Yen‐Hao Chen
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
- Co-authors
- Shau-Hsuan Li (36 shared papers)Hung‐I Lu (31 shared papers)Hung-yi Lee (2 shared papers)Yu‐Ming Wang (21 shared papers)Po-Han Chi (1 shared paper)Shang-Wen Li (1 shared paper)Tsung-Han Wu (1 shared paper)Ming-Yen Tsai (6 shared papers)
- Journals
- Cancers (6 papers)BMC Cancer (5 papers)PLoS ONE (4 papers)Cancer Management and Research (4 papers)PeerJ (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yen‐Hao Chen
75 papers receiving 998 citations
Peers
Comparison fields: 5 of 123
- Signal Processing 99
- Complementary and alternative medicine 50
- Oncology 142
- Otorhinolaryngology 21
- Orthopedics and Sports Medicine 41
Countries citing papers authored by Yen‐Hao Chen
This map shows the geographic impact of Yen‐Hao 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 Yen‐Hao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Hao Chen more than expected).
Fields of papers citing papers by Yen‐Hao Chen
This network shows the impact of papers produced by Yen‐Hao 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 Yen‐Hao Chen. The network helps show where Yen‐Hao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen‐Hao 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 120 | |
| 2 | 1997 | 82 | |
| 3 | 2012 | 58 | |
| 4 | 2020 | 51 | |
| 5 | 2014 | 43 | |
| 6 | 2020 | 37 | |
| 7 | 2006 | 35 | |
| 8 | 2016 | 34 | |
| 9 | 2006 | 31 | |
| 10 | 2020 | 29 | |
| 11 | 2017 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2002 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2009 | 16 | |
| 20 | 2014 | 14 |
About Yen‐Hao Chen
Yen‐Hao Chen is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Hepatology and Molecular Biology, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Esophageal and GI Pathology (6 papers), Gastric Cancer Management and Outcomes (6 papers), Head and Neck Cancer Studies (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Signal Processing (99 citations), Complementary and alternative medicine (50 citations), Oncology (142 citations), Otorhinolaryngology (21 citations) and Orthopedics and Sports Medicine (41 citations). Yen‐Hao Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shau-Hsuan Li, Hung‐I Lu, Hung-yi Lee, Yu‐Ming Wang, Po-Han Chi, Shang-Wen Li, Tsung-Han Wu, Ming-Yen Tsai, Kun‐Ming Rau and Chien-Ting Liu. Their work appears in journals such as Cancers, BMC Cancer, PLoS ONE, Cancer Management and Research and PeerJ.
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.