Chong Chen
Impact in
- Health Informatics top 0.5%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 3
Chong Chen
12 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Health Informatics 234
- Radiology, Nuclear Medicine and Imaging 2.4k
- Infectious Diseases 2.0k
- Critical Care and Intensive Care Medicine 478
- Neurology 463
Countries citing papers authored by Chong Chen
This map shows the geographic impact of Chong Chen'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 Chong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Chen more than expected).
Fields of papers citing papers by Chong Chen
This network shows the impact of papers produced by Chong Chen. 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 Chong Chen. The network helps show where Chong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong Chen, 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 | 2 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 20 | |
| 10 | Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases Hit paper breakdown → | 2020 | 3834 |
| 11 | 2020 | 89 | |
| 12 | 2018 | 10 |
About Chong Chen
Chong Chen is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Infectious Diseases and Neurology, having authored 12 papers that have together received 4.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 diagnosis using AI (3 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Respiratory viral infections research (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Health Informatics (234 citations), Radiology, Nuclear Medicine and Imaging (2.4k citations), Infectious Diseases (2.0k citations), Critical Care and Intensive Care Medicine (478 citations) and Neurology (463 citations). Chong Chen has collaborated with scholars based in China and Netherlands. Frequent co-authors include Liming Xia, Tao Ai, Qian Tao, Zhenlu Yang, Hongyan Hou, Wenzhi Lv, Chenao Zhan, Ziyong Sun, Lu Huang and Qiongjie Hu. Their work appears in journals such as European Journal of Radiology, Frontiers in Medicine, Urology, Frontiers in Oncology and Radiology.
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.