Chen Li
Impact in
-
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Artificial Intelligence top 0.5%
- AI in cancer detection
Papers in
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- Advanced Neural Network Applications 26
- Medical Image Segmentation Techniques 15
- Image Retrieval and Classification Techniques 11
- Human Pose and Action Recognition 11
- Biophysics 30
- Cell Image Analysis Techniques 30
- Co-authors
- Marcin Grzegorzek (61 shared papers)Md Mamunur Rahaman (33 shared papers)Yu-Dong Yao (35 shared papers)Gim Hee Lee (10 shared papers)Hongzan Sun (45 shared papers)Shouliang Qi (30 shared papers)Jinghua Zhang (24 shared papers)Tao Jiang (36 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
226 papers receiving 5.7k citations
Chen Li's Hit Papers
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 2.1k
- Biophysics 408
- Health Informatics 114
- Radiology, Nuclear Medicine and Imaging 749
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 256 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convolutional Sequence to Sequence Model for Human Dynamics Hit paper breakdown → | 2018 | 267 |
| 2 | DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques Hit paper breakdown → | 2021 | 234 |
| 3 | Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches Hit paper breakdown → | 2020 | 232 |
| 4 | A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches Hit paper breakdown → | 2022 | 202 |
| 5 | GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection Hit paper breakdown → | 2022 | 201 |
| 6 | 2021 | 189 | |
| 7 | 2019 | 187 | |
| 8 | 2019 | 179 | |
| 9 | 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 | 168 |
| 10 | CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron Hit paper breakdown → | 2022 | 165 |
| 11 | 2020 | 160 | |
| 12 | 2017 | 137 | |
| 13 | 2021 | 133 | |
| 14 | 2020 | 131 | |
| 15 | 2019 | 128 | |
| 16 | 2022 | 111 | |
| 17 | 2020 | 104 | |
| 18 | 2022 | 81 | |
| 19 | 2022 | 80 | |
| 20 | 2019 | 78 |
About Chen Li
Chen Li is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Industrial and Manufacturing Engineering and Radiology, Nuclear Medicine and Imaging, having authored 256 papers that have together received 5.8k indexed citations. Recurring topics across this work include AI in cancer detection (49 papers), Cell Image Analysis Techniques (30 papers), Advanced Neural Network Applications (26 papers), Industrial Vision Systems and Defect Detection (18 papers), Medical Image Segmentation Techniques (15 papers), Image Retrieval and Classification Techniques (11 papers), Human Pose and Action Recognition (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (2.1k citations), Biophysics (408 citations), Health Informatics (114 citations) and Radiology, Nuclear Medicine and Imaging (749 citations). Chen Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Marcin Grzegorzek, Md Mamunur Rahaman, Yu-Dong Yao, Gim Hee Lee, Hongzan Sun, Shouliang Qi, Jinghua Zhang, Tao Jiang, Changhao Sun and Frank Kulwa. 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.