IEEE = 11 Elsevier = 15 MDPI = 2 Others = 16 (Publisher- wise)
Q1 = 36 Q2 = 3 Others = 5 (Rank-wise)
2026=3, 2025=5, 2024=3, 2023=10, 2022=3, 2021=6, 2020=12, before 2019= 2 (Yearwise)
First author/equal contribution as second author = 31
Corresponding author = 21
Journal Publications
44. B.B. Booth et al., Higher diagnostic accuracy of an AI model for colposcopy compared with conventional and digital colposcopic evaluation, in Journal of Lower Genital Tract Disease , 2026,SCIE Q1 4.4 SCIE Q1 1.5
43. S. K. Khare et al., Multi-modal AI approach in Depression Detection and Treatment: A Systematic Review of Last Decade, in Wiley WIRE, 2026,SCIE Q1 4.4 SCIE Q1 15
42. S. K. Khare et al., A novel cervical cancer cell classification using Convolutional Jacobian Kolmogorov Arnold Network model, in Journal of Bionic Engineering, 2026,SCIE Q1 4.4
41. Khare et al.,An explainable attention model for cervical precancer risk classification using colposcopic images, in Computer Methods and Programs in Biomedicine, 2025, SCIE Q1 4.8
40. Gaikwad et al., FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things, in IEEE Access, 2025, SCIE Q1 3.6
39. Satpute et al., Explainable Liver Segmentation and Volume Assessment Using Parallel Cropping, in MDPI Applied Sciences, 2025, SCIE Q2 2.5
38. Nadimi et al., Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway, in Nature Scientific Reports, 2025, SCIE Q1 3.8
37. Puri et al., Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection, in J Bionic Eng 22, 2025, SCIE Q1 4.3
36. S.K. Khare et al., An efficient Parkinson’s disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network, in Computers in Biology and Medicine, 2024, SCI Q1 7
35. S.K. Khare et al., A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection, in WIREs Data Mining and Knowledge Discovery, 2024, SCI Q1 11.7
34. S.K. Khare et al., ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals, in Expert Systems with Applications, 2024, SCI Q1 8.5
33. S.K. Khare et al., Adazd-Net: Automated adaptive and explainable Alzheimer’s disease detection system using EEG signals, in Knowledge-Based Systems, 2023, SCI Q1 8.8
32. S.K. Khare et al., ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals, in Physiological Measurement, 2023, SCI Q1 3.2
31. S.K. Khare et al., An Optimized and Hybrid Gating Scheme for the Suppression of Very Low Frequency Radios in Transient Electromagnetic Systems, in Geosci. Instrum. Method. Data Syst, 2023, SCI Q1 1.8
30. S.K. Khare et al., Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations, in Information Fusion, 2023, SCI Q1 18.6
29. S.K. Khare et al., Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals, in MDPI Sensors, 2023, SCI Q1 3.9
28. H. Yaacob et al., Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022), in IEEE Access, 2023, SCI Q1 3.9
27. S.K. Khare et al., Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade, in Information Fusion, 2023, SCI Q1 18.6
26. N. B. Gaikwad et al., Hardware Design and Implementation of Multi-Agent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway, in IEEE Sensors, 2023, SCI Q1 4.325
25. S. Khare et al., An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals, in Computers in Biology and Medicine, 2023, SCI Q1 9
24. S. Khare et al., SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals, in Physiological Measurement, 2023, SCI/SCIE Q1 3.2
23. S. Khare et al., An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets, in MDPI Sensors, 2022, SCIE Q1 3.847
22. S. Khare et al., VHERS: A novel Variational Mode Decomposition and Hilbert Transform based EEG rhythm separation for automatic ADHD detection, in IEEE TIM, 2022, SCI Q1 5.9
