| Deep learning for heterogeneous medical data analysis L Yue, D Tian, W Chen, X Han, M Yin World Wide Web 23, 2715-2737, 2020 | 75 | 2020 |
| Novel fruit fly optimization algorithm with trend search and co-evolution X Han, Q Liu, H Wang, L Wang Knowledge-Based Systems 141, 1-17, 2018 | 59 | 2018 |
| A method of two-stage clustering learning based on improved DBSCAN and density peak algorithm M Li, X Bi, L Wang, X Han Computer Communications 167, 75-84, 2021 | 54 | 2021 |
| A fuzzy document clustering approach based on domain-specified ontology L Yue, W Zuo, T Peng, Y Wang, X Han Data & Knowledge Engineering 100, 148-166, 2015 | 33 | 2015 |
| A novel adaptive density-based spatial clustering of application with noise based on bird swarm optimization algorithm L Wang, H Wang, X Han, W Zhou Computer Communications 174, 205-214, 2021 | 26 | 2021 |
| Affinity propagation clustering algorithm based on large-scale data-set L Wang, K Zheng, X Tao, X Han International Journal of Computers and Applications 40 (3), 1-6, 2018 | 19 | 2018 |
| Gravity theory-based affinity propagation clustering algorithm and its applications L Wang, Z Hao, X Han, R Zhou Tehnički vjesnik 25 (4), 1125-1135, 2018 | 18 | 2018 |
| Improved fruit fly optimization algorithm-based density peak clustering and its applications R Zhou, Q Liu, Z Xu, L Wang, X Han Tehnički vjesnik 24 (2), 473-480, 2017 | 16 | 2017 |
| MAF‐CNER: A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion X Han, F Zhou, Z Hao, Q Liu, Y Li, Q Qin Complexity 2021 (1), 6696064, 2021 | 15 | 2021 |
| Modified semi-supervised affinity propagation clustering with fuzzy density fruit fly optimization R Zhou, Q Liu, J Wang, X Han, L Wang Neural Computing and Applications 33, 4695-4712, 2021 | 14 | 2021 |
| Swarm intelligence optimization algorithms and their application T Yu, L Wang, X Han, Y Liu, L Zhang | 14 | 2015 |
| ADAPTIVE SEMI-SUPERVISED AFFINITY PROPAGATION CLUSTERING ALGORITHM BASED ON STRUCTURAL SIMILARITY. L Wang, Q Ji, X Han Tehnicki vjesnik/Technical Gazette 23 (2), 2016 | 13 | 2016 |
| A novel density peaks clustering halo node assignment method based on K-nearest neighbor theory L Wang, W Zhou, H Wang, M Parmar, X Han IEEE Access 7, 174380-174390, 2019 | 11 | 2019 |
| An improved density-based spatial clustering of application with noise L Wang, M Li, X Han, K Zheng International Journal of Computers and Applications 40 (3), 1-7, 2018 | 11 | 2018 |
| Text similarity measurement method and application of online medical community based on density peak clustering M Li, X Bi, L Wang, X Han, L Wang, W Zhou Journal of Organizational and End User Computing (JOEUC) 34 (2), 1-25, 2022 | 10 | 2022 |
| Research on bilingual teaching reform of undergraduate computer courses in financial and economical colleges L Wang, X Han, S Zhang 2009 First International Workshop on Education Technology and Computer …, 2009 | 10 | 2009 |
| Improved density peak clustering algorithm based on choosing strategy automatically for cut-off distance and cluster centre L Wang, M Li, X Han, R Zhou, K Zheng, M Liu Tehnički vjesnik 25 (2), 536-545, 2018 | 9 | 2018 |
| A novel density deviation multi-peaks automatic clustering algorithm W Zhou, L Wang, X Han, M Parmar, M Li Complex & Intelligent Systems 9 (1), 177-211, 2023 | 8 | 2023 |
| Uncovering hidden vulnerabilities in convolutional neural networks through graph-based adversarial robustness evaluation K Wang, Z Chen, X Dang, X Fan, X Han, CM Chen, W Ding, SM Yiu, ... Pattern Recognition 143, 109745, 2023 | 7 | 2023 |
| Targeted mining of top-k high utility itemsets S Huang, W Gan, J Miao, X Han, P Fournier-Viger Engineering Applications of Artificial Intelligence 126, 107047, 2023 | 7 | 2023 |
