Chen Li
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Advanced Neural Network Applications 20
- Advanced Vision and Imaging 15
- Advanced Image and Video Retrieval Techniques 13
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- Domain Adaptation and Few-Shot Learning 14
- AI in cancer detection 9
- Co-authors
- Xin Luo (15 shared papers)Yusong Tan (12 shared papers)Xiaoping Yang (1 shared paper)Jun Ma (1 shared paper)Anne L. Martel (1 shared paper)Matthew Ng (1 shared paper)Jianan Chen (1 shared paper)Wei Chen (4 shared papers)
- Journals
- Sensors (3 papers)Neural Networks (3 papers)Journal of Educational Measurement (2 papers)Applied Sciences (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chen Li
82 papers receiving 1.2k citations
Chen Li's Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 596
- Radiology, Nuclear Medicine and Imaging 329
- Health Informatics 21
- Neurology 111
- Artificial Intelligence 381
Countries citing papers authored by Chen Li
This map shows the geographic impact of Chen 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 Chen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Li more than expected).
Fields of papers citing papers by Chen Li
This network shows the impact of papers produced by Chen 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 Chen Li. The network helps show where Chen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss odyssey in medical image segmentation Hit paper breakdown → | 2021 | 397 |
| 2 | 2020 | 132 | |
| 3 | 2020 | 129 | |
| 4 | 2014 | 45 | |
| 5 | 2023 | 40 | |
| 6 | 2022 | 35 | |
| 7 | 2024 | 35 | |
| 8 | 2023 | 32 | |
| 9 | 2019 | 30 | |
| 10 | 2023 | 27 | |
| 11 | 2019 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2014 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2023 | 9 |
About Chen Li
Chen Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Signal Processing, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (20 papers), Advanced Vision and Imaging (15 papers), Domain Adaptation and Few-Shot Learning (14 papers), Advanced Image and Video Retrieval Techniques (13 papers), AI in cancer detection (9 papers), Image Processing Techniques and Applications (8 papers), COVID-19 diagnosis using AI (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (596 citations), Radiology, Nuclear Medicine and Imaging (329 citations), Health Informatics (21 citations), Neurology (111 citations) and Artificial Intelligence (381 citations). Chen Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin Luo, Yusong Tan, Xiaoping Yang, Jun Ma, Anne L. Martel, Matthew Ng, Jianan Chen, Wei Chen, Yuanming Gao and Yulin He. Their work appears in journals such as Sensors, Neural Networks, Journal of Educational Measurement, Applied Sciences and Expert Systems with Applications.
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.