a) Web of Science Journals (WoS)

  1. Rajat Mehrrotraa, M. A. Ansari, Rajeev Agrawal, Pragati Tripathi, Md Belal Bin Heyat, Mohammed Al-Sarem, Abdullah Yahya Mohammed Muaad, Wamda Abdelrahman Elhag Nagmeldin, Abdelzahir Abdelmaboud and Faisal Saeed “Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography”, IEEE Open Access, 2022, vol. 10, pp. 85442-85458. doi: 10.1109/ACCESS.2022.3194152.

  2. Heyat, M.B.B.; Akhtar, F.; Abbas, S.J.; Al-Sarem, M.; Alqarafi, A.; Stalin, A.; Abbasi, R.; Muaad, A.Y.; Lai, D.; Wu, K. Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System using Machine Learning Models on Single Lead Electrocardiogram Signal. Biosensors 2022, 12, 6:427. https://doi.org/10.3390/bios12060427

  3. D. Singh, D. Prashar, J. Singla, A. A. Khan, M. Al-Sarem et al., "Intelligent medical diagnostic system for hepatitis b," Computers, Materials & Continua, vol. 73, no.3, pp. 6047–6068, 2022. DOI:10.32604/cmc.2022.031255

  4. Malik Muhammad Ali Shahid, Shahida Sulaiman, Mohammed Al-Sarem, Aqeel Ur Rahman, Salman Iqbal, Rab Nawaz Bashir, Arfat Ahmad Khan, Momen M. Alrawi, Rashiq R Marie and Settawit Poochaya. Measuring Reliability of a Web Portal Based on Testing Profile", CMC-Computers, Materials & Continua, 2022.

  5. Mohammed Hadwan, Mohammed Al-Sarem, Faisal Saeed, and Mohammed A. Al-Hagery, An Improved Sentiment Classification Approach for 2 Measuring User Satisfaction Toward Governmental Services Mobile Apps Using an Ensemble Technique, Applied Science, 2022, 12, 5547. https://doi.org/10.3390/app12115547

  6. Algarni, M.; Saeed, F.; Al-Hadhrami, T.; Ghabban, F.; Al-Sarem, M. Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM). Sensors 2022, 22, 2976. https://doi.org/10.3390/s22082976.

  7. M. Hadwan, M. A. Al-Hagery, M. Al-Sarem and F. Saeed, "Arabic sentiment analysis of users’ opinions of governmental mobile applications," Computers, Materials & Continua, vol. 72, no.3, pp. 4675–4689, 2022. https:// doi:10.32604/cmc.2022.027311

  8. Almurashi, H.; Bouaziz, R.; Alharthi, W.; Al-Sarem, M.; Hadwan, M.; Kammoun, S. Augmented Reality, Serious Games and Picture Exchange Communication System for People with ASD: Systematic Literature Review and Future Directions. Sensors 2022, 22, 1250. https://doi.org/10.3390/s22031250

  9. Albakri, G.; Bouaziz, R.; Alharthi, W.; Kammoun, S.; Al-Sarem, M.; Saeed, F.; Hadwan, M. Phobia Exposure Therapy Using Virtual and Augmented Reality: A Systematic Review. Appl. Sci. 2022, 12, 1672. https://doi.org/10.3390/app12031672.

  10. [1] El Gannour, O.; Hamida, S.; Cherradi, B.; Al-Sarem, M.; Raihani, A.; Saeed, F.; Hadwan, M. Concatenation of Pre-Trained Convolutional Neural Networks for Enhanced Coronavirus Screening Using Transfer Learning Technique. Electronics 2022, 11, 103. https://doi.org/10.3390/electronics11010103 .

  11. Al-Sarem, M.; Saeed, F.; Alkhammash, E.H.; Alghamdi, N.S. An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection. Sensors 2022, 22, 185. https://doi.org/10.3390/s22010185

  12. Boulila, W.; Shah, S.A.; Ahmad, J.; Driss, M.; Ghandorh, H.; Alsaeedi, A.; Al-Sarem, M.; Saeed, F. Noninvasive Detection of Respiratory Disorder Due to COVID-19 at the Early Stages in Saudi Arabia. Electronics 2021, 10, 2701. https://doi.org/10.3390/electronics10212701.

  13. Faisal Saeed, Mohammad Al-Sarem, Muhannad Al-Mohaimeed, Abdelhamid Emara, Wadii Boulila, Mohammed Alasli and Fahad Ghabban. “Enhancing the Prediction of Parkinson’s Disease using Machine Learning with Feature Selection Methods.” Computers, Materials & Continua, 2021. https://doi:10.32604/cmc.2022.023124

  14. Ramadan, R.A.; Emara, A.-H.; AL-Sarem, M.; Elhamahmy, M. Internet of Drones Intrusion Detection Using Deep Learning. Electronics 2021, 10, 2633. https://doi.org/10.3390/electronics10212633.

