· Al-Samarraie, H., Sarsam, S. M., Ibrahim Alzahrani, A., Chatterjee, A., & Swinnerton, B. J. (2024). Gender perceptions of generative AI in higher education. Journal of Applied Research in Higher Education.
· Sarsam, S. M., Alzahrani, A. I., & Al-Samarraie, H. (2024). What topics and emotions expressed by glaucoma patients? A sentiment analysis perspective. Social Network Analysis and Mining, 14(1), 1-11.
· Hong, K. C., Shibghatullah, A. S., Ling, T. C., & Sarsam, S. M. (2024). Generative AI-Powered Predictive Analytics Model: Leveraging Synthetic Datasets to Determine ERP Adoption Success Through Critical Success Factors. International Journal of Advanced Computer Science and Applications (ijacsa), 15(5), 469-482.
· Hong, K. C., Shibghatullah, A. S., Ling, T. C., Sarsam, S. M., & Qazi, S. A. (2023). Bridging Web 4.0 and Education 4.0 for Next Generation User Training in ERP Adoption. Journal of Theoretical and Applied Information Technology, 101(22).
· Sarsam, S. M., Alias, A. A., Mon, C. S., Al-Samarraie, H., & Al-Hatem, A. I. (2023, November). Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis. In 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE) (pp. 1-6). IEEE.
· Sarsam, S. M., Alzahrani, A. I., & Al-Samarraie, H. (2023). Early-stage pregnancy recognition on microblogs: Machine learning and lexicon-based approaches. Heliyon, 9(9).
· Al-Samarraie, H., Sarsam, S. M., & Alzahrani, A. I. (2023). Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach. User Modeling and User-Adapted Interaction, 1-21.
· Al-Samarraie, H., Sarsam, S. M., & Alzahrani, A. I. (2023). Haptic technology in society: A sentiment analysis of public engagement. Computers in Human Behavior, 147, 107862.
· Bahr, W., Kamal, M. M., Nezhad, A. J., & Sarsam, S. M. (2023, September). Understanding the role of Virtual Reality and Metaverse platform in designing resilient and sustainable supply chain networks. In Annual Logistics Research Network (LRN) Conference.
· Alzahrani, A. I., Sarsam, S. M., Al-Samarraie, H., & Alblehai, F. (2023). Exploring the sentimental features of rumor messages and investors' intentions to invest. International Review of Economics & Finance, 87, 433-444.
· Sarsam, S. M., Al-Samarraie, H., Alzahrani, A. I., Mon, C. S., & Shibghatullah, A. S. (2022). Characterizing Suicide Ideation by Using Mental Disorder Features on Microblogs: A Machine Learning Perspective. International Journal of Mental Health and Addiction, 1-14.
· Sarsam, S. M., Al-Samarraie, H., Alzahrani, A. I., & Shibghatullah, A. S. (2022). A non-invasive mechanism for early disease recognition on Twitter: The case of anemia. Artificial Intelligence in Medicine, 102428.
· Al-Samarraie, H., Sarsam, S. M., Lonsdale, M., & Alzahrani, A. I. (2022). Emotional Intelligence and Individual Visual Preferences: A Predictive Machine Learning Approach. International Journal of Human–Computer Interaction, 1-9.
Pepin, N., Shibghatullah, A. S., Subaramaniam, K., Sulaiman, R. A., Abas, Z. A., & Sarsam, S. M. (2022). A Reusable Product Line Asset in Smart Mobile Application: A Systematic Literature Review. International Journal of Advanced Computer Science and Applications, 13(9).
· Sarsam, S. M., & Al-Samarraie, H. (2021). A lexicon-based method for detecting eye diseases on microblogs. Applied Artificial Intelligence, 1-12.
· Sarsam, S. M., & Al-Samarraie, H. (2021). Early-stage detection of eye diseases on microblogs: glaucoma recognition. International Journal of Information Technology, 1-10.
