Qianlan Chen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Multiple Sclerosis Research Studies 3
- Genetic factors in colorectal cancer 1
- Co-authors
- Weiwei Chen (5 shared papers)Cong Fang (2 shared papers)Liming Xia (2 shared papers)Chunhua Zhou (2 shared papers)Shi Gong (2 shared papers)Lixin Qin (2 shared papers)Xudong Xie (2 shared papers)Yu Zhou (2 shared papers)
- Journals
- Multiple Sclerosis and Related Disorders (2 papers)Frontiers in Public Health (2 papers)Scientific Reports (1 paper)Frontiers in Psychiatry (1 paper)Journal of Applied Polymer Science (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qianlan Chen
14 papers receiving 203 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 29
- Radiology, Nuclear Medicine and Imaging 99
- Health Information Management 16
- Infectious Diseases 38
- Neurology 28
Countries citing papers authored by Qianlan Chen
This map shows the geographic impact of Qianlan 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 Qianlan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianlan Chen more than expected).
Fields of papers citing papers by Qianlan Chen
This network shows the impact of papers produced by Qianlan 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 Qianlan Chen. The network helps show where Qianlan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qianlan 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 | 2020 | 70 | |
| 2 | 2021 | 57 | |
| 3 | 2011 | 18 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 9 | |
| 7 | 2020 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Qianlan Chen
Qianlan Chen is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 206 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Multiple Sclerosis Research Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Nerve injury and regeneration (1 paper), Genetic factors in colorectal cancer (1 paper), Vehicle emissions and performance (1 paper) and Urban and Freight Transport Logistics (1 paper). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Health Information Management (16 citations), Infectious Diseases (38 citations) and Neurology (28 citations). Qianlan Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weiwei Chen, Cong Fang, Liming Xia, Chunhua Zhou, Shi Gong, Lixin Qin, Xudong Xie, Yu Zhou, Song Bai and Tian Xia. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Frontiers in Public Health, Scientific Reports, Frontiers in Psychiatry and Journal of Applied Polymer Science.
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.