  15. Al-Mekhlafi, Z. G., Mohammed, B. A., Al-Sarem, M., Saeed, F., Al-Hadhrami, T. et al. (2022). Phishing Websites Detection by Using Optimized Stacking Ensemble Model. Computer Systems Science and Engineering, 41(1), 109–125. https://doi:10.32604/csse.2022.020414

  16. Al-Sarem, M.; Saeed, F.; Al-Mekhlafi, Z.G.; Mohammed, B.A.; Hadwan, M.; Al-Hadhrami, T.; Alshammari, M.T.; Alreshidi, A.; Alshammari, T.S. “An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks,”. Applied Science. 2021, 11, 9487. https://doi.org/10.3390/app11209487.

  17. Moujahid, H., Cherradi, B., Al-Sarem, M., Bahatti1, L., Eljialy, A. E. M., Alsaeedi, A. and Saeed, F. “Prediction and Visual Explanation of COVID-19 Disease on X-Ray Images using Convolutional Neural Network and Grad-Cam Technique,”. Intelligent Automation & Soft Computing, 2021. 10.32604/iasc.2022.022179 (Impact Factor 1.647).

  18. Qasem, S. N., Al-Sarem, M., Saeed, F. (2022). An Ensemble Learning Based Approach for Detecting and Tracking COVID19 Rumors. CMC-Computers, Materials & Continua, 70(1), 1721–1747. doi:10.32604/cmc.2022.018972 (Impact Factor 5.0258).

  19. Al-Sarem, M., Alsaeedi, A., Saeed, F., Boulila, W., AmeerBakhsh, O. “A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs”. Appl. Sci. 2021, 11, 7940. https://doi.org/ 10.3390/app11177940.

  20. Al-Sarem, M., Saeed, F., Al-Mekhlafi, Z.G., Mohammed, B.A., Al-Hadhrami, T., Alshammari, M.T., Alreshidi, A., Alshammari, T.S. “An Optimized Stacking Ensemble Model for Phishing Websites Detection,”. Electronics, 2021, 10, 1285. DOI: https://doi.org/10.3390/electronics10111285 (Impact Factor 2.458

  21. Boulila, W., Sellami, M., Driss, M., Al-Sarem, M. and Safaei, M. “RS-DCNN: A Novel Distributed Convolutional-Neural-Networks based Approach for Big Remote-Sensing Image Classification,”. Computers and Electronics in Agriculture, 2020, 182, 106014. DOI: https://doi.org/10.1016/j.compag.2021.106014 (Impact Factor 3.858).

  22. Al-Sarem, M. and Alsaeedi, A. “Detecting Rumors on Social Media Based on a CNN Deep Learning Technique”. Arabian Journal for Science and Engineering, 2020, 45(12), 10813-10844. DOI: https://doi.org/10.1007/s13369-020-04839-2. (Impact Factor: 1.711).

  23. Ghaleb, F. A., Saeed, F., Al-Sarem, M., Al-rimy, A. S., Boulila, W., Eljialy, A.E.M., Aloufi, K., Alazab, M. “Misbehavior-Aware On-Demand Collaborative Intrusion Detection System Using Distributed Ensemble Learning for VANET,”. Electronics, 2020, 9, 1411.DOI: https://doi.org/10.3390/electronics9091411 (Impact Factor: 2.412).

  24. Driss, M., Aljehani, A., Boulila, W., Ghandorh H. and Al-Sarem, M. " Servicing Your Requirements: An FCA and RCA-Driven Approach for Semantic Web Services Composition," IEEE Access, 2020, 8, 59326-59339. DOI: 10.1109/ACCESS.2020.2982592. (Impact Factor:4.098).

  25. Saeed, F., Yafooz, W. M.S., Al-Sarem, M. and Hezzam, E. A. “Detecting Health-Related Rumors on Twitter using Machine Learning Methods” International Journal of Advanced Computer Science and Applications(IJACSA), 11(8), 2020. DOI: http://dx.doi.org/10.14569/IJACSA.2020.0110842.

  26. Al-Sarem, M., Emara, A.-H. and Abdel Wahab, A. “Performance of Authorship Attribution Classifiers with Short Texts: Application of Religious Arabic Fatwas,”. International Journal of Data Mining, Modelling and Management (IJDMMM), 2020, 12(3),350-364. DOI: 10.1504/IJDMMM.2020.108719 (SJR: 1.21).

