Weifeng Jin
Impact in
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- Traditional Chinese Medicine Analysis
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- DNA and Biological Computing 10
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- Traditional Chinese Medicine Analysis 25
- Co-authors
- Yu He (19 shared papers)Li Yu (23 shared papers)Haitong Wan (14 shared papers)Yuyan Zhang (11 shared papers)Yangyang Zhang (10 shared papers)Yawei Wang (17 shared papers)Jiehong Yang (10 shared papers)Fangyue Chen (23 shared papers)
In The Last Decade
Weifeng Jin
97 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 146
- Complementary and alternative medicine 200
- Neurology 104
- Pharmacology 88
- Biochemistry 48
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Weifeng Jin
This map shows the geographic impact of Weifeng 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 Weifeng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Jin more than expected).
Fields of papers citing papers by Weifeng Jin
This network shows the impact of papers produced by Weifeng 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 Weifeng Jin. The network helps show where Weifeng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weifeng Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 111 | |
| 2 | 2020 | 85 | |
| 3 | 2021 | 52 | |
| 4 | 2018 | 43 | |
| 5 | 2021 | 40 | |
| 6 | 2017 | 38 | |
| 7 | 2024 | 32 | |
| 8 | 2016 | 32 | |
| 9 | 2022 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2023 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2016 | 23 | |
| 14 | 2024 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2017 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 18 | |
| 19 | 2023 | 18 | |
| 20 | 2021 | 18 |
About Weifeng Jin
Weifeng Jin is a scholar working on Molecular Biology, Complementary and alternative medicine, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 110 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (25 papers), Cellular Automata and Applications (20 papers), Digital Holography and Microscopy (19 papers), Optical measurement and interference techniques (18 papers), Mathematical Dynamics and Fractals (15 papers), DNA and Biological Computing (10 papers), Neurological Disease Mechanisms and Treatments (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Complementary and alternative medicine (200 citations), Neurology (104 citations), Pharmacology (88 citations), Biochemistry (48 citations) and Computer Vision and Pattern Recognition (112 citations). Weifeng Jin has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Yu He, Li Yu, Haitong Wan, Yuyan Zhang, Yangyang Zhang, Yawei Wang, Jiehong Yang, Fangyue Chen, Yuanyuan Xu and Guangwei Chen. Their work appears in journals such as Optics Communications, Optik, Frontiers in Pharmacology, Nonlinear Dynamics and Phytomedicine.
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.