Tinghui Wu
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Health Informatics top 10%
Papers in
- Oncology 12
- Colorectal Cancer Treatments and Studies 6
- Pancreatic and Hepatic Oncology Research 5
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- Lung Cancer Treatments and Mutations 6
- Co-authors
- Ie‐Ming Shih (1 shared paper)Robert J. Kurman (1 shared paper)Kala Visvanathan (1 shared paper)Weichung Wang (7 shared papers)Ming‐Shiang Wu (5 shared papers)Wei‐Chih Liao (6 shared papers)Po‐Ting Chen (6 shared papers)Holger R. Roth (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Gastroenterology (2 papers)Expert Review of Respiratory Medicine (1 paper)The CRISPR Journal (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tinghui Wu
23 papers receiving 576 citations
Peers
Comparison fields: 5 of 83
- Reproductive Medicine 109
- Health Informatics 16
- Oncology 234
- Radiology, Nuclear Medicine and Imaging 179
- Cancer Research 99
Countries citing papers authored by Tinghui Wu
This map shows the geographic impact of Tinghui 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 Tinghui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tinghui Wu more than expected).
Fields of papers citing papers by Tinghui Wu
This network shows the impact of papers produced by Tinghui 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 Tinghui Wu. The network helps show where Tinghui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tinghui 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 155 | |
| 2 | 2020 | 139 | |
| 3 | 2022 | 82 | |
| 4 | 2021 | 38 | |
| 5 | 1998 | 28 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2016 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 1997 | 13 | |
| 12 | 2018 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2017 | 2 |
About Tinghui Wu
Tinghui Wu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Artificial Intelligence, having authored 28 papers that have together received 589 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (6 papers), Lung Cancer Treatments and Mutations (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Reproductive Medicine (109 citations), Health Informatics (16 citations), Oncology (234 citations), Radiology, Nuclear Medicine and Imaging (179 citations) and Cancer Research (99 citations). Tinghui Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ie‐Ming Shih, Robert J. Kurman, Kala Visvanathan, Weichung Wang, Ming‐Shiang Wu, Wei‐Chih Liao, Po‐Ting Chen, Holger R. Roth, Kao‐Lang Liu and Yu‐Hsiang Tsai. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology, Expert Review of Respiratory Medicine, The CRISPR Journal and Journal of Thoracic Oncology.
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.