· Sarsam, S. M., Al-Samarraie, H., Bahar, N., Shibghatullah, A. S., Eldenfria, A., & Al-Sa’Di, A. (2021, July). Detecting Real-Time Correlated Simultaneous Events in Microblogs: The Case of Men’s Olympic Football. In International Conference on Human-Computer Interaction (pp. 368-377). Springer, Cham.
· Sarsam, S. M., Al-Samarraie, H., & Alzahrani, A. I. (2021). Influence of personality traits on users’ viewing behaviour. Journal of Information Science, 0165551521998051.
· Sarsam, S.M., Al-Samarraie, H., Alzahrani, A.I., Alnumay, W., & Smith, A.P. (2021). A lexicon-based approach to detecting suicide-related messages on Twitter. Biomedical Signal Processing and Control, 65, 102355.
· Sarsam, S. M., Al-Samarraie, H., & Al-Sadi, A. (2020). Disease discovery-based emotion lexicon: a heuristic approach to characterise sicknesses in microblogs. Network Modeling Analysis in Health Informatics and Bioinformatics, 9(1), 1-10.
· Sarsam, S.M., Al-Samarraie, H., Ismail, N., Zaqout, F., & Wright, B. (2020). A real-time biosurveillance mechanism for early-stage disease detection from microblogs: A case study of interconnection between emotional and climatic factors related to migraine disease. Network Modeling Analysis in Health Informatics and Bioinformatics, 9(1), 32. doi: 10.1007/s13721-020-00239-6.
· Sarsam, S. M., Al-Samarraie, H., Alzahrani, A. I., & Wright, B. (2020). Sarcasm detection using machine learning algorithms in Twitter: A systematic review. International Journal of Market Research, 1470785320921779.
· Alalwan, N., Cheng, L., Al-Samarraie, H., Yousef, R., Alzahrani, A. I., & Sarsam, S. M. (2020). Challenges and Prospects of Virtual Reality and Augmented Reality Utilization among Primary School Teachers: A Developing Country Perspective. Studies in Educational Evaluation, 66, 100876.
· Al-Samarraie, H., Sarsam, S. M., Alzahrani, A. I., & Alalwan, N. (2019). Reading text with and without diacritics alters brain activation: The case of Arabic. Current Psychology, 1-10.
· Sarsam, S. M. (2019). Reinforcing the Decision-making Process in Chemometrics: Feature Selection and Algorithm Optimization. In Proceedings of the 2019 8th International Conference on Software and Computer Applications (pp. 11-16). ACM.
· Sarsam, S. M., Al-Samarraie, H., & Omar, B. (2019, February). Geo-spatial-based Emotions: A Mechanism for Event Detection in Microblogs. In Proceedings of the 2019 8th International Conference on Software and Computer Applications (pp. 1-5). ACM.
· Sarsam, S. M., & Al-Samarraie, H. (2018). Towards incorporating personality into the design of an interface: a method for facilitating users’ interaction with the display. User Modeling and User-Adapted Interaction.
· Sarsam, S. M. & Al-Samarraie, H. (2018). A first look at the effectiveness of personality dimensions in promoting users’ satisfaction with the system. SAGE Open, 8(2), 2158244018769125.
· Al-Samarraie, H., Sarsam, S. M., Alzahrani, A. I., & Alalwan, N (2018). Personality and individual differences: the potential of using preferences for visual stimuli to predict the Big Five traits. Cognition, Technology & Work, 1-13.
· Al-Samarraie, H., Sarsam, S. M., & Umar, I. N. (2017). Visual perception of multi-column-layout text: insight from repeated and non-repeated reading. Behaviour & Information Technology, 36(1), 75-84.
· Al-Samarraie, H., Sarsam, S. M., & Guesgen, H. (2016). Predicting user preferences of environment design: a perceptual mechanism of user interface customisation. Behaviour & Information Technology, 1-10.
· Al-Samarraie, H., Sarsam, S. M., Alzahrani, A. I., Alalwan, N., & Masood, M. (2016). The role of personality characteristics in informing our preference for visual presentation: An eye movement study. Journal of Ambient Intelligence and Smart Environments, 8(6), 709-719.