Wuyin Jin
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 2%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jun MaChunni WangFuqiang WuXinlin SongYing XuLong HuangYing WuJun Tang
- Topics
- stochastic dynamics and bifurcation (45 papers)Nonlinear Dynamics and Pattern Formation (40 papers)Neural dynamics and brain function (38 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Partner nations
- ChinaSaudi ArabiaSingapore
In The Last Decade
Wuyin Jin
99 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Statistical and Nonlinear Physics 1.3k
- Cognitive Neuroscience 918
- Computer Networks and Communications 875
- Electrical and Electronic Engineering 287
- Cellular and Molecular Neuroscience 202
Countries citing papers authored by Wuyin Jin
This map shows the geographic impact of Wuyin Jin'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 Wuyin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuyin Jin more than expected).
Fields of papers citing papers by Wuyin Jin
This network shows the impact of papers produced by Wuyin Jin. 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 Wuyin Jin. The network helps show where Wuyin Jin may publish in the future.
Co-authorship network of co-authors of Wuyin Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Wuyin Jin. A scholar is included among the top collaborators of Wuyin Jin 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 Wuyin Jin. Wuyin Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 75 | |
| 17 | 145 | |
| 18 | 37 | |
| 19 | Geometric Dimensions Measurement for Shaft Based on Machine Vision | 0 |
| 20 | Implementation method of brain-computer interface system based on Fourier transform | 4 |
About Wuyin Jin
Wuyin Jin is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (45 papers), Nonlinear Dynamics and Pattern Formation (40 papers) and Neural dynamics and brain function (38 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Cognitive Neuroscience (918 citations) and Computer Networks and Communications (875 citations). Wuyin Jin has collaborated with scholars based in China, Saudi Arabia and Singapore. Frequent co-authors include Jun Ma, Chunni Wang, Fuqiang Wu, Xinlin Song, Ying Xu, Long Huang, Ying Wu, Jun Tang, Fan Li and Ping Zhou. Their work appears in journals such as IEEE Access, Sensors and Journal of Sound and Vibration.
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.