| Bring order into the samples: A novel scalable method for influence maximization X Wang, Y Zhang, W Zhang, X Lin, C Chen IEEE Transactions on Knowledge and Data Engineering 29 (2), 243-256, 2016 | 108 | 2016 |
| Stable community detection in signed social networks R Sun, C Chen, X Wang, Y Zhang, X Wang IEEE Transactions on Knowledge and Data Engineering 34 (10), 5051-5055, 2020 | 60 | 2020 |
| K-Core Maximization: An Edge Addition Approach. Z Zhou, F Zhang, X Lin, W Zhang, C Chen IJCAI, 4867-4873, 2019 | 54 | 2019 |
| K-core minimization: An edge manipulation approach W Zhu, C Chen, X Wang, X Lin Proceedings of the 27th ACM International Conference on Information and …, 2018 | 47 | 2018 |
| Efficient top-k vulnerable nodes detection in uncertain graphs D Cheng, C Chen, X Wang, S Xiang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1460-1472, 2021 | 32 | 2021 |
| Efficient maximum closeness centrality group identification C Chen, W Wang, X Wang Australasian Database Conference, 43-55, 2016 | 32 | 2016 |
| Efficient personalized influential community search in large networks Y Wu, J Zhao, R Sun, C Chen, X Wang Data Science and Engineering 6 (3), 310-322, 2021 | 29 | 2021 |
| Edge manipulation approaches for k-core minimization: metrics and analytics C Chen, Q Zhu, R Sun, X Wang, Y Wu IEEE Transactions on Knowledge and Data Engineering 35 (1), 390-403, 2021 | 27 | 2021 |
| Community identification in signed networks: a k-truss based model J Zhao, R Sun, Q Zhu, X Wang, C Chen Proceedings of the 29th ACM International Conference on Information …, 2020 | 26 | 2020 |
| Maximum Signed -Clique Identification in Large Signed Graphs C Chen, Y Wu, R Sun, X Wang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1791-1802, 2021 | 25 | 2021 |
| Discovering cliques in signed networks based on balance theory R Sun, Q Zhu, C Chen, X Wang, Y Zhang, X Wang Database Systems for Advanced Applications: 25th International Conference …, 2020 | 25 | 2020 |
| Pivotal Relationship Identification: The K-Truss Minimization Problem. W Zhu, M Zhang, C Chen, X Wang, F Zhang, X Lin IJCAI, 4874-4880, 2019 | 25 | 2019 |
| Powerful graph of graphs neural network for structured entity analysis H Wang, D Lian, W Liu, D Wen, C Chen, X Wang World Wide Web 25 (2), 609-629, 2022 | 24 | 2022 |
| Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs R Sun, Y Wu, C Chen, X Wang, W Zhang, X Lin 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1887-1899, 2022 | 23 | 2022 |
| Maximum Signed (k, r)-Truss Identification in Signed Networks Y Wu, R Sun, C Chen, X Wang, Q Zhu Proceedings of the 29th ACM International Conference on Information …, 2020 | 22 | 2020 |
| Efficient critical relationships identification in bipartite networks C Chen, Q Zhu, Y Wu, R Sun, X Wang, X Liu World Wide Web 25 (2), 741-761, 2022 | 19 | 2022 |
| Polarity-based graph neural network for sign prediction in signed bipartite graphs X Zhang, H Wang, J Yu, C Chen, X Wang, W Zhang World Wide Web 25 (2), 471-487, 2022 | 18 | 2022 |
| Bipartite graph capsule network X Zhang, H Wang, J Yu, C Chen, X Wang, W Zhang World Wide Web 26 (1), 421-440, 2023 | 15 | 2023 |
| Hurricane in bipartite graphs: The lethal nodes of butterflies Q Zhu, J Zheng, H Yang, C Chen, X Wang, Y Zhang Proceedings of the 32nd International Conference on Scientific and …, 2020 | 15 | 2020 |
| Cohesive subgraph detection in large bipartite networks Y Hao, M Zhang, X Wang, C Chen Proceedings of the 32nd International Conference on Scientific and …, 2020 | 15 | 2020 |
Wenjie ZhangProfessor of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
