Weihua Li
- Statistical and Nonlinear Physics top 5%
- Statistics, Probability and Uncertainty top 2%
- Sociology and Political Science
- Public Health, Environmental and Occupational Health
- Information Systems
- Co-authors
- Tomaso AsteGiacomo LivanFabio CaccioliZhiming ZhengShaoting TangSkyler CranmerQuantong GuoSam Zhang
- Topics
- Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (7 papers)scientometrics and bibliometrics research (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Weihua Li
15 papers receiving 333 citations
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 128
- Statistics, Probability and Uncertainty 118
- Sociology and Political Science 69
- Public Health, Environmental and Occupational Health 36
- Information Systems 31
Countries citing papers authored by Weihua Li
This map shows the geographic impact of Weihua Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weihua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Li more than expected).
Fields of papers citing papers by Weihua Li
This network shows the impact of papers produced by Weihua Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weihua Li. The network helps show where Weihua Li may publish in the future.
Co-authorship network of co-authors of Weihua Li
This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Li. A scholar is included among the top collaborators of Weihua Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weihua Li. Weihua Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 10 | |
| 3 | Early coauthorship with top scientists predicts success in academic careers | 18 |
| 4 | 2 | |
| 5 | 129 | |
| 6 | 19 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 17 | |
| 14 | 39 | |
| 15 | 13 | |
| 16 | An Investigation into Graduate Students' Mental Health and Life Stress | 1 |
About Weihua Li
Weihua Li is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Information Systems and Management, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and scientometrics and bibliometrics research (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (118 citations), Statistical and Nonlinear Physics (128 citations) and Safety Research (27 citations). Weihua Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tomaso Aste, Giacomo Livan, Fabio Caccioli, Zhiming Zheng, Shaoting Tang, Skyler Cranmer, Quantong Guo, Sam Zhang, Aaron Clauset and Xiao Zhang. Their work appears in journals such as Nature Communications, PLoS ONE and Science Advances.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.