| A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity M Safaei, EA Sundararajan, M Driss, W Boulila, A Shapi'i Computers in biology and medicine 136, 104754, 2021 | 468 | 2021 |
| Big data and IoT-based applications in smart environments: A systematic review Y Hajjaji, W Boulila, IR Farah, I Romdhani, A Hussain Computer Science Review 39, 100318, 2021 | 377 | 2021 |
| Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions SB Atitallah, M Driss, W Boulila, HB Ghézala Computer Science Review 38, 100303, 2020 | 306 | 2020 |
| A lightweight chaos-based medical image encryption scheme using random shuffling and XOR operations F Masood, M Driss, W Boulila, J Ahmad, SU Rehman, SU Jan, A Qayyum, ... Wireless personal communications 127 (2), 1405-1432, 2022 | 127 | 2022 |
| A novel CNN-LSTM-based approach to predict urban expansion W Boulila, H Ghandorh, MA Khan, F Ahmed, J Ahmad Ecological Informatics 64, 101325, 2021 | 126 | 2021 |
| RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification W Boulila, M Sellami, M Driss, M Al-Sarem, M Safaei, FA Ghaleb Computers and Electronics in Agriculture 182, 106014, 2021 | 101 | 2021 |
| Chaos-based confusion and diffusion of image pixels using dynamic substitution A Qayyum, J Ahmad, W Boulila, S Rubaiee, F Masood, F Khan, ... IEEE Access 8, 140876-140895, 2020 | 101 | 2020 |
| Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions S Latif, M Driss, W Boulila, ZE Huma, SS Jamal, Z Idrees, J Ahmad Sensors 21 (22), 7518, 2021 | 96 | 2021 |
| Exploring ChatGPT Capabilities and Limitations: A Survey A Koubaa, W Boulila, L Ghouti, A Alzahem, S Latif IEEE Access, 2023 | 92* | 2023 |
| An efficient approach based on privacy-preserving deep learning for satellite image classification M Alkhelaiwi, W Boulila, J Ahmad, A Koubaa, M Driss Remote Sensing 13 (11), 2221, 2021 | 89 | 2021 |
| Misbehavior-aware on-demand collaborative intrusion detection system using distributed ensemble learning for VANET F A. Ghaleb, F Saeed, M Al-Sarem, B Ali Saleh Al-rimy, W Boulila, ... Electronics 9 (9), 1411, 2020 | 88 | 2020 |
| DNA and plaintext dependent chaotic visual selective image encryption JS Khan, W Boulila, J Ahmad, S Rubaiee, AU Rehman, R Alroobaea, ... IEEE Access 8, 159732-159744, 2020 | 85 | 2020 |
| A hybrid deep learning model for brain tumour classification M Rasool, NA Ismail, W Boulila, A Ammar, H Samma, WMS Yafooz, ... Entropy 24 (6), 799, 2022 | 84 | 2022 |
| Deep learning-based rumor detection on microblogging platforms: a systematic review M Al-Sarem, W Boulila, M Al-Harby, J Qadir, A Alsaeedi IEEE access 7, 152788-152812, 2019 | 71 | 2019 |
| A data mining based approach to predict spatiotemporal changes in satellite images W Boulila, IR Farah, KS Ettabaa, B Solaiman, HB Ghézala International Journal of Applied Earth Observation and Geoinformation 13 (3 …, 2011 | 71 | 2011 |
| Voting classifier-based intrusion detection for iot networks MA Khan, MA Khan Khattk, S Latif, AA Shah, M Ur Rehman, W Boulila, ... Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, 313-328, 2022 | 67 | 2022 |
| A novel hybrid deep learning model for detecting COVID-19-related rumors on social media based on LSTM and concatenated parallel CNNs M Al-Sarem, A Alsaeedi, F Saeed, W Boulila, O AmeerBakhsh Applied Sciences 11 (17), 7940, 2021 | 67 | 2021 |
| A novel chaos-based privacy-preserving deep learning model for cancer diagnosis MU Rehman, A Shafique, YY Ghadi, W Boulila, SU Jan, TR Gadekallu, ... IEEE Transactions on Network Science and Engineering 9 (6), 4322-4337, 2022 | 63 | 2022 |
| Semantic segmentation and edge detection—Approach to road detection in very high resolution satellite images H Ghandorh, W Boulila, S Masood, A Koubaa, F Ahmed, J Ahmad Remote Sensing 14 (3), 613, 2022 | 62 | 2022 |
| Weight initialization techniques for deep learning algorithms in remote sensing: Recent trends and future perspectives W Boulila, M Driss, E Alshanqiti, M Al-Sarem, F Saeed, M Krichen Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, 477-484, 2022 | 62 | 2022 |
