| Representation learning of graphs using graph convolutional multilayer networks based on motifs X Li, W Wei, X Feng, X Liu, Z Zheng Neurocomputing 464, 218-226, 2021 | 11 | 2021 |
| Optimal stabilization of Boolean networks through collective influence J Wang, S Pei, W Wei, X Feng, Z Zheng Physical Review E 97 (3), 032305, 2018 | 11 | 2018 |
| Dynamic aspiration based on Win-Stay-Lose-Learn rule in spatial prisoner’s dilemma game Z Shi, W Wei, X Feng, X Li, Z Zheng Plos one 16 (1), e0244814, 2021 | 9 | 2021 |
| Effects of dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma Z Shi, W Wei, X Feng, R Zhang, Z Zheng Chaos, Solitons & Fractals 151, 111269, 2021 | 8 | 2021 |
| Exploring the heterogeneity for node importance byvon Neumann entropy X Feng, W Wei, R Zhang, J Wang, Y Shi, Z Zheng Physica A: Statistical Mechanics and its Applications 517, 53-65, 2019 | 6 | 2019 |
| Research of motif-based similarity for link prediction problem C Li, W Wei, X Feng, J Liu IEEE Access 9, 66636-66645, 2021 | 5 | 2021 |
| A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding B Pang, W Wei, X Li, X Feng, C Li Engineering Applications of Artificial Intelligence 126, 106849, 2023 | 4 | 2023 |
| The dynamic resilience of urban labour networks X Feng, A Rutherford Royal Society Open Science 10 (7), 230214, 2023 | 2 | 2023 |
| Graph classification based on skeleton and component features X Liu, W Wei, X Feng, X Cao, D Sun Knowledge-Based Systems 228, 107301, 2021 | 2 | 2021 |
| Core influence mechanism on vertex-cover problem through leaf-removal-core breaking X Feng, W Wei, X Li, Z Zheng Journal of Statistical Mechanics: Theory and Experiment 2019 (7), 073401, 2019 | 2 | 2019 |
| Research on Centralities Based on von Neumann Entropy for Nodes and Motifs X Feng, W Wei, J Wang, Z Zheng arXiv preprint arXiv 1707, 2017 | 1 | 2017 |
| Link prediction by continuous spatiotemporal representation via neural differential equations L Huang, B Pang, Q Yang, X Feng, W Wei Knowledge-Based Systems 292, 111619, 2024 | | 2024 |
| Graphical Representation and Hierarchical Decomposition Mechanism for Vertex-Cover Solution Space W Wei, X Feng Applied Mathematics and Computation 458 (128264), 2023 | | 2023 |
| Efficient Link Prediction in Continuous-Time Dynamic Networks using Optimal Transmission and Metropolis Hastings Sampling R Zhang, W Wei, Q Yang, Z Shi, X Feng, Z Zheng arXiv preprint arXiv:2309.04982, 2023 | | 2023 |
| Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network X Li, W Wei, R Zhang, Z Shi, Z Zheng, X Feng ACM Transactions on Intelligent Systems and Technology 14 (3), 1-21, 2023 | | 2023 |
| Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process Q Yang, W Wei, R Zhang, B Pang, X Feng arXiv preprint arXiv:2204.13301, 2022 | | 2022 |
| Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover. X Feng, W Wei, J Wang, X Liu, Z Zheng arXiv preprint arXiv:1912.08559, 2019 | | 2019 |
| Identifying influential vertices in boolean networks through dynamical voter rank J Wang, X Feng, Z Yin, B Guo, Z Zheng 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation …, 2017 | | 2017 |
| Exploring the Node Importance Based on von Neumann Entropy X Feng, W Wei, J Wang, Y Shi, Z Zheng arXiv preprint arXiv:1707.00386, 2017 | | 2017 |
| Correlation Research of Centralities on Complex Network by Statistical Learning Y SHI, W WEI, X FENG, Z ZHENG | | |
