Chen Li
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Image Retrieval and Classification Techniques 21
- Digital Imaging for Blood Diseases 15
- Human Pose and Action Recognition 12
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- AI in cancer detection 57
- Co-authors
- Marcin Grzegorzek (62 shared papers)Md Mamunur Rahaman (34 shared papers)Yudong Yao (36 shared papers)Hongzan Sun (48 shared papers)Shouliang Qi (30 shared papers)Tao Jiang (37 shared papers)Jinghua Zhang (25 shared papers)Changhao Sun (16 shared papers)
- Journals
- Computers in Biology and Medicine (14 papers)IEEE Access (10 papers)Artificial Intelligence Review (7 papers)Pattern Recognition (4 papers)Applied Sciences (4 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Chen Li
239 papers receiving 5.2k citations
Chen Li's Hit Papers
Peers
Comparison fields: 5 of 187
- Biophysics 524
- Radiology, Nuclear Medicine and Imaging 1.6k
- Health Informatics 91
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 2.2k
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 270 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 228 | |
| 2 | DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques Hit paper breakdown → | 2021 | 217 |
| 3 | GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection Hit paper breakdown → | 2022 | 192 |
| 4 | LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation Hit paper breakdown → | 2021 | 188 |
| 5 | A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches Hit paper breakdown → | 2022 | 180 |
| 6 | 2019 | 169 | |
| 7 | Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer Hit paper breakdown → | 2022 | 156 |
| 8 | 2020 | 156 | |
| 9 | CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron Hit paper breakdown → | 2022 | 147 |
| 10 | 2017 | 131 | |
| 11 | 2020 | 126 | |
| 12 | 2019 | 123 | |
| 13 | 2021 | 118 | |
| 14 | 2022 | 107 | |
| 15 | 2002 | 106 | |
| 16 | 2020 | 105 | |
| 17 | 2022 | 79 | |
| 18 | 2019 | 77 | |
| 19 | 2022 | 75 | |
| 20 | 2021 | 68 |
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 Biophysics, having authored 270 papers that have together received 5.3k indexed citations. Recurring topics across this work include AI in cancer detection (57 papers), Radiomics and Machine Learning in Medical Imaging (39 papers), Image Processing Techniques and Applications (38 papers), Cell Image Analysis Techniques (37 papers), Image Retrieval and Classification Techniques (21 papers), Industrial Vision Systems and Defect Detection (20 papers), Digital Imaging for Blood Diseases (15 papers) and Human Pose and Action Recognition (12 papers). The work is most often cited by research in Biophysics (524 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Health Informatics (91 citations), Computer Vision and Pattern Recognition (1.5k citations) and Artificial Intelligence (2.2k citations). Chen Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Marcin Grzegorzek, Md Mamunur Rahaman, Yudong Yao, Hongzan Sun, Shouliang Qi, Tao Jiang, Jinghua Zhang, Changhao Sun, Frank Kulwa and Jiliang Zhang. Their work appears in journals such as Computers in Biology and Medicine, IEEE Access, Artificial Intelligence Review, Pattern Recognition and Applied Sciences.
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.