaluri, R., & Srivastava, G. (2020). Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evolutionary Intelligence, 13(2), 185-196. (ESCI and Scopus)

15.  Maddikunta, P. K. R., Gadekallu, T. R., Kaluri, R., Srivastava, G., Parizi, R. M., & Khan, M. S. (2020). Green communication in IoT networks using a hybrid optimization algorithm. Computer Communications. (IF 3.3)

16.  Maddikunta, P. K. R., Gadekallu, T. R., Al-Ahmari, A., & Abidi, M. H. (2020). Location Based Business Recommendation Using Spatial Demand. Sustainability, 12(10), 4124. (IF: 3.2)

17.  Alazab, M., Khan, S., Krishnan, S. S. R., Pham, Q. V., Reddy, M. P. K., & Gadekallu, T. R. (2020). A Multidirectional LSTM Model for Predicting the Stability of a Smart Grid. IEEE Access, 8, 85454-85463. (IF: 3.3)

18. Gadekallu, T. R., Khare, N., Bhattacharya, S., Singh, S., Maddikunta, P. K. R., & Srivastava, G. (2020). Deep neural networks to predict diabetic retinopathy. J. Ambient Intell. Humaniz. Comput. (IF: 7.1)

19.  RM, S. P., Bhattacharya, S., Maddikunta, P. K. R., Somayaji, S. R. K., Lakshmanna, K., Kaluri, R., ... & Gadekallu, T. R. (2020). Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything. Journal of Parallel and Distributed Computing. (IF: 3.7)

20.  Iwendi, C., Jalil, Z., Javed, A. R., Reddy, T., Kaluri, R., Srivastava, G., & Jo, O. (2020). KeySplitWatermark: Zero Watermarking Algorithm for Software Protection Against Cyber-Attacks. IEEE Access, 8, 72650-72660. (IF: 3.3)

21.  Reddy, T., RM, S. P., Parimala, M., Chowdhary, C. L., Hakak, S., & Khan, W. Z. (2020). A deep neural networks based model for uninterrupted marine environment monitoring. Computer Communications. (IF: 3.3)

22.  Patel, H., Singh Rajput, D., Thippa Reddy, G., Iwendi, C., Kashif Bashir, A., & Jo, O. (2020). A review on classification of imbalanced data for wireless sensor networks. International Journal of Distributed Sensor Networks, 16(4), 1550147720916404. (IF: 1.6)

23.  Numan, M., Subhan, F., Khan, W. Z., Hakak, S., Haider, S., Reddy, G. T., ... & Alazab, M. (2020). A systematic review on clone node detection in static wireless sensor networks. IEEE Access, 8, 65450-65461. (IF: 3.3)

24.  Reddy, G. T., Reddy, M. P. K., Lakshmanna, K., Kaluri, R., Rajput, D. S., Srivastava, G., & Baker, T. (2020). Analysis of dimensionality reduction techniques on big data. IEEE Access, 8, 54776-54788. (IF: 3.3)

25.  Iwendi, C., Maddikunta, P. K. R., Gadekallu, T. R., Lakshmanna, K., Bashir, A. K., & Piran, M. J. (2020). A metaheuristic optimization approach for energy efficiency in the IoT networks. Software: Practice and Experience. (2.01)

26.  Gadekallu, T. R., Khare, N., Bhattacharya, S., Singh, S., Reddy Maddikunta, P. K., Ra, I. H., & Alazab, M. (2020). Early detection of diabetic retinopathy using PCA-firefly based deep learning model. Electronics, 9(2), 274. (IF: 2.3)

27.  Bhattacharya, S., Kaluri, R., Singh, S., Alazab, M., & Tariq, U. (2020). A Novel PCA-Firefly based XGBoost classification model for Intrusion Detection in Networks using GPU. Electronics, 9(2), 219. (IF: 2.3)

28.  Asghar, M. Z., Subhab, F., Ahmad, H., Khan, W. Z., Hakak, S., Gadekallu, T. R., & Alazab, M. (2020). Senti-eSystem: A Sentiment-based eSystem-using hybridized Fuzzy and Deep Neural Network for Measuring Customer Satisfaction. Software: Practice and Experience, SPE2853. (IF: 2.01)

29.  Bhattacharya, S., Somayaji, S. R. K., Gadekallu, T. R., Alazab, M., & Maddikunta, P. K. R. (2020). A review on deep learning for future smart cities. Internet Technology Letters, e187.

