| Towards deep learning prospects: insights for social media analytics MK Hayat, A Daud, AA Alshdadi, A Banjar, RA Abbasi, Y Bao, H Dawood IEEE access 7, 36958-36979, 2019 | 68 | 2019 |
| Finding rising stars in bibliometric networks A Daud, M Song, MK Hayat, T Amjad, RA Abbasi, H Dawood, A Ghani Scientometrics 124, 633-661, 2020 | 17 | 2020 |
| Anomaly Detection in Heterogeneous Bibliographic Information Networks using Co-Evolution Pattern Mining MK Hayat, A Daud Scientometrics, 2017 | 13 | 2017 |
| OpenRank–a novel approach to rank universities using objective and publicly verifiable data sources MS Qureshi, A Daud, MK Hayat, MT Afzal Library Hi Tech 41 (2), 474-500, 2023 | 7 | 2023 |
| Group anomaly detection: past notions, present insights, and future prospects A Feroze, A Daud, T Amjad, MK Hayat SN Computer Science 2, 1-27, 2021 | 7 | 2021 |
| Measuring the impact of co-author count on citation count of research publications A Daud, MK Hayat, AA Alshdadi, A Banjar, WM Alharbi COLLNET Journal of Scientometrics and Information Management 16 (1), 35-48, 2022 | 4 | 2022 |
| Measuring the impact of COVID-19 surveillance variables over the international oil market A Alshdadi, MK Hayat, A Daud, A Banjar, H Dawood International Journal of Advanced and Applied Sciences 9 (1), 27-33, 2022 | 4 | 2022 |
| Coronavirus pandemic (COVID-19): A survey of analysis, modeling and recommendations T Amjad, A Daud, MK Hayat, MT Afzal, H Dawood Preprints, 2020 | 3 | 2020 |
| A deep co-evolution architecture for anomaly detection in dynamic networks MK Hayat, A Daud, A Banjar, R Alharbey, A Bukhari Multimedia Tools and Applications 83 (14), 40489-40508, 2024 | 2 | 2024 |
| Indexing important drugs from medical literature R Alharbey, JI Kim, A Daud, M Song, AA Alshdadi, MK Hayat Scientometrics 127 (5), 2661-2681, 2022 | 2 | 2022 |
| Heading Towards Sub-Discipline Rankings for Higher Education Institutions MS Qureshi, A Daud, MK Hayat, M Song, Y Park IEEE Transactions on Computational Social Systems 10 (6), 3536-3555, 2022 | 1 | 2022 |
| Identifying Rising Stars via Supervised Machine Learning A Daud, N ul Islam, X Li, I Razzak, MK Hayat IEEE Transactions on Computational Social Systems 10 (5), 2374-2384, 2022 | 1 | 2022 |
| Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification MK Hayat, S Xue, J Yang 2023 IEEE International Conference on Data Mining (ICDM), 140-149, 2023 | | 2023 |
| Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables MK Hayat, A Daud, RA Abbasi, T Amjad, XJ Zhang | | 2020 |
| Anomaly Detection in Academic Social Networks using Deep Clustering K Shehzad, MW Safiullah Afzal, MK Hayat | | |
Ali DaudProfessor, Rabdan Academy, Abu Dhabi, UAE在 ra.ac.ae 的电子邮件经过验证
