| CasSeqGCN: Combining network structure and temporal sequence to predict information cascades Y Wang, X Wang, Y Ran, R Michalski, T Jia Expert Systems with Applications 206, 117693, 2022 | 38 | 2022 |
| A generalized linear threshold model for an improved description of the spreading dynamics Y Ran, X Deng, X Wang, T Jia Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (8), 2020 | 15 | 2020 |
| Predicting future links with new nodes in temporal academic networks Y Ran, SY Liu, X Yu, KK Shang, T Jia Journal of Physics: Complexity 3 (1), 015006, 2022 | 12 | 2022 |
| Measuring similarity in co-occurrence data using ego-networks X Wang, Y Ran, T Jia Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (1), 2020 | 12 | 2020 |
| The maximum capability of a topological feature in link prediction Y Ran, XK Xu, T Jia PNAS nexus 3 (3), pgae113, 2024 | 5 | 2024 |
| A novel similarity measure for mining missing links in long-path networks Y Ran, T Liu, T Jia, XK Xu Chinese Physics B 31 (6), 068902, 2022 | 4 | 2022 |
| Peeking strategy for online news diffusion prediction via machine learning Y Zhang, M Feng, K Shang, Y Ran, CJ Wang Physica A: Statistical Mechanics and its Applications 598, 127357, 2022 | 2 | 2022 |
| Epidemic dynamics of two-pathogen spreading for pairwise models S Chen, Y Ran, H Huang, Z Wang, K Shang Mathematics 10 (11), 1906, 2022 | 2 | 2022 |
| Predicting Scientist Collaboration by Multiple Motif Features S Xu, Y Ran, XK Xu IEEE Transactions on Computational Social Systems, 2022 | 1 | 2022 |
Tao JiaCollege of Computer and Information Science, Southwest University, ChinaVerified email at swu.edu.cn
