Chao Li
Impact in
-
- Human Pose and Action Recognition
- Electrochemistry top 2%
- Electrochemical Analysis and Applications
Papers in
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- Advanced Neural Network Applications 9
- Medical Image Segmentation Techniques 7
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- Radiomics and Machine Learning in Medical Imaging 16
- Advanced Neuroimaging Techniques and Applications 15
- MRI in cancer diagnosis 8
- Co-authors
- Qiaoyong Zhong (2 shared papers)Di Xie (2 shared papers)Shiliang Pu (2 shared papers)Stephen J. Price (23 shared papers)Huiming Tang (1 shared paper)Fanfan Ye (1 shared paper)Pavel Novák (2 shared papers)Yuri E. Korchev (2 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Neuro-Oncology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)European Radiology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Chao Li
143 papers receiving 3.5k citations
Chao Li's Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 1.2k
- Electrochemistry 332
- Bioengineering 231
- Genetics 323
- Human-Computer Interaction 174
Countries citing papers authored by Chao Li
This map shows the geographic impact of Chao 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 Chao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Li more than expected).
Fields of papers citing papers by Chao Li
This network shows the impact of papers produced by Chao 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 Chao Li. The network helps show where Chao Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nanoscale live-cell imaging using hopping probe ion conductance microscopy Hit paper breakdown → | 2009 | 431 |
| 2 | 2017 | 251 | |
| 3 | 2020 | 242 | |
| 4 | 2019 | 189 | |
| 5 | 2019 | 145 | |
| 6 | 2019 | 135 | |
| 7 | 2018 | 133 | |
| 8 | 2009 | 109 | |
| 9 | 2008 | 108 | |
| 10 | 2019 | 73 | |
| 11 | 2021 | 70 | |
| 12 | 2018 | 66 | |
| 13 | 2021 | 64 | |
| 14 | 2006 | 60 | |
| 15 | 2021 | 59 | |
| 16 | 2005 | 59 | |
| 17 | 2019 | 58 | |
| 18 | 2023 | 48 | |
| 19 | 2018 | 46 | |
| 20 | 2019 | 45 |
About Chao Li
Chao Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Genetics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 155 papers that have together received 3.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Advanced Neural Network Applications (9 papers), Complex Network Analysis Techniques (9 papers), MRI in cancer diagnosis (8 papers), Opinion Dynamics and Social Influence (8 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Electrochemistry (332 citations), Bioengineering (231 citations), Genetics (323 citations) and Human-Computer Interaction (174 citations). Chao Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qiaoyong Zhong, Di Xie, Shiliang Pu, Stephen J. Price, Huiming Tang, Fanfan Ye, Pavel Novák, Yuri E. Korchev, David Klenerman and Gregory I. Frolenkov. Their work appears in journals such as Frontiers in Oncology, Neuro-Oncology, Journal of Magnetic Resonance Imaging, European Radiology and Scientific Reports.
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.