Peng‐Jen Chen
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Surgery
- Gastroenterology top 2%
- Co-authors
- Tsai‐Yuan HsiehHenry Horng‐Shing LuWei‐Kuo ChangJung-Chun LinVincent S. TsengHeng-Cheng ChuYu‐Lueng ShihVishrav Chaudhary
- Topics
- Gastric Cancer Management and Outcomes (15 papers)Natural Language Processing Techniques (14 papers)Gastrointestinal Tumor Research and Treatment (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Peng‐Jen Chen
66 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 479
- Pulmonary and Respiratory Medicine 392
- Oncology 360
- Surgery 220
- Gastroenterology 179
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-authorship network of co-authors of Peng‐Jen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Peng‐Jen Chen. A scholar is included among the top collaborators of Peng‐Jen Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng‐Jen Chen. Peng‐Jen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 29 | |
| 12 | Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysisbreakdown → | 281 |
| 13 | The Development of the Fractional Power Matrix Toolbox in The Data Processing of GM (1,1) Model | 2 |
| 14 | 4 | |
| 15 | 36 | |
| 16 | 0 | |
| 17 | 21 | |
| 18 | 1 | |
| 19 | 53 | |
| 20 | 15 |
About Peng‐Jen Chen
Peng‐Jen Chen is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Hepatology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (15 papers), Natural Language Processing Techniques (14 papers) and Gastrointestinal Tumor Research and Treatment (10 papers). The work is most often cited by research in Gastroenterology (179 citations), Artificial Intelligence (479 citations) and Oncology (360 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, Wei‐Kuo Chang, Jung-Chun Lin, Vincent S. Tseng, Heng-Cheng Chu, Yu‐Lueng Shih, Vishrav Chaudhary, Jiatao Gu and Naman Goyal. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.