Jianfeng Feng
- Cognitive Neuroscience top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Edmund T. RollsChu‐Chung HuangWei ChengChing‐Po LinYanwei FuLi ZhangMarc JoliotXiatian Zhu
- Topics
- Neural dynamics and brain function (155 papers)Functional Brain Connectivity Studies (97 papers)stochastic dynamics and bifurcation (56 papers)
- Cited by
- Cognitive NeuroscienceComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jianfeng Feng
343 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Cognitive Neuroscience 6.1k
- Computer Vision and Pattern Recognition 2.6k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Artificial Intelligence 1.5k
- Cellular and Molecular Neuroscience 1.3k
Countries citing papers authored by Jianfeng Feng
This map shows the geographic impact of Jianfeng Feng'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 Jianfeng Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianfeng Feng more than expected).
Fields of papers citing papers by Jianfeng Feng
This network shows the impact of papers produced by Jianfeng Feng. 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 Jianfeng Feng. The network helps show where Jianfeng Feng may publish in the future.
Co-authorship network of co-authors of Jianfeng Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Jianfeng Feng. A scholar is included among the top collaborators of Jianfeng Feng 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 Jianfeng Feng. Jianfeng Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 19 | |
| 14 | Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformersbreakdown → | 2386 |
| 15 | 5 | |
| 16 | 37 | |
| 17 | 5 | |
| 18 | 52 | |
| 19 | 117 | |
| 20 | 56 |
About Jianfeng Feng
Jianfeng Feng is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 358 papers that have together received 13.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (155 papers), Functional Brain Connectivity Studies (97 papers) and stochastic dynamics and bifurcation (56 papers). The work is most often cited by research in Cognitive Neuroscience (6.1k citations), Computer Vision and Pattern Recognition (2.6k citations) and Experimental and Cognitive Psychology (1.2k citations). Jianfeng Feng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Edmund T. Rolls, Chu‐Chung Huang, Wei Cheng, Ching‐Po Lin, Yanwei Fu, Li Zhang, Marc Joliot, Xiatian Zhu, Jiachen Lu and Tao Xiang. Their work appears in journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.
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.