| Knowledge management and measurement: a critical review MAF Ragab, A Arisha Journal of knowledge management 17 (6), 873-901, 2013 | 510 | 2013 |
| Time-series representation learning via temporal and contextual contrasting E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan arXiv preprint arXiv:2106.14112, 2021 | 321 | 2021 |
| Research methodology in business: A starter’s guide MAF Ragab, A Arisha Technological University Dublin, 2018 | 246 | 2018 |
| The future is big graphs: a community view on graph processing systems S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ... Communications of the ACM 64 (9), 62-71, 2021 | 154 | 2021 |
| A scientometric analysis of Knowledge Management Research and Practice literature: 2003–2015 A Ramy, J Floody, MAF Ragab, A Arisha Knowledge Management Research & Practice 16 (1), 66-77, 2018 | 119 | 2018 |
| Contrastive adversarial domain adaptation for machine remaining useful life prediction M Ragab, Z Chen, M Wu, CS Foo, CK Kwoh, R Yan, X Li IEEE Transactions on Industrial Informatics 17 (8), 5239-5249, 2020 | 89 | 2020 |
| A comparison of reproductive traits of four maternal lines of rabbits selected for litter size at weaning and founded on different criteria M Ragab, M Baselga Livestock Science 136 (2-3), 201-206, 2011 | 63 | 2011 |
| The effectiveness of knowledge management in the public sector PJ Mc Evoy, MAF Ragab, A Arisha Knowledge Management Research & Practice 17 (1), 39-51, 2019 | 60 | 2019 |
| Adversarial multiple-target domain adaptation for fault classification M Ragab, Z Chen, M Wu, H Li, CK Kwoh, R Yan, X Li IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 56 | 2020 |
| Conditional contrastive domain generalization for fault diagnosis M Ragab, Z Chen, W Zhang, E Eldele, M Wu, CK Kwoh, X Li IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 50 | 2022 |
| Attention-based sequence to sequence model for machine remaining useful life prediction M Ragab, Z Chen, M Wu, CK Kwoh, R Yan, X Li Neurocomputing 466, 58-68, 2021 | 41 | 2021 |
| Adatime: A benchmarking suite for domain adaptation on time series data M Ragab, E Eldele, WL Tan, CS Foo, Z Chen, M Wu, CK Kwoh, X Li ACM Transactions on Knowledge Discovery from Data 17 (8), 1-18, 2023 | 37 | 2023 |
| Review on the KM applications in public organisations P McEvoy, MAF Ragab, A Arisha Electronic Journal of Knowledge Management 15 (1), pp37‑48-pp37‑48, 2017 | 37 | 2017 |
| Self-supervised autoregressive domain adaptation for time series data M Ragab, E Eldele, Z Chen, M Wu, CK Kwoh, X Li IEEE Transactions on Neural Networks and Learning Systems, 2022 | 35 | 2022 |
| ADAST: Attentive cross-domain EEG-based sleep staging framework with iterative self-training E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan IEEE Transactions on Emerging Topics in Computational Intelligence 7 (1 …, 2022 | 33 | 2022 |
| An investigation in the methodological approaches used in doctoral business research in Ireland P Mc Manus, S Mulhall, M Ragab, A Arisha ECRM 2017 16th European Conference on Research Methods in Business and …, 2017 | 33 | 2017 |
| Effective population size and inbreeding depression on litter size in rabbits. A case study M Ragab, JP Sánchez, M Baselga Journal of Animal Breeding and Genetics 132 (1), 68-73, 2015 | 32 | 2015 |
| Review of factors influencing employees’ willingness to share knowledge P Mc Manus, M Ragab, A Arisha, S Mulhall Technological University Dublin, 2016 | 31 | 2016 |
| Self-supervised contrastive representation learning for semi-supervised time-series classification E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 27 | 2023 |
| Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks Q Xu, Z Chen, M Ragab, C Wang, M Wu, X Li Neurocomputing 485, 242-251, 2022 | 26 | 2022 |
