Hui Chen
- Health Informatics top 5%
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 12
- Virology top 5%
- HIV Research and Treatment 13
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- Radiomics and Machine Learning in Medical Imaging 10
- Neurology top 5%
- Vascular Malformations Diagnosis and Treatment 9
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- Vascular Malformations and Hemangiomas 16
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- Spectroscopy and Chemometric Analyses 11
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- Machine Learning in Healthcare 11
- Topic Modeling 9
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hui Chen
205 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 177
- Health Informatics 41
- Infectious Diseases 494
- Virology 102
- Radiology, Nuclear Medicine and Imaging 479
- Neurology 208
Countries citing papers authored by Hui Chen
This map shows the geographic impact of Hui 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 Hui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Chen more than expected).
Fields of papers citing papers by Hui Chen
This network shows the impact of papers produced by Hui 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 Hui Chen. The network helps show where Hui Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 5 | |
| 16 | [Case fatality rate in patients with pneumoconiosis in China: a meta-analysis]. | 2015 | 3 |
| 17 | [Comparison of safety and efficacy of laparoscopic versus abdominal radical hysterectomy in the treatment of patients with stage I a2-II b cervical cancer]. | 2015 | 2 |
| 18 | 2013 | 33 | |
| 19 | [Topical timolol in the treatment of periocular superficial infantile hemangiomas: a prospective study]. | 2012 | 15 |
| 20 | 2012 | 1 |
About Hui Chen
Hui Chen is a scholar working on Virology, Infectious Diseases, Health Information Management, Radiology, Nuclear Medicine and Imaging and Analytical Chemistry, having authored 220 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vascular Malformations and Hemangiomas (16 papers), HIV Research and Treatment (13 papers), HIV/AIDS Research and Interventions (12 papers), Spectroscopy and Chemometric Analyses (11 papers), Machine Learning in Healthcare (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Topic Modeling (9 papers) and Vascular Malformations Diagnosis and Treatment (9 papers). The work is most often cited by research in Health Informatics (41 citations), Infectious Diseases (494 citations), Virology (102 citations), Radiology, Nuclear Medicine and Imaging (479 citations) and Neurology (208 citations). Hui Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chao Tan, Zan Lin, Yan Xu, Xiaojie Huang, Kuan Zhang, Gang Ma, Ni Wang, Yunbo Jin, Xiaoxi Lin and Shuo Yan. Their work appears in journals such as BMC Infectious Diseases, Scientific Reports, Medicine, BMC Cardiovascular Disorders and Pediatric Dermatology.
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.