21. S. Khare, V. Bajaj, A hybrid decision support system for automatic detection of Schizophrenia using EEG signals, in Computers in Biology and Medicine, 2022, SCI Q1 9
20. S. Khare, V. Bajaj, A Self-Learned Decomposition and Classification Model for Schizophrenia Diagnosis, in Computer Methods and Programs in Biomedicine, 2021, SCI Q1 7.027
19. S. Khare, V. Bajaj and U. Acharya, PDCNNet: An automatic framework for the detection of Parkinson’s Disease using EEG signals, in IEEE Sensors Journal, 2021, SCI Q1 4.325
18. S. Sharma et al., Improving the separability of drowsiness and alert EEG signals using analytic form of wavelet transform, in Applied Acoustics, 2021, SCIE Q1 3.614
17. S. Khare et al., Detection of Parkinson’s disease using automated TQWT technique with EEG signals, in Biocybernetics and Biomedical Engineering, 2021, SCIE Q1 5.687
16. S. Khare et al., SPWVD-CNN for automated detection of Schizophrenia patients using EEG signals,” in IEEE Transactions on Instrumentation and Measurement, 2021, SCI Q1 5.9
15. S. Khare, V. Bajaj, Time-Frequency Representation And Convolutional Neural Network-Based Emotion Recognition. IEEE Trans. Neural Networks And Learning Systems, 2021, SCI Q1 14.25
14. S. Khare, V. Bajaj, Optimized Tunable Q Wavelet Transform Based Drowsiness Detection From Electroencephalogram Signals, IRBM, 2020, SCIE Q2 5.5
13. S. Khare, V. Bajaj Entropy based Drowsiness Detection using Adaptive Variational Mode Decomposition IEEE Sensors Journal, 2020, SCI Q1 4.325
12. S. Khare, V. Bajaj, and G. Sinha. Adaptive Tunable Q Wavelet Transform Based Emotion Identification, in IEEE Transactions On Instrumentation And Measurement, 2020, SCI Q1 5.9
11. S. Siuly et al., A Computerized Method For Automatic Detection Of Schizophrenia Using EEG Signals, in IEEE Trans. On Neural Systems And Rehabilitation Engineering, 2020, SCI Q1 4.528
10. S. Khare, and V. Bajaj An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition, in IEEE Sensors Journal, 2020, SCI Q1 4.325
9. S. Khare et al., Classification of emotions from EEG signals using time-order representation based on the S-transform and convolutional neural network, Electronics Letters, 2020, SCI Q2 1.314
8. Murugappan et al., Tunable Q wavelet transform based emotion classification in Parkinsons disease using Electroencephalography, in PLoS ONE, 2020, SCIE, Q1 3.752
7. Smith K Khare, V. Bajaj, A facile and flexible motor imagery classification using electroencephalogram signals, in Computer Methods & Programs in Biomedicine, 2020, SCI Q1 7.027
6. S. L. Ullo, S. Khare, V. Bajaj, and G. R. Sinha. Hybrid Computerized Method For Environmental Sound Classification, in IEEE Access, 2020, SCI Q1 3.476
5. S. Khare, and V. Bajaj, Constrained Based Tunable Q Wavelet Transform For Efficient Decomposition Of EEG Signals. in Applied Acoustics, 2020, SCIE Q1 3.614
4. V. Bajaj, S. Taran, S. Khare, and A. Sengur, Feature Extraction Method For Classification Of Alertness And Drowsiness States EEG Signals, in Applied Acoustics, 2020, SCIE Q1 3.614
3. S. Khare, Fast-track message authentication protocol for DSRC using HMAC and group keys, in Applied Acoustics, 2020, SCIE Q1 3.614
2. S. Jibhkate et al., Aodv and Olsr Based Routing Algorithm for Highway and City Scenarios, International Journal of Advanced Research in Computer and Communication Engineering, 2015.
1. S. Khare and Amutha Jeyakumar HMAC and Group Key Combination based Accelerated Message Authentication for Dedicated Short Range Communication in VANET, IJCCSE, 2015.
