Ye Wu
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Modeling and Simulation top 1%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jinghua XiaoJürgen KurthsChangsong ZhouHans Joachim SchellnhuberMei-Hwa ChenMeng ZhanLin WangXiao-Ke Xu
- Topics
- Nonlinear Dynamics and Pattern Formation (26 papers)Complex Network Analysis Techniques (22 papers)Opinion Dynamics and Social Influence (16 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ye Wu
108 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Computer Networks and Communications 441
- Statistical and Nonlinear Physics 413
- Modeling and Simulation 211
- Information Systems 165
- Artificial Intelligence 160
Countries citing papers authored by Ye Wu
This map shows the geographic impact of Ye Wu'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 Ye Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wu more than expected).
Fields of papers citing papers by Ye Wu
This network shows the impact of papers produced by Ye Wu. 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 Ye Wu. The network helps show where Ye Wu may publish in the future.
Co-authorship network of co-authors of Ye Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ye Wu. A scholar is included among the top collaborators of Ye Wu 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 Ye Wu. Ye Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 217 | |
| 11 | Effect of Arbuscular Mycorrhiza Inoculation on Cold Resistance in Elymus nutans | 2 |
| 12 | 18 | |
| 13 | Smith's rent gap theory and evolution of gentrification | 2 |
| 14 | 18 | |
| 15 | Application of fractal theory in seismology | 1 |
| 16 | A High-Speed RS Decoder Using Extended BM Algorithm Based on FPGA | 1 |
| 17 | 24 | |
| 18 | 5 | |
| 19 | An Optimal Algorithm on Validity of Black-start Schemes of Electric Power Grid Based on GSM Model | 0 |
| 20 | Architectural-level power estimation and experimentation | 2 |
About Ye Wu
Ye Wu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Software, having authored 117 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (26 papers), Complex Network Analysis Techniques (22 papers) and Opinion Dynamics and Social Influence (16 papers). The work is most often cited by research in Modeling and Simulation (211 citations), Software (149 citations) and Statistical and Nonlinear Physics (413 citations). Ye Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinghua Xiao, Jürgen Kurths, Changsong Zhou, Hans Joachim Schellnhuber, Mei-Hwa Chen, Meng Zhan, Lin Wang, Xiao-Ke Xu, GM Leung and Sheikh Taslim Ali. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.