Tiegong Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Pancreatic and Hepatic Oncology Research
Papers in
- Co-authors
- Chengwei Shao (18 shared papers)Luguang Chen (10 shared papers)Jianping Lu (9 shared papers)Yun Bian (13 shared papers)Chao Ma (4 shared papers)Bingdi Chen (3 shared papers)Wenjun Le (2 shared papers)Li Su (2 shared papers)
- Journals
- Abdominal Radiology (4 papers)European Radiology (3 papers)Cancer Imaging (2 papers)Annals of Surgical Oncology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Tiegong Wang
32 papers receiving 299 citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 96
- Oncology 94
- Pulmonary and Respiratory Medicine 104
- Health Informatics 4
- Internal Medicine 9
Countries citing papers authored by Tiegong Wang
This map shows the geographic impact of Tiegong 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 Tiegong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiegong Wang more than expected).
Fields of papers citing papers by Tiegong Wang
This network shows the impact of papers produced by Tiegong 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 Tiegong Wang. The network helps show where Tiegong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiegong 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 29 | |
| 2 | 2016 | 23 | |
| 3 | 2021 | 21 | |
| 4 | 2017 | 20 | |
| 5 | 2017 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2017 | 7 |
About Tiegong Wang
Tiegong Wang is a scholar working on Surgery, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology, having authored 38 papers that have together received 303 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Pancreatitis Pathology and Treatment (6 papers), Neuroendocrine Tumor Research Advances (5 papers), MRI in cancer diagnosis (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Renal cell carcinoma treatment (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Oncology (94 citations), Pulmonary and Respiratory Medicine (104 citations), Health Informatics (4 citations) and Internal Medicine (9 citations). Tiegong Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chengwei Shao, Luguang Chen, Jianping Lu, Yun Bian, Chao Ma, Bingdi Chen, Wenjun Le, Li Su, Bing Xu and Jianping Lu. Their work appears in journals such as Abdominal Radiology, European Radiology, Cancer Imaging, Annals of Surgical Oncology and Scientific Reports.
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.