Tingwei Wang
Impact in
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- Tryptophan and brain disorders
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
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- Lung Cancer Diagnosis and Treatment 4
- Brain Metastases and Treatment 3
- Aortic aneurysm repair treatments 3
- Co-authors
- Yu‐Te Wu (20 shared papers)Jian Ji (4 shared papers)Hwa‐Yen Chiu (8 shared papers)Jun Wang (2 shared papers)Yuh‐Min Chen (9 shared papers)Chia‐Feng Lu (8 shared papers)Heng‐Sheng Chao (9 shared papers)Hang Xiao (2 shared papers)
- Journals
- Cancers (5 papers)Cancer Imaging (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Frontiers in Neurology (2 papers)Journal of Visual Communication and Image Representation (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Tingwei Wang
54 papers receiving 575 citations
Peers
Comparison fields: 5 of 133
- Biological Psychiatry 17
- Health Informatics 7
- Neurology 29
- Health, Toxicology and Mutagenesis 50
- Radiology, Nuclear Medicine and Imaging 76
Countries citing papers authored by Tingwei Wang
This map shows the geographic impact of Tingwei Wang'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 Tingwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingwei Wang more than expected).
Fields of papers citing papers by Tingwei Wang
This network shows the impact of papers produced by Tingwei Wang. 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 Tingwei Wang. The network helps show where Tingwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingwei Wang, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2022 | 35 | |
| 3 | 2021 | 29 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2023 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2016 | 15 | |
| 17 | 2024 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2024 | 13 | |
| 20 | 2024 | 12 |
About Tingwei Wang
Tingwei Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Molecular Biology and Epidemiology, having authored 62 papers that have together received 586 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Diagnosis and Treatment (4 papers), Brain Metastases and Treatment (3 papers), Head and Neck Cancer Studies (3 papers), Aortic aneurysm repair treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Human Pose and Action Recognition (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Biological Psychiatry (17 citations), Health Informatics (7 citations), Neurology (29 citations), Health, Toxicology and Mutagenesis (50 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). Tingwei Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yu‐Te Wu, Jian Ji, Hwa‐Yen Chiu, Jun Wang, Yuh‐Min Chen, Chia‐Feng Lu, Heng‐Sheng Chao, Hang Xiao, Jia-Sheng Wang and Xiulan Sun. Their work appears in journals such as Cancers, Cancer Imaging, International Journal of Radiation Oncology*Biology*Physics, Frontiers in Neurology and Journal of Visual Communication and Image Representation.
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.