30.  Ch, R., Gadekallu, T. R., Abidi, M. H., & Al-Ahmari, A. (2020). Computational System to Classify Cyber Crime Offenses Using Machine Learning. Sustainability, 12(10), 4087. (IF: 3.2)

2019:

1.  Reddy, G. T., Kaluri, R., Reddy, P. K., Lakshmanna, K., Koppu, S., & Rajput, D. S. (2019, February). A novel approach for home surveillance system using IoT adaptive security. In Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur-India.

2.  Gadekallu, T., Kidwai, B., Sharma, S., Pareek, R., & Karnam, S. (2019). Application of data mining techniques in weather forecasting. In Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 162-174). IGI Global.

3.  Gadekallu, T., Soni, A., Sarkar, D., & Kuruva, L. (2019). Application of sentiment analysis in movie reviews. In Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 77-90). IGI Global.

2018:

1.  Reddy, G. T., & Khare, N. (2018). Heart disease classification system using optimised fuzzy rule based algorithm. International Journal of Biomedical Engineering and Technology, 27(3), 183-202.

2017:

1.  Reddy, G. T., Srivatsava, A., Lakshmanna, K., Kaluri, R., Karnam, S., & Nagaraja, G. (2017). Risk Prediction to Examine Health Status with Real and Synthetic Datasets. Biomedical and Pharmacology Journal, 10(4), 1897-1903.

2.  Rajput, D. S., Singh, A. P., Agarwal, Y., Reddy, P. K., & Reddy, G. T. (2017, November). Feature selection analysis for multimedia event detection. In Materials Science and Engineering Conference Series (Vol. 263, No. 4, p. 042004).

3.  Reddy, G. T., & Khare, N. (2017). An efficient system for heart disease prediction using hybrid OFBAT with rule-based fuzzy logic model. Journal of Circuits, Systems and Computers, 26(04), 1750061. (IF: 1.3)

4.  Gadekallu, T. R., & Khare, N. (2017). Cuckoo search optimized reduction and fuzzy logic classifier for heart disease and diabetes prediction. International Journal of Fuzzy System Applications (IJFSA), 6(2), 25-42.

5.  Kumar, M. E., Reddy, G. T., Sudheer, K., Reddy, M. P. K., Kaluri, R., Rajput, D. S., & Lakshmanna, K. (2017). Vehicle theft identification and intimation using gsm & iot. In IOP Conf. Ser. Sci. Eng (Vol. 263, p. 42062).

6.  Reddy, G. T., & Khare, N. (2017). Hybrid firefly-bat optimized fuzzy artificial neural network based classifier for diabetes diagnosis. International Journal of Intelligent Engineering and Systems, 10(4), 18-27.

2016:

1.  Lakshmanna, K., Kaluri, R., Reddy, G. T., Nagaraja, G., & Subramanian, D. V. (2016). An enhanced algorithm for frequent pattern mining from biological sequences. International Journal of Pharmacy and Technology, 8(2), 12776-12784.

2.  Thippa Reddy, G., & Khare, N. (2016). FFBAT-optimized rule based fuzzy logic classifier for diabetes. In International Journal of Engineering Research in Africa (Vol. 24, pp. 137-152). Trans Tech Publications Ltd.

3.  Kaluri, R., Lakshmanna, K., Reddy, T., Karnam, S., & Koppu, S. (2016). A comparative study on selecting and ranking the test cases in software testing. ARPN J Eng Appl Sci, 11, 754-757.

2014:

1.  Reddy, G. T., Sudheer, K., Rajesh, K., & Lakshmanna, K. (2014). Employing data mining on highly secured private clouds for implementing a security-asa-service framework. J. Theor. Appl. Inf. Technol, 59(2), 317-326.

2012:

1.  Karthik, P., Reddy, G. T., & Vanan, E. K. (2012). Tuning the SQL Query in order to reduce time consumption. International Journal of Computer Science Issues (IJCSI), 9(4), 418.