Book Chapters
Elsevier = 2 CRC Taylor & Francis = 2 IoP Science = 4 (Publisher- wise)
2022=2, 2021=4, 2020=2 (Year-wise)
10. S. Khare et al., Introduction to AI-driven diagnostics and human–machine interfaces, in Artificial Intelligence A tool for effective diagnostics, IoP Science, 2024
9. S. Khare et al., Introduction to smart healthcare and the role of cognitive sensors, in Cognitive Sensors, Volume 2, Applications in smart healthcare, IoP Science, 2023
8. S. Khare et al., Classification of Mental States from RDWT and Bagged Tree Classifier using EEG signals, in Artificial Intelligence-Based Brain-Computer Interface, Elsevier, 2022
7. S. Khare et al., Multi-class Sleep Stage Classification using Aritificial Intelligence based TFD and CNN, in Artificial Intelligence-Based Brain-Computer Interface, Elsevier, 2022
6. K. Gupta et al., Automatic detection of hypertension by flexible analytic wavelet transform using ECG signals, High Performance Computing for Intelligent Medical Systems, IoP Science 2021.
5. S. Khare et al., Automatic drowsiness detection based on VNCMD using electroencephalogram signals, Modeling and Analysis of Active Biopotential Signals in Healthcare Vol.1 2020.
4. S. Khare et al., Classification of schizophrenia patients through EWT using electroencephalogram signals, Modeling and Analysis of Active Biopotential Signals in Healthcare Vol.1 2020.
3. S. Taran et al., Classification of Alertness and Drowsiness States using the Complex Wavelet Transform based Approach for EEG Records, in Analysis of medical modalities for improved diagnosis in modern healthcare, CRC Taylor & Francis 2021
2. M Murugappan et al., Electroencephalogram Signals based Emotion Classification in Parkinson’s Disease using Recurrence Quantification Analysis and Nonlinear Classifiers, Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC Taylor & Francis 2021
1. S. Taran et al., Classification of MI Tasks from EEG Signals using Rational Dilation Wavelet
Transform, Modeling and Analysis of Active Biopotential Signals in Healthcare Vol.2 2021
Edited Books
IoP Science = 1, Springer = 1 (Publisher- wise)
2026 = 1, 2024=1 (Year wise)
1. S. Khare et al., Artificial Intelligence for Good. Innovation and Society, in Springer CCIS, 2026 (In press)
2. S. Khare et al., Artificial Intelligence A tool for effective diagnostics, in IoP Science, 2024
Conference Publications
IEEE = 7, EAGE = 1 (Publisher-wise)
2026 = 1, 2025 = 1, 2022=2, 2021=1, Before 2021=3 (Year-wise)
8. Abdolrahman Peimankar et al., “A Comparative Evaluation of ECG Foundation Models for Atrial Fibrillation Detection”, in IEEE EMBC (2026).
7. R Singh et al., “Physics-Informed Learning of Joint Dynamics in Articulated Robots,” in 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT).
6. P McLachlan, S Khare, D Grombacher, J Larsen, A Christiensen, JC Zamora Luria, “On The Presence of Correlated Noise in Transient Electromagnetic (TEM) Monitoring Data,” in NSG2022 28th European Meeting of Environmental and Engineering Geophysics, (EAGE 2022), pp 1-5.
5. N. Gaikwad, S. Khare, A. Keskar, “Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile,” in International Conference on the Paradigm shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, (PCEMS 2022).
4. S. Khare, and V Bajaj, “A CACDSS for automatic detection of Parkinson’s disease using EEG signals,” in IEEE Conference on Control, Automation, Power, and Signal Processing (2021).
3. Afshan Mulla et al., ”The wireless technologies for Smart Grid Communication: A Review” in 5th IEEE International Conference on Communication Systems and Network Technologies (CSNT-2015).
2. S. Khare et al., ”Advanced Message Authentication Acceleration Protocol for VANET” in IEEE International Conference on Knowledge Collaboration in Engineering (ICKCE) March 2015.
1. S. Khare and Nikhil Gaikwad, ”Automatic and Economical Rotating LED Display Control System without Dedicated Motor” in IEEE International Conference on Knowledge Collaboration in Engineering (ICKCE) March 2015