Xiangjun Wu
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
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- Characterization and Applications of Magnetic Nanoparticles 7
- Microfluidic and Bio-sensing Technologies 3
- Co-authors
- Jie Tian (15 shared papers)Hui Hui (11 shared papers)Bingxi He (4 shared papers)Li Li (2 shared papers)Meng Niu (1 shared paper)Xuhai Zhang (4 shared papers)Xin Yang (1 shared paper)Jianqing Jiang (4 shared papers)
- Journals
- Journal of Advances in Modeling Earth Systems (2 papers)Computers in Biology and Medicine (2 papers)Medical Physics (2 papers)Physics in Medicine and Biology (2 papers)Applied Surface Science (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiangjun Wu
44 papers receiving 853 citations
Xiangjun Wu's Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 45
- Radiology, Nuclear Medicine and Imaging 311
- Otorhinolaryngology 39
- Neurology 58
- Mechanics of Materials 95
Countries citing papers authored by Xiangjun Wu
This map shows the geographic impact of Xiangjun 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 Xiangjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Wu more than expected).
Fields of papers citing papers by Xiangjun Wu
This network shows the impact of papers produced by Xiangjun 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 Xiangjun Wu. The network helps show where Xiangjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun 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
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 219 | |
| 2 | Intensive Ambulance-Delivered Blood-Pressure Reduction in Hyperacute Stroke Hit paper breakdown → | 2024 | 102 |
| 3 | 2022 | 55 | |
| 4 | 2019 | 40 | |
| 5 | 2010 | 36 | |
| 6 | 2020 | 36 | |
| 7 | 2021 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2010 | 32 | |
| 10 | 2019 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2011 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2002 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2010 | 14 | |
| 20 | 2023 | 12 |
About Xiangjun Wu
Xiangjun Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Atmospheric Science, Global and Planetary Change and Ocean Engineering, having authored 51 papers that have together received 871 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Geomagnetism and Paleomagnetism Studies (4 papers), Climate variability and models (4 papers), Metal and Thin Film Mechanics (4 papers), Meteorological Phenomena and Simulations (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Fire dynamics and safety research (3 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (311 citations), Otorhinolaryngology (39 citations), Neurology (58 citations) and Mechanics of Materials (95 citations). Xiangjun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Jie Tian, Hui Hui, Bingxi He, Li Li, Meng Niu, Xuhai Zhang, Xin Yang, Jianqing Jiang, Li Wang and Liang Li. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, Computers in Biology and Medicine, Medical Physics, Physics in Medicine and Biology and Applied Surface Science.
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.