| Tracking the evolution of overlapping communities in dynamic social networks Z Wang, Z Li, G Yuan, Y Sun, X Rui, X Xiang Knowledge-Based Systems 157, 81-97, 2018 | 60 | 2018 |
| SPIR: The potential spreaders involved SIR model for information diffusion in social networks X Rui, F Meng, Z Wang, G Yuan, C Du Physica A: Statistical Mechanics and Its Applications 506, 254-269, 2018 | 43 | 2018 |
| A reversed node ranking approach for influence maximization in social networks X Rui, F Meng, Z Wang, G Yuan Applied Intelligence 49, 2684-2698, 2019 | 38 | 2019 |
| Superspreaders and superblockers based community evolution tracking in dynamic social networks Z Xu, X Rui, J He, Z Wang, T Hadzibeganovic Knowledge-Based Systems 192, 105377, 2020 | 29 | 2020 |
| Rumour detection based on graph convolutional neural net N Bai, F Meng, X Rui, Z Wang IEEE Access 9, 21686-21693, 2021 | 24 | 2021 |
| Coupled node similarity learning for community detection in attributed networks F Meng, X Rui, Z Wang, Y Xing, L Cao Entropy 20 (6), 471, 2018 | 20 | 2018 |
| A neighbour scale fixed approach for influence maximization in social networks X Rui, X Yang, J Fan, Z Wang Computing 102, 427-449, 2020 | 19 | 2020 |
| Localization of multiple diffusion sources based on overlapping community detection Z Wang, C Sun, X Rui, SY Philip, L Sun Knowledge-Based Systems 226, 106613, 2021 | 11 | 2021 |
| Endemic information-contagion outbreaks in complex networks with potential spreaders based recurrent-state transmission dynamics Z Wang, X Rui, G Yuan, J Cui, T Hadzibeganovic Physica A: Statistical Mechanics and its Applications 573, 125907, 2021 | 10 | 2021 |
| A neighborhood link sensitive dismantling method for social networks Z Wang, C Sun, G Yuan, X Rui, X Yang Journal of Computational Science 43, 101129, 2020 | 10 | 2020 |
| Rumor detection based on a source-replies conversation tree convolutional neural net N Bai, F Meng, X Rui, Z Wang Computing, 1-17, 2022 | 9 | 2022 |
| A multi-task attention tree neural net for stance classification and rumor veracity detection N Bai, F Meng, X Rui, Z Wang Applied Intelligence 53 (9), 10715-10725, 2023 | 7 | 2023 |
| A multimodel-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set J Tong, Z Wang, X Rui Computational Intelligence and Neuroscience 2022, 2022 | 7 | 2022 |
| A weighted symmetric graph embedding approach for link prediction in undirected graphs Z Wang, Y Chai, C Sun, X Rui, H Mi, X Zhang, SY Philip IEEE Transactions on Cybernetics, 2022 | 5 | 2022 |
| Attention-based graph neural networks: a survey C Sun, C Li, X Lin, T Zheng, F Meng, X Rui, Z Wang Artificial Intelligence Review 56 (Suppl 2), 2263-2310, 2023 | 4 | 2023 |
| Scalable fair influence maximization X Rui, Z Wang, J Zhao, L Sun, W Chen Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Scalable adversarial attack algorithms on influence maximization L Sun, X Rui, W Chen Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 3 | 2023 |
| Triadic Closure Sensitive Influence Maximization J Yang, Z Wang, X Rui, Y Chai, PS Yu, L Sun ACM Transactions on Knowledge Discovery from Data 17 (6), 1-26, 2023 | 2 | 2023 |
| A multi-aggregator graph neural network for backbone exaction of fracture networks T Zheng, C Sun, J Zhang, J Ye, X Rui, Z Wang Computational Geosciences, 1-13, 2024 | | 2024 |
| LGAT: a light graph attention network focusing on message passing for semi-supervised node classification C Sun, F Meng, C Li, X Rui, Z Wang Computing, 1-19, 2024 | | 2024 |
