Po‐Ting Chen
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
- Co-authors
- Kao‐Lang Liu (19 shared papers)Weichung Wang (9 shared papers)Wei‐Chih Liao (9 shared papers)Ming‐Shiang Wu (7 shared papers)Tinghui Wu (6 shared papers)Holger R. Roth (2 shared papers)Yu‐Hsiang Tsai (1 shared paper)Ya‐Hsiang Tai (3 shared papers)
- Journals
- Scientific Reports (3 papers)Gastroenterology (3 papers)IEEE Transactions on Device and Materials Reliability (2 papers)Archives of Physical Medicine and Rehabilitation (2 papers)Endocrine Connections (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Po‐Ting Chen
33 papers receiving 459 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 16
- Radiology, Nuclear Medicine and Imaging 211
- Oncology 198
- Artificial Intelligence 152
- Neurology 32
Countries citing papers authored by Po‐Ting Chen
This map shows the geographic impact of Po‐Ting 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 Po‐Ting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Ting Chen more than expected).
Fields of papers citing papers by Po‐Ting Chen
This network shows the impact of papers produced by Po‐Ting 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 Po‐Ting Chen. The network helps show where Po‐Ting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Po‐Ting 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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2022 | 82 | |
| 3 | 2021 | 36 | |
| 4 | 2016 | 35 | |
| 5 | 2010 | 18 | |
| 6 | 2009 | 16 | |
| 7 | 2016 | 12 | |
| 8 | 2009 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2011 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2018 | 5 |
About Po‐Ting Chen
Po‐Ting Chen is a scholar working on Surgery, Oncology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Electrical and Electronic Engineering, having authored 39 papers that have together received 467 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Hormonal Regulation and Hypertension (5 papers), Adrenal and Paraganglionic Tumors (5 papers), AI in cancer detection (4 papers), Pancreatitis Pathology and Treatment (3 papers), Stroke Rehabilitation and Recovery (3 papers) and Adrenal Hormones and Disorders (3 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (211 citations), Oncology (198 citations), Artificial Intelligence (152 citations) and Neurology (32 citations). Po‐Ting Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Kao‐Lang Liu, Weichung Wang, Wei‐Chih Liao, Ming‐Shiang Wu, Tinghui Wu, Holger R. Roth, Yu‐Hsiang Tsai, Ya‐Hsiang Tai, Shih‐Che Huang and Rita P.‐Y. Chen. Their work appears in journals such as Scientific Reports, Gastroenterology, IEEE Transactions on Device and Materials Reliability, Archives of Physical Medicine and Rehabilitation and Endocrine Connections.
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.