Rui Yan
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Co-authors
- Jian‐Xin XuHuajin TangKeng Peng TeeXianye BenWeixiao MengHaizhou LiDilip Kumar LimbuKay Chen Tan
- Topics
- Advanced Memory and Neural Computing (39 papers)Neural dynamics and brain function (31 papers)Robot Manipulation and Learning (14 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Rui Yan
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 133
- Control and Systems Engineering 849
- Computer Vision and Pattern Recognition 709
- Electrical and Electronic Engineering 488
- Artificial Intelligence 479
- Biomedical Engineering 440
Countries citing papers authored by Rui Yan
This map shows the geographic impact of Rui Yan'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 Rui Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Yan more than expected).
Fields of papers citing papers by Rui Yan
This network shows the impact of papers produced by Rui Yan. 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 Rui Yan. The network helps show where Rui Yan may publish in the future.
Co-authorship network of co-authors of Rui Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yan. A scholar is included among the top collaborators of Rui Yan 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 Rui Yan. Rui Yan 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 | 6 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 27 | |
| 17 | 6 | |
| 18 | A Nanopublication Framework for Biological Networks using Cytoscape.js. | 1 |
| 19 | Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches. | 7 |
| 20 | 15 |
About Rui Yan
Rui Yan is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 139 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (39 papers), Neural dynamics and brain function (31 papers) and Robot Manipulation and Learning (14 papers). The work is most often cited by research in Control and Systems Engineering (849 citations), Computer Vision and Pattern Recognition (709 citations) and Human-Computer Interaction (124 citations). Rui Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jian‐Xin Xu, Huajin Tang, Keng Peng Tee, Xianye Ben, Weixiao Meng, Haizhou Li, Dilip Kumar Limbu, Kay Chen Tan, Xi Peng and Yanan Li. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Sensors and Actuators B Chemical.
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.