Peng Wan
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Biophysics top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Topics
- Neural Networks Stability and Synchronization (28 papers)Advanced Fluorescence Microscopy Techniques (9 papers)stochastic dynamics and bifurcation (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Transactions on Automatic Control
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Peng Wan
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Computer Networks and Communications 532
- Statistical and Nonlinear Physics 265
- Biophysics 263
- Artificial Intelligence 211
- Molecular Biology 198
Countries citing papers authored by Peng Wan
This map shows the geographic impact of Peng Wan'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 Peng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wan more than expected).
Fields of papers citing papers by Peng Wan
This network shows the impact of papers produced by Peng Wan. 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 Peng Wan. The network helps show where Peng Wan may publish in the future.
Co-authorship network of co-authors of Peng Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wan. A scholar is included among the top collaborators of Peng Wan 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 Peng Wan. Peng Wan 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 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 37 | |
| 7 | 9 | |
| 8 | 27 | |
| 9 | 10 | |
| 10 | Efficacy Observation of Maxing Xuanfei Jiedu Decoction on Moderate COVID-19 Patients | 8 |
| 11 | 22 | |
| 12 | 30 | |
| 13 | 36 | |
| 14 | 42 | |
| 15 | Effects of geographical environment and genotype on nutritional contents, texture and microstructure of Auricularia auricula-judae. | 2 |
| 16 | 46 | |
| 17 | 43 | |
| 18 | 6 | |
| 19 | Inflammatory activity of endothelial cells activated by intestinal lymph in severe heat stroke | 1 |
| 20 | 22 |
About Peng Wan
Peng Wan is a scholar working on Biophysics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (28 papers), Advanced Fluorescence Microscopy Techniques (9 papers) and stochastic dynamics and bifurcation (9 papers). The work is most often cited by research in Biophysics (263 citations), Computer Networks and Communications (532 citations) and Statistical and Nonlinear Physics (265 citations). Peng Wan has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Jigui Jian, Zhigang Zeng, Tingting Yu, Dan Zhu, Yusha Li, Jianyi Xu, Dihua Sun, Min Zhao, Jingtan Zhu and Yilin Ma. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.
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.