| The science of science: From the perspective of complex systems A Zeng, Z Shen, J Zhou, J Wu, Y Fan, Y Wang, HE Stanley Physics reports 714, 1-73, 2017 | 371 | 2017 |
| Reconstructing propagation networks with natural diversity and identifying hidden sources Z Shen, WX Wang, Y Fan, Z Di, YC Lai Nature Communications 5, 4323, 2014 | 207 | 2014 |
| Robust reconstruction of complex networks from sparse data X Han, Z Shen, WX Wang, Z Di Physical review letters 114 (2), 028701, 2015 | 190 | 2015 |
| Increasing trend of scientists to switch between topics A Zeng, Z Shen, J Zhou, Y Fan, Z Di, Y Wang, HE Stanley, S Havlin Nature communications 10 (1), 3439, 2019 | 118 | 2019 |
| Locating the source of diffusion in complex networks by time-reversal backward spreading Z Shen, S Cao, WX Wang, Z Di, HE Stanley Physical Review E 93 (3), 032301, 2016 | 103 | 2016 |
| Emergence of communities and diversity in social networks X Han, S Cao, Z Shen, B Zhang, WX Wang, R Cressman, HE Stanley Proceedings of the National Academy of Sciences 114 (11), 2887-2891, 2017 | 57 | 2017 |
| Multi-source localization on complex networks with limited observers L Fu, Z Shen, WX Wang, Y Fan, Z Di Europhysics Letters 113 (1), 18006, 2016 | 36 | 2016 |
| Locating multiple diffusion sources in time varying networks from sparse observations ZL Hu, Z Shen, S Cao, B Podobnik, H Yang, WX Wang, YC Lai Scientific reports 8 (1), 2685, 2018 | 34 | 2018 |
| Universal data-based method for reconstructing complex networks with binary-state dynamics J Li, Z Shen, WX Wang, C Grebogi, YC Lai Physical Review E 95 (3), 032303, 2017 | 34 | 2017 |
| Localization of diffusion sources in complex networks with sparse observations ZL Hu, Z Shen, CB Tang, BB Xie, JF Lu Physics Letters A 382 (14), 931-937, 2018 | 31 | 2018 |
| Interrelations among scientific fields and their relative influence revealed by input-output analysis Z Shen, L Yang, J Pei, M Li, C Wu, J Bao, T Wei, Z Di, R Rousseau, J Wu Journal of Informetrics 10 (1), 82-97, 2016 | 27 | 2016 |
| Efficient reconstruction of heterogeneous networks from time series via compressed sensing L Ma, X Han, Z Shen, WX Wang, Z Di PloS one 10 (11), e0142837, 2015 | 24 | 2015 |
| Node2vec representation for clustering journals and as a possible measure of diversity Z Shen, F Chen, L Yang, J Wu Journal of Data and Information Science 4 (2), 79-92, 2019 | 23 | 2019 |
| Reconstructing direct and indirect interactions in networked public goods game X Han, Z Shen, WX Wang, YC Lai, C Grebogi Scientific Reports 6, 30241, 2016 | 19 | 2016 |
| Weighted H-index for identifying influential spreaders L Gao, S Yu, M Li, Z Shen, Z Gao Symmetry 11 (10), 1263, 2019 | 16 | 2019 |
| Lognormal distribution of citation counts is the reason for the relation between Impact Factors and Citation Success Index Z Shen, L Yang, J Wu Journal of Informetrics 12, 153-157, 2018 | 13 | 2018 |
| The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity J Ding, Z Shen, P Ahlgren, T Jeppsson, D Minguillo, J Lyhagen Scientometrics 126 (9), 7759-7810, 2021 | 10 | 2021 |
| Cascading failure with preferential redistribution on bus–subway coupled network S Jo, L Gao, F Liu, M Li, Z Shen, L Xu, ZY Gao International Journal of Modern Physics C 32 (08), 2150103, 2021 | 7 | 2021 |
| Localization of diffusion sources in complex networks: A maximum-largest method ZL Hu, Z Shen, J Han, H Peng, JF Lu, R Jia, XB Zhu, D Zhao Physica A: Statistical Mechanics and its Applications 527, 121262, 2019 | 7 | 2019 |
| Do mathematicians, economists and biomedical scientists trace large topics more strongly than physicists? M Li, L Yang, H Zhang, Z Shen, C Wu, J Wu Journal of Informetrics 11 (2), 598-607, 2017 | 7 | 2017 |
Yang Liying(杨立英)National Science Library, Chinese Academy of Sciences（中国科学院文献情报中心）Overená e-mailová adresa na: mail.las.ac.cn
