Weilan Wu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Lung Cancer Diagnosis and Treatment 2
- Aortic aneurysm repair treatments 2
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- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Ming Li (3 shared papers)Wei Zhao (2 shared papers)Yingli Sun (2 shared papers)Liang Jin (2 shared papers)Yanqing Hua (2 shared papers)Bingbing Ni (1 shared paper)Peijun Wang (1 shared paper)Cheng Li (1 shared paper)
- Journals
- Molecular Imaging and Biology (1 paper)Investigative Radiology (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)International Journal of Cardiology (1 paper)Thrombosis and Haemostasis (1 paper)
- Partner nations
- China
In The Last Decade
Weilan Wu
9 papers receiving 381 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 232
- Health Informatics 11
- Pulmonary and Respiratory Medicine 234
- Cancer Research 52
- Internal Medicine 9
Countries citing papers authored by Weilan Wu
This map shows the geographic impact of Weilan 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 Weilan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weilan Wu more than expected).
Fields of papers citing papers by Weilan Wu
This network shows the impact of papers produced by Weilan 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 Weilan Wu. The network helps show where Weilan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weilan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 161 | |
| 2 | 2020 | 98 | |
| 3 | 2019 | 63 | |
| 4 | 2013 | 30 | |
| 5 | 2016 | 14 | |
| 6 | 2019 | 11 | |
| 7 | 2012 | 6 | |
| 8 | 2019 | 3 | |
| 9 | [Effects of high and low shear stress on vascular remodeling and endothelial vascular cell adhesion molecular-1 expression in mouse abdominal aorta]. | 2011 | 1 |
About Weilan Wu
Weilan Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 387 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Protease and Inhibitor Mechanisms (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Aortic aneurysm repair treatments (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (232 citations), Health Informatics (11 citations), Pulmonary and Respiratory Medicine (234 citations), Cancer Research (52 citations) and Internal Medicine (9 citations). Weilan Wu has collaborated with scholars based in China. Frequent co-authors include Ming Li, Wei Zhao, Yingli Sun, Liang Jin, Yanqing Hua, Bingbing Ni, Peijun Wang, Cheng Li, Zhiming Yang and Pan Gao. Their work appears in journals such as Molecular Imaging and Biology, Investigative Radiology, Journal of Molecular and Cellular Cardiology, International Journal of Cardiology and Thrombosis and Haemostasis.
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.