Chen‐Te Wu
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
- Surgery 16
- Total Knee Arthroplasty Outcomes 5
- Hip disorders and treatments 4
- Shoulder Injury and Treatment 3
- Abdominal Trauma and Injuries 2
-
- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Hsing‐Chang Ni (7 shared papers)Yu‐Han Chang (2 shared papers)Chih‐Wei Wang (3 shared papers)Yu‐Yu Wu (3 shared papers)Shu‐Ju Tu (2 shared papers)Ying‐Zu Huang (3 shared papers)Chih-Chien Hu (1 shared paper)Chun‐Shin Chang (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Annals of Plastic Surgery (2 papers)Surgical Endoscopy (2 papers)NeuroImage Clinical (1 paper)Medicine (1 paper)
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Chen‐Te Wu
36 papers receiving 450 citations
Peers
Comparison fields: 5 of 77
- Neurology 91
- Health Informatics 6
- Psychiatry and Mental health 44
- Genetics 31
- Radiology, Nuclear Medicine and Imaging 62
Countries citing papers authored by Chen‐Te Wu
This map shows the geographic impact of Chen‐Te Wu'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 Chen‐Te Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Te Wu more than expected).
Fields of papers citing papers by Chen‐Te Wu
This network shows the impact of papers produced by Chen‐Te Wu. 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 Chen‐Te Wu. The network helps show where Chen‐Te Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Te Wu, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2011 | 48 | |
| 3 | 2018 | 40 | |
| 4 | 2017 | 36 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2014 | 18 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 12 | |
| 13 | 2018 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2007 | 6 | |
| 19 | 2013 | 6 | |
| 20 | 2021 | 5 |
About Chen‐Te Wu
Chen‐Te Wu is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience, having authored 41 papers that have together received 463 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (6 papers), Total Knee Arthroplasty Outcomes (5 papers), Hip disorders and treatments (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Shoulder Injury and Treatment (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Abdominal Trauma and Injuries (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (91 citations), Health Informatics (6 citations), Psychiatry and Mental health (44 citations), Genetics (31 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). Chen‐Te Wu has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Hsing‐Chang Ni, Yu‐Han Chang, Chih‐Wei Wang, Yu‐Yu Wu, Shu‐Ju Tu, Ying‐Zu Huang, Chih-Chien Hu, Chun‐Shin Chang, Cheng‐Fong Chen and Susan Shur‐Fen Gau. Their work appears in journals such as International Journal of Molecular Sciences, Annals of Plastic Surgery, Surgical Endoscopy, NeuroImage Clinical and 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.