Peng‐Jen Chen
Impact in
- Gastroenterology top 5%
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- AI in cancer detection
Papers in
-
- Gastric Cancer Management and Outcomes 11
- Metastasis and carcinoma case studies 5
-
- Natural Language Processing Techniques 14
- Speech Recognition and Synthesis 9
- Topic Modeling 7
- Co-authors
- Tsai‐Yuan Hsieh (25 shared papers)Henry Horng‐Shing Lu (2 shared papers)Meng-Chiung Lin (2 shared papers)Vincent S. Tseng (1 shared paper)Jung-Chun Lin (2 shared papers)Wei‐Kuo Chang (24 shared papers)Heng-Cheng Chu (12 shared papers)Yu‐Lueng Shih (19 shared papers)
- Journals
- Gastrointestinal Endoscopy (5 papers)Gastroenterology (4 papers)Physical review. B. (2 papers)Medicine (2 papers)The American Journal of Gastroenterology (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Peng‐Jen Chen
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Gastroenterology 109
- Artificial Intelligence 465
- Oncology 303
- Pulmonary and Respiratory Medicine 301
- Health Informatics 13
Countries citing papers authored by Peng‐Jen Chen
This map shows the geographic impact of Peng‐Jen 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 Peng‐Jen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng‐Jen Chen more than expected).
Fields of papers citing papers by Peng‐Jen Chen
This network shows the impact of papers produced by Peng‐Jen 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 Peng‐Jen Chen. The network helps show where Peng‐Jen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng‐Jen 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 286 | |
| 2 | 2022 | 108 | |
| 3 | 2018 | 84 | |
| 4 | 2021 | 66 | |
| 5 | 2022 | 63 | |
| 6 | 2022 | 59 | |
| 7 | 2010 | 57 | |
| 8 | 2007 | 53 | |
| 9 | 2007 | 46 | |
| 10 | 2006 | 45 | |
| 11 | 2016 | 41 | |
| 12 | 2008 | 41 | |
| 13 | 2012 | 37 | |
| 14 | 2023 | 33 | |
| 15 | 2020 | 29 | |
| 16 | 2021 | 26 | |
| 17 | 2022 | 25 | |
| 18 | 2012 | 25 | |
| 19 | 2009 | 21 | |
| 20 | 2023 | 18 |
About Peng‐Jen Chen
Peng‐Jen Chen is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Surgery, Gastroenterology and Oncology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Gastric Cancer Management and Outcomes (11 papers), Speech Recognition and Synthesis (9 papers), Topic Modeling (7 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Esophageal and GI Pathology (6 papers), Gastrointestinal disorders and treatments (5 papers) and Metastasis and carcinoma case studies (5 papers). The work is most often cited by research in Gastroenterology (109 citations), Artificial Intelligence (465 citations), Oncology (303 citations), Pulmonary and Respiratory Medicine (301 citations) and Health Informatics (13 citations). Peng‐Jen Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tsai‐Yuan Hsieh, Henry Horng‐Shing Lu, Meng-Chiung Lin, Vincent S. Tseng, Jung-Chun Lin, Wei‐Kuo Chang, Heng-Cheng Chu, Yu‐Lueng Shih, Vishrav Chaudhary and Naman Goyal. Their work appears in journals such as Gastrointestinal Endoscopy, Gastroenterology, Physical review. B., Medicine and The American Journal of Gastroenterology.
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.