Tao Wen
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Kang Hao CheongYong DengWen JiangJoel Weijia LaiYu‐Wang ChenDanilo PelusiEugene V. KooninHongfang Yu
- Topics
- Complex Network Analysis Techniques (19 papers)Opinion Dynamics and Social Influence (12 papers)Complex Systems and Time Series Analysis (9 papers)
- Cited by
- Statistical and Nonlinear PhysicsManagement Science and Operations ResearchArtificial Intelligence
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersEuropean Journal of Operational Research
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Tao Wen
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Statistical and Nonlinear Physics 527
- Artificial Intelligence 284
- Computer Networks and Communications 158
- Economics and Econometrics 139
- Management Science and Operations Research 123
Countries citing papers authored by Tao Wen
This map shows the geographic impact of Tao Wen'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 Tao Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Wen more than expected).
Fields of papers citing papers by Tao Wen
This network shows the impact of papers produced by Tao Wen. 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 Tao Wen. The network helps show where Tao Wen may publish in the future.
Co-authorship network of co-authors of Tao Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Wen. A scholar is included among the top collaborators of Tao Wen 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 Tao Wen. Tao Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 30 | |
| 14 | 23 | |
| 15 | Research on the Price Spillover Effect and Dynamic Correlation between the Futures Market and the Spot Market of Rapeseed Oil in China | 0 |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | An Empirical Study on the Effect of the Investment in Rural Infrastructure | 0 |
| 20 | 6 |
About Tao Wen
Tao Wen is a scholar working on Statistical and Nonlinear Physics, Aging and Computer Networks and Communications, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (12 papers) and Complex Systems and Time Series Analysis (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (527 citations), Management Science and Operations Research (123 citations) and Artificial Intelligence (284 citations). Tao Wen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kang Hao Cheong, Yong Deng, Wen Jiang, Joel Weijia Lai, Yu‐Wang Chen, Danilo Pelusi, Eugene V. Koonin, Hongfang Yu, Jie Zhao and Jin Ming Koh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and European Journal of Operational Research.
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.