Chunming Li
- Computer Vision and Pattern Recognition top 0.05%
- Medical Image Segmentation Techniques 44
- Image and Object Detection Techniques 13
- Advanced Neural Network Applications 12
- Image and Signal Denoising Methods 12
- Media Technology top 0.1%
- Image Processing Techniques and Applications 7
- Biophysics top 0.5%
-
- Cardiac Imaging and Diagnostics 13
- Neurology top 1%
-
- Coronary Interventions and Diagnostics 13
-
- Inflammatory mediators and NSAID effects 9
- Journals
- Magnetic Resonance Imaging (7 papers)Current Medical Research and Opinion (5 papers)International Journal of Molecular Sciences (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chunming Li
255 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Computer Vision and Pattern Recognition 6.2k
- Media Technology 1.4k
- Biophysics 486
- Radiology, Nuclear Medicine and Imaging 1.9k
- Neurology 569
Countries citing papers authored by Chunming Li
This map shows the geographic impact of Chunming 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 Chunming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunming Li more than expected).
Fields of papers citing papers by Chunming Li
This network shows the impact of papers produced by Chunming 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 Chunming Li. The network helps show where Chunming Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 63 | |
| 17 | 2016 | 12 | |
| 18 | 2013 | 27 | |
| 19 | Second-generation versus first-generation antipsychotic drugs for schizophrenia : a meta-analysis. Commentary | 2009 | 2 |
| 20 | 2005 | 2 |
About Chunming Li
Chunming Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Obstetrics and Gynecology and Pharmacology, having authored 279 papers that have together received 11.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (44 papers), Image and Object Detection Techniques (13 papers), Cardiac Imaging and Diagnostics (13 papers), Coronary Interventions and Diagnostics (13 papers), Advanced Neural Network Applications (12 papers), Image and Signal Denoising Methods (12 papers), Inflammatory mediators and NSAID effects (9 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.2k citations), Media Technology (1.4k citations), Biophysics (486 citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Neurology (569 citations). Chunming Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John C. Gore, Changfeng Gui, Zhaohua Ding, Chiu‐Yen Kao, Martin Fox, Chenyang Xu, M.D. Fox, Chenyang Xu, Li Wang and Rui Huang. Their work appears in journals such as Magnetic Resonance Imaging, Current Medical Research and Opinion, International Journal of Molecular Sciences, Forests and Ecotoxicology and Environmental Safety.
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.