Ching-Yi Lee
Impact in
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- Traumatic Brain Injury and Neurovascular Disturbances
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- Protease and Inhibitor Mechanisms
Papers in
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- AI in cancer detection 2
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- Traumatic Brain Injury and Neurovascular Disturbances 2
- Co-authors
- Chun‐Ting Chen (6 shared papers)Chieh‐Tsai Wu (4 shared papers)Shih‐Tseng Lee (7 shared papers)Shun‐Fa Yang (2 shared papers)Kuo‐Chen Wei (2 shared papers)Shiu‐Jau Chen (3 shared papers)Ming‐Chih Chou (1 shared paper)Chung‐Min Yeh (1 shared paper)
- Journals
- World Neurosurgery (5 papers)Anticancer Research (2 papers)Acta Neurochirurgica (2 papers)BMC Medical Education (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Ching-Yi Lee
32 papers receiving 433 citations
Peers
Comparison fields: 5 of 89
- Neurology 58
- Cancer Research 57
- Health Informatics 3
- Endocrinology, Diabetes and Metabolism 30
- Health Information Management 8
Countries citing papers authored by Ching-Yi Lee
This map shows the geographic impact of Ching-Yi Lee'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 Ching-Yi Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Yi Lee more than expected).
Fields of papers citing papers by Ching-Yi Lee
This network shows the impact of papers produced by Ching-Yi Lee. 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 Ching-Yi Lee. The network helps show where Ching-Yi Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching-Yi Lee, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2006 | 49 | |
| 3 | 2021 | 43 | |
| 4 | 2009 | 37 | |
| 5 | 2022 | 32 | |
| 6 | 2016 | 23 | |
| 7 | 1995 | 22 | |
| 8 | 2006 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2008 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2025 | 10 | |
| 18 | 2018 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 5 |
About Ching-Yi Lee
Ching-Yi Lee is a scholar working on Artificial Intelligence, Neurology, Oncology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 456 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Spinal Dysraphism and Malformations (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Interconnection Networks and Systems (2 papers), AI in cancer detection (2 papers), Pain Management and Treatment (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Neurology (58 citations), Cancer Research (57 citations), Health Informatics (3 citations), Endocrinology, Diabetes and Metabolism (30 citations) and Health Information Management (8 citations). Ching-Yi Lee has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Chun‐Ting Chen, Chieh‐Tsai Wu, Shih‐Tseng Lee, Shun‐Fa Yang, Kuo‐Chen Wei, Shiu‐Jau Chen, Ming‐Chih Chou, Chung‐Min Yeh, Yih‐Shou Hsieh and Po‐Hsun Tu. Their work appears in journals such as World Neurosurgery, Anticancer Research, Acta Neurochirurgica, BMC Medical Education and Clinica Chimica Acta.
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.