Tian‐wu Chen
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Surgery 57
- Esophageal Cancer Research and Treatment 22
- Pancreatitis Pathology and Treatment 9
-
- Radiomics and Machine Learning in Medical Imaging 28
- MRI in cancer diagnosis 23
- Co-authors
- Zhi‐gang Yang (22 shared papers)Xiao Ming Zhang (39 shared papers)Rui Li (28 shared papers)Jiani Hu (17 shared papers)Huijiao Chen (2 shared papers)Yong Chen (7 shared papers)Jin Yao (5 shared papers)Qiling Wang (9 shared papers)
- Journals
- European Journal of Radiology (12 papers)European Radiology (6 papers)Frontiers in Oncology (6 papers)PLoS ONE (6 papers)Medicine (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tian‐wu Chen
104 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Hepatology 190
- Radiology, Nuclear Medicine and Imaging 516
- Surgery 562
- Gastroenterology 54
- Oncology 256
Countries citing papers authored by Tian‐wu Chen
This map shows the geographic impact of Tian‐wu Chen'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 Tian‐wu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian‐wu Chen more than expected).
Fields of papers citing papers by Tian‐wu Chen
This network shows the impact of papers produced by Tian‐wu Chen. 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 Tian‐wu Chen. The network helps show where Tian‐wu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tian‐wu Chen, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 79 | |
| 2 | 2018 | 63 | |
| 3 | 2006 | 58 | |
| 4 | 2019 | 43 | |
| 5 | 2013 | 35 | |
| 6 | 2010 | 32 | |
| 7 | 2021 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2009 | 25 | |
| 10 | 2019 | 25 | |
| 11 | 2021 | 23 | |
| 12 | 2009 | 22 | |
| 13 | 2015 | 21 | |
| 14 | 2021 | 20 | |
| 15 | 2010 | 20 | |
| 16 | 2012 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2008 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 2018 | 18 |
About Tian‐wu Chen
Tian‐wu Chen is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Epidemiology, Hepatology and Oncology, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Liver Disease Diagnosis and Treatment (26 papers), MRI in cancer diagnosis (23 papers), Esophageal Cancer Research and Treatment (22 papers), Pancreatic and Hepatic Oncology Research (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Liver Disease and Transplantation (16 papers) and Pancreatitis Pathology and Treatment (9 papers). The work is most often cited by research in Hepatology (190 citations), Radiology, Nuclear Medicine and Imaging (516 citations), Surgery (562 citations), Gastroenterology (54 citations) and Oncology (256 citations). Tian‐wu Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhi‐gang Yang, Xiao Ming Zhang, Rui Li, Jiani Hu, Huijiao Chen, Yong Chen, Jin Yao, Qiling Wang, Jing Ou and Changqiang Wu. Their work appears in journals such as European Journal of Radiology, European Radiology, Frontiers in Oncology, PLoS ONE 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.