  27. Al-Sarem, M., Saeed, F., Alsaeedi, A., Boulila, W. and Al-Hadhrami, T. " Ensemble Methods for Instance-based Arabic Language Authorship Attribution," IEEE Access, 2019, 7, 152788-152812. DOI: 10.1109/ACCESS.2020.2964952 (Impact Factor: 4.098).

  28. Al-Sarem, M., Boulila, W., Al-Harby, M., Qadir J. and Alsaeedi, A. "Deep Learning-Based Rumor Detection on Microblogging Platforms: A Systematic Review," IEEE Access, 2019, 7, 152788-152812. DOI: 10.1109/ACCESS.2019.2947855 (Impact Factor: 4.098).

  29. Erris, M., Rachdi, M., Al-Sarem, M. and Emara A.-H. “Towards a Proactive System for Predicting Service Quality Degradations in Next Generation of Networks based on Time Series”. International Journal of Advanced Computer Science and Applications (IJACSA), 2019, 10(9). DOI: 10.14569/IJACSA.2019.0100978 (Impact Factor: 1.324).

  30. Bahassine, S., Madani, A., Al-Sarem, M. and Kissi, M. “Feature selection using an improved Chi-square for Arabic text classification,”. Journal of King Saud University Computer and Information Sciences, 2018, DOI: https://doi.org/10.1016/j.jksuci.2018.05.010 (Impact Factor: 3.12)

b) Scopus Journals

  1. Al-Sarem, M., Saeed, F., Al-Harby, M. and Hezzam, E. H. “Machine Learning Classifiers with Preprocessing Techniques for Rumor Detection on Social Media: An Empirical Study”, International Journal of Cloud Computing, vol. 11, no. 4, pp.330-344, 2022. (Impact Factor: 2.5)

  2. Al-Sarem, M. and Emara. A.-H. "The Effect of Training Set Size in Authorship Attribution: Application on Short Arabic Texts", International Journal of Electrical and Computer Engineering (IJECE), 2019, 9 (1), 652-659. DOI: http://doi.org/10.11591/ijece.v9i1.pp652-659 (Scopus Q2, SJR: 1.63)

  3. Al-Sarem, M. "Solving Course Selection Problem by a Combination of Correlation Analysis and Analytic Hierarchy Process", International Journal of Electrical and Computer Engineering (IJECE), 2017, 7(6), 3536-3551. DOI: http://doi.org/10.11591/ijece.v7i6.pp3536-3551 (Q2, SJR:1.63).

  4. Al-Sarem, M., Ramdani, M. and Bellafkih, M. “Leveraging Historical Assessment Records for Constructing Concept Maps”, International Review on Computers and Software (I. RE.CO.S.), 2012, 6, 6(1), 994-1000. (Impact Factor: 0.578).

  5. Al-Sarem, M. "Building a Decision Tree Model for Academic Advising Affairs Based on the Algorithm C4. 5", IJCSI, 2015, 12(5), 33-37. Link to article: http://www.ijcsi.org/papers/IJCSI-12-5-33-37.pdf

  6. Al-Sarem, M. "Predictive and Statistical Analyses for Academic Advisory Support: Case Study", International Journal of Computer Science & Information Technology (IJCSIT), 2015, 7 (5). Link to article: http://airccse.org/journal/ijcsit2015_curr.html#oct.

  7. Al-Sarem M., Bellafkih, M. and Ramdani, M. "Improving Learning Performance by Providing Intellectual Suggestions". International Journal of Computer Applications, 2011, 31(5), 38-42. Link to article: http://www.ijcaonline.org/archives/volume31/number5/3822-5301.

  8. Al-Sarem, M., Bellafkih, M. and Ramdani, M. “Mining Concepts' Relationship Based on Numeric Grades”, IJCSI, 2011, 8 (3), 136-142. Link to article: http://ijcsi.org/papers/IJCSI-8-4-2-136-142.pdf

  9. Al-Sarem, M., Bellafkih, M. and Ramdani, M. “An Approach for Mining Concepts’ Relationships Based on Historical Assessment Records”. Procedia Engineering, 2011, 15, 3245-3249. Link to article: http://www.sciencedirect.com/science/article/pii/S1877705811021102.

  10. Al Sarem, M., Alsaeedi, A. and Saeed, F. “A Deep Learning-based Artificial Neural Network Method for Instance-based Arabic Language Authorship Attribution”. Submitted to: International Journal of Advances in Soft Computing and its Application.

  11. Labjar, H., Al-Sarem, M. and Kissi, M. “Feature Selection Using a Machine Learning Approach in QSAR Anti-HIV Prediction for Drug Discovery,”. Submitted to: International Journal of Advances in Soft Computing and its Application.