| Machine learning based diabetes classification and prediction for healthcare applications UM Butt, S Letchmunan, M Ali, FH Hassan, A Baqir, HHR Sherazi Journal of healthcare engineering 2021 (1), 9930985, 2021 | 119 | 2021 |
| Topic Modeling in Sentiment Analysis: A Systematic Review. TA Rana, YN Cheah, S Letchmunan Journal of ICT Research & Applications 10 (1), 2016 | 76 | 2016 |
| Spatio-temporal crime hotspot detection and prediction: a systematic literature review UM Butt, S Letchmunan, FH Hassan, M Ali, A Baqir, HHR Sherazi IEEE access 8, 166553-166574, 2020 | 66 | 2020 |
| The impact of digital leadership on sustainable performance: A systematic literature review TY Khaw, AP Teoh, SNA Khalid, S Letchmunan Journal of Management Development 41 (9/10), 514-534, 2022 | 43 | 2022 |
| Spatio-temporal crime predictions by leveraging artificial intelligence for citizens security in smart cities UM Butt, S Letchmunan, FH Hassan, M Ali, A Baqir, TW Koh, ... IEEE Access 9, 47516-47529, 2021 | 35 | 2021 |
| Usability measurement of Malaysian online tourism websites N Vatankhah, KT Wei, S Letchmunan International Journal of Software Engineering and Its Applications 8 (12), 1-18, 2014 | 32 | 2014 |
| Analysis of deep neural networks for human activity recognition in videos—a systematic literature review HA Ullah, S Letchmunan, MS Zia, UM Butt, FH Hassan IEEE access 9, 126366-126387, 2021 | 26 | 2021 |
| Agile project manager behavior: The taxonomy K Sutling, Z Mansor, S Widyarto, S Letchmunan, NH Arshad 2014 8th. Malaysian Software Engineering Conference (MySEC), 234-239, 2014 | 26 | 2014 |
| Deep learning-based growth prediction system: A use case of China agriculture T Khan, HHR Sherazi, M Ali, S Letchmunan, UM Butt Agronomy 11 (8), 1551, 2021 | 24 | 2021 |
| Detecting video surveillance using VGG19 convolutional neural networks UM Butt, S Letchmunan, FH Hassan, S Zia, A Baqir International Journal of Advanced Computer Science and Applications 11 (2), 2020 | 24 | 2020 |
| Enhanced fuzzy clustering for incomplete instance with evidence combination Z Liu, S Letchmunan ACM Transactions on Knowledge Discovery from Data 18 (3), 1-20, 2024 | 15 | 2024 |
| Adaptive weighted multi-view evidential clustering Z Liu, H Huang, S Letchmunan International Conference on Artificial Neural Networks, 265-277, 2023 | 13 | 2023 |
| A Systematic Literature Review on Challenges in Service Oriented Software Engineering SL Musa Midila Ahmed International Journal of Software Engineering and Its Applications 9 (5 …, 2015 | 13 | 2015 |
| Representing uncertainty and imprecision in machine learning: A survey on belief functions Z Liu, S Letchmunan Journal of King Saud University-Computer and Information Sciences, 101904, 2024 | 12 | 2024 |
| Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy UM Butt, S Letchmunan, FH Hassan, TW Koh Plos one 17 (9), e0274172, 2022 | 10 | 2022 |
| Investigating effort prediction of web-based applications using CBR on the ISBSG dataset S Letchmunan, M Roper, M Wood 14th International Conference on Evaluation and Assessment in Software …, 2010 | 6 | 2010 |
| Adaptive weighted multi-view evidential clustering with feature preference Z Liu, H Huang, S Letchmunan, M Deveci Knowledge-Based Systems 294, 111770, 2024 | 5 | 2024 |
| Self-adaptive attribute weighted neutrosophic c-means clustering for biomedical applications Z Liu, H Qiu, S Letchmunan Alexandria Engineering Journal 96, 42-57, 2024 | 5 | 2024 |
| Machine learning based diabetes classification and prediction for healthcare applications. J Healthc Eng. 2021 UM Butt, S Letchmunan, M Ali, FH Hassan, A Baqir, HHR Sherazi | 5 | |
| Ensemble usage for classification of EEG signals a review with comparison Z Unnisa, S Zia, UM Butt, S Letchmunan, S Ilyas Augmented Cognition. Theoretical and Technological Approaches: 14th …, 2020 | 4 | 2020 |
