Wei Wang
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hepatology 70
- Hepatocellular Carcinoma Treatment and Prognosis 63
-
- Radiomics and Machine Learning in Medical Imaging 36
- Co-authors
- Xiao-yan Xie (93 shared papers)Ming‐De Lu (87 shared papers)Ming Kuang (48 shared papers)Li‐Da Chen (58 shared papers)Ming Tong Xu (24 shared papers)Shi‐Ting Feng (22 shared papers)Yang Huang (36 shared papers)Jinyu Liang (17 shared papers)
- Journals
- European Radiology (20 papers)Frontiers in Oncology (18 papers)Medicine (16 papers)Radiology (12 papers)Scientific Reports (12 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Wang
630 papers receiving 13.7k citations
Wei Wang's Hit Papers
Peers
Comparison fields: 5 of 132
- Hepatology 1.0k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Health Informatics 140
- Cancer Research 755
- Oncology 739
Countries citing papers authored by Wei Wang
This map shows the geographic impact of Wei 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 Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).
Fields of papers citing papers by Wei Wang
This network shows the impact of papers produced by Wei 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 Wei Wang. The network helps show where Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 670 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 331 | |
| 2 | Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study Hit paper breakdown → | 2021 | 271 |
| 3 | 2005 | 205 | |
| 4 | 2015 | 189 | |
| 5 | 2014 | 186 | |
| 6 | 2011 | 177 | |
| 7 | 2013 | 173 | |
| 8 | 2019 | 170 | |
| 9 | 2018 | 162 | |
| 10 | 2018 | 155 | |
| 11 | 2019 | 150 | |
| 12 | 2019 | 144 | |
| 13 | 2017 | 142 | |
| 14 | 2018 | 142 | |
| 15 | 2022 | 130 | |
| 16 | 2003 | 128 | |
| 17 | Multifunctional AIE Nanosphere-Based “Nanobomb” for Trimodal Imaging-Guided Photothermal/Photodynamic/Pharmacological Therapy of Drug-Resistant Bacterial Infections Hit paper breakdown → | 2023 | 107 |
| 18 | 2018 | 104 | |
| 19 | 2011 | 103 | |
| 20 | 2013 | 102 |
About Wei Wang
Wei Wang is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 670 papers that have together received 14.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (63 papers), Radiomics and Machine Learning in Medical Imaging (36 papers), Liver Disease Diagnosis and Treatment (34 papers), MicroRNA in disease regulation (26 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers), Pancreatic and Hepatic Oncology Research (21 papers), Gastric Cancer Management and Outcomes (19 papers) and AI in cancer detection (13 papers). The work is most often cited by research in Hepatology (1.0k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Health Informatics (140 citations), Cancer Research (755 citations) and Oncology (739 citations). Wei Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao-yan Xie, Ming‐De Lu, Ming Kuang, Li‐Da Chen, Ming Tong Xu, Shi‐Ting Feng, Yang Huang, Jinyu Liang, Xin Li and Shuling Chen. Their work appears in journals such as European Radiology, Frontiers in Oncology, Medicine, Radiology 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.