Chenxin Li
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Genomics and Phylogenetic Studies 4
- Plant Reproductive Biology 3
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- Plant Molecular Biology Research 4
- Co-authors
- Yue Huang (6 shared papers)Xinghao Ding (6 shared papers)C. Robin Buell (5 shared papers)Yizhou Yu (3 shared papers)Venkatesan Sundaresan (5 shared papers)Scott D. Russell (4 shared papers)Liyan Sun (2 shared papers)John P. Hamilton (3 shared papers)
- Journals
- Acta Diabetologica (2 papers)Nucleic Acids Research (2 papers)Diabetes Research and Clinical Practice (2 papers)Computers in Biology and Medicine (2 papers)Journal of Applied Probability (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chenxin Li
75 papers receiving 1.2k citations
Chenxin Li's Hit Papers
Peers
Comparison fields: 5 of 157
- Biological Psychiatry 25
- Computer Vision and Pattern Recognition 158
- Plant Science 217
- Process Chemistry and Technology 16
- Neurology 46
Countries citing papers authored by Chenxin Li
This map shows the geographic impact of Chenxin Li'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 Chenxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxin Li more than expected).
Fields of papers citing papers by Chenxin Li
This network shows the impact of papers produced by Chenxin Li. 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 Chenxin Li. The network helps show where Chenxin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxin Li, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | Single-cell multi-omics in the medicinal plant Catharanthus roseus Hit paper breakdown → | 2023 | 104 |
| 3 | 2021 | 86 | |
| 4 | 2017 | 77 | |
| 5 | U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation Hit paper breakdown → | 2025 | 76 |
| 6 | 2021 | 59 | |
| 7 | 2017 | 50 | |
| 8 | 2010 | 44 | |
| 9 | 2021 | 30 | |
| 10 | 2007 | 28 | |
| 11 | 2020 | 25 | |
| 12 | 2021 | 23 | |
| 13 | 2006 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2023 | 17 | |
| 20 | 2020 | 17 |
About Chenxin Li
Chenxin Li is a scholar working on Molecular Biology, Plant Science, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Mechanical Engineering, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Plant Molecular Biology Research (4 papers), Genomics and Phylogenetic Studies (4 papers), Retinal Diseases and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Antenna Design and Analysis (3 papers), Plant Reproductive Biology (3 papers) and Advanced Antenna and Metasurface Technologies (3 papers). The work is most often cited by research in Biological Psychiatry (25 citations), Computer Vision and Pattern Recognition (158 citations), Plant Science (217 citations), Process Chemistry and Technology (16 citations) and Neurology (46 citations). Chenxin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yue Huang, Xinghao Ding, C. Robin Buell, Yizhou Yu, Venkatesan Sundaresan, Scott D. Russell, Liyan Sun, John P. Hamilton, Shitai Cao and Yunlei Zhou. Their work appears in journals such as Acta Diabetologica, Nucleic Acids Research, Diabetes Research and Clinical Practice, Computers in Biology and Medicine and Journal of Applied Probability.
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.