Changjun Wu
Impact in
-
- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Ultrasound Imaging and Elastography 7
- Journals
- European Journal of Radiology (2 papers)PLoS ONE (2 papers)Molecular Biology Reports (1 paper)Scientific Reports (1 paper)Materials Science and Engineering C (1 paper)
- Partner nations
- China
In The Last Decade
Changjun Wu
27 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 465
- Hepatology 149
- Biomaterials 230
- Health Informatics 20
- Biomedical Engineering 368
Countries citing papers authored by Changjun Wu
This map shows the geographic impact of Changjun 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 Changjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjun Wu more than expected).
Fields of papers citing papers by Changjun Wu
This network shows the impact of papers produced by Changjun 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 Changjun Wu. The network helps show where Changjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changjun 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 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2020 | 10 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 9 | |
| 6 | Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study Hit paper breakdown → | 2018 | 380 |
| 7 | 2016 | 10 | |
| 8 | 2015 | 41 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 13 | |
| 11 | 2013 | 41 | |
| 12 | 2012 | 39 | |
| 13 | 2011 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 2 | |
| 16 | 2009 | 16 | |
| 17 | 2009 | 3 | |
| 18 | 2009 | 140 | |
| 19 | 2008 | 24 | |
| 20 | 2008 | 17 |
About Changjun Wu
Changjun Wu is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging, Mechanics of Materials, Hepatology and Biotechnology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Magnesium Alloys: Properties and Applications (3 papers), Ultrasound and Cavitation Phenomena (2 papers), Bone Tissue Engineering Materials (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (465 citations), Hepatology (149 citations), Biomaterials (230 citations), Health Informatics (20 citations) and Biomedical Engineering (368 citations). Changjun Wu has collaborated with scholars based in China. Frequent co-authors include Zhaohui Wen, Changsong Dai, Jie Tian, Changzhu Liu, Kun Wang, Rongqin Zheng, Liping Huang, Fankun Meng, Hong Ai and Liping Yin. Their work appears in journals such as European Journal of Radiology, PLoS ONE, Molecular Biology Reports, Scientific Reports and Materials Science and Engineering C.
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.