| Machine learning in medical applications: A review of state-of-the-art methods M Shehab, L Abualigah, Q Shambour, MA Abu-Hashem, MKY Shambour, ... Computers in Biology and Medicine 145, 105458, 2022 | 607 | 2022 |
| Salp swarm algorithm: a comprehensive survey L Abualigah, M Shehab, M Alshinwan, H Alabool Neural Computing and Applications 32 (15), 11195-11215, 2020 | 467 | 2020 |
| Moth–flame optimization algorithm: variants and applications M Shehab, L Abualigah, H Al Hamad, H Alabool, M Alshinwan, ... Neural Computing and Applications 32 (14), 9859-9884, 2020 | 379 | 2020 |
| A survey on applications and variants of the cuckoo search algorithm M Shehab, AT Khader, MA Al-Betar Applied soft computing 61, 1041-1059, 2017 | 364 | 2017 |
| Ant lion optimizer: a comprehensive survey of its variants and applications L Abualigah, M Shehab, M Alshinwan, S Mirjalili, MA Elaziz Archives of Computational Methods in Engineering 28 (3), 1397-1416, 2021 | 238 | 2021 |
| Sentiment analysis in healthcare: a brief review L Abualigah, HE Alfar, M Shehab, AMA Hussein Recent advances in NLP: the case of Arabic language, 129-141, 2019 | 153 | 2019 |
| Gradient-based optimizer (GBO): a review, theory, variants, and applications MS Daoud, M Shehab, HM Al-Mimi, L Abualigah, RA Zitar, ... Archives of Computational Methods in Engineering 30 (4), 2431-2449, 2023 | 139 | 2023 |
| Harris hawks optimization algorithm: variants and applications M Shehab, I Mashal, Z Momani, MKY Shambour, A AL-Badareen, ... Archives of Computational Methods in Engineering 29 (7), 5579-5603, 2022 | 138 | 2022 |
| Text summarization: a brief review L Abualigah, MQ Bashabsheh, H Alabool, M Shehab Recent Advances in NLP: the case of Arabic language, 1-15, 2019 | 130 | 2019 |
| A comprehensive review of bat inspired algorithm: variants, applications, and hybridization M Shehab, MA Abu-Hashem, MKY Shambour, AI Alsalibi, OA Alomari, ... Archives of Computational Methods in Engineering 30 (2), 765, 2022 | 111 | 2022 |
| Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization. M Shehab, AT Khader, OA Alomari, M Laouchedi Journal of supercomputing 75 (5), 2019 | 95 | 2019 |
| Enhanced a hybrid moth-flame optimization algorithm using new selection schemes M Shehab, H Alshawabkah, L Abualigah, N AL-Madi Engineering with Computers 37 (4), 2931-2956, 2021 | 91 | 2021 |
| Dragonfly algorithm: a comprehensive survey of its results, variants, and applications M Alshinwan, L Abualigah, M Shehab, MA Elaziz, AM Khasawneh, ... Multimedia Tools and Applications 80 (10), 14979-15016, 2021 | 90 | 2021 |
| Modified Cuckoo Search Algorithm Using A New Selection Scheme for Unconstrained Optimization Problems M Shehab, AT Khader Current Medical Imaging Reviews 14, 2018 | 73 | 2018 |
| A hybrid method based on cuckoo search algorithm for global optimization problems M Shehab, AT Khader, M Laouchedi Journal of Information and Communication Technology 17 (3), 469-491, 2018 | 65 | 2018 |
| Hybridizing cuckoo search algorithm with hill climbing for numerical optimization problems M Shehab, AT Khader, MA Al-Betar, LM Abualigah 2017 8th International conference on information technology (ICIT), 36-43, 2017 | 64 | 2017 |
| Black hole algorithm: A comprehensive survey L Abualigah, MA Elaziz, P Sumari, AM Khasawneh, M Alshinwan, ... Applied Intelligence 52 (10), 11892-11915, 2022 | 55 | 2022 |
| (AIAM2019) artificial intelligence in software engineering and inverse M Shehab, L Abualigah, MI Jarrah, OA Alomari, MS Daoud International Journal of Computer Integrated Manufacturing 33 (10-11), 1129-1144, 2020 | 54 | 2020 |
| A parallel hybrid krill herd algorithm for feature selection L Abualigah, B Alsalibi, M Shehab, M Alshinwan, AM Khasawneh, ... International Journal of Machine Learning and Cybernetics 12 (3), 783-806, 2021 | 53 | 2021 |
| Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications L Abualigah, M Shehab, A Diabat, A Abraham Engineering with Computers 38 (2), 1149-1175, 2022 | 47 | 2022 |