Te‐Chang Wu
Impact in
- Neurology top 10%
- Intracranial Aneurysms: Treatment and Complications
- Neurofibromatosis and Schwannoma Cases
-
- Glioma Diagnosis and Treatment
Papers in
- Co-authors
- Tai-Yuan Chen (17 shared papers)Ching‐Chung Ko (15 shared papers)Jeon‐Hor Chen (12 shared papers)Sher-Wei Lim (5 shared papers)Min‐Ying Su (7 shared papers)Yang Zhang (2 shared papers)Yu‐Ting Kuo (4 shared papers)Ho‐Joon Lee (1 shared paper)
- Journals
- Journal of Computer Assisted Tomography (3 papers)Clinical Neurology and Neurosurgery (2 papers)Neurological Sciences (2 papers)Medical Physics (1 paper)Neuroradiology (1 paper)
- Partner nations
- TaiwanUnited StatesThailand
In The Last Decade
Te‐Chang Wu
38 papers receiving 311 citations
Peers
Comparison fields: 5 of 55
- Neurology 89
- Genetics 42
- Health Informatics 5
- Epidemiology 93
- Rheumatology 33
Countries citing papers authored by Te‐Chang Wu
This map shows the geographic impact of Te‐Chang 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 Te‐Chang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Chang Wu more than expected).
Fields of papers citing papers by Te‐Chang Wu
This network shows the impact of papers produced by Te‐Chang 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 Te‐Chang Wu. The network helps show where Te‐Chang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Te‐Chang 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 | 2019 | 51 | |
| 2 | 2021 | 34 | |
| 3 | 2008 | 24 | |
| 4 | 2012 | 16 | |
| 5 | 2007 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2005 | 13 | |
| 8 | 2012 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 10 | |
| 11 | 2009 | 10 | |
| 12 | 2005 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2014 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2005 | 6 | |
| 18 | 2011 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 5 |
About Te‐Chang Wu
Te‐Chang Wu is a scholar working on Neurology, Surgery, Epidemiology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 316 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Meningioma and schwannoma management (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Moyamoya disease diagnosis and treatment (2 papers) and Cerebral Venous Sinus Thrombosis (2 papers). The work is most often cited by research in Neurology (89 citations), Genetics (42 citations), Health Informatics (5 citations), Epidemiology (93 citations) and Rheumatology (33 citations). Te‐Chang Wu has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Tai-Yuan Chen, Ching‐Chung Ko, Jeon‐Hor Chen, Sher-Wei Lim, Min‐Ying Su, Yang Zhang, Yu‐Ting Kuo, Ho‐Joon Lee, Tsung‐Ying Chen and Chien‐Jen Lin. Their work appears in journals such as Journal of Computer Assisted Tomography, Clinical Neurology and Neurosurgery, Neurological Sciences, Medical Physics and Neuroradiology.
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.