Xiangjun Wu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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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 7
- Cardiac Imaging and Diagnostics 3
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- Characterization and Applications of Magnetic Nanoparticles 7
- Co-authors
- Jie Tian (15 shared papers)Hui Hui (11 shared papers)Bingxi He (4 shared papers)Shuyong Tan (4 shared papers)Jianqing Jiang (4 shared papers)Xuhai Zhang (4 shared papers)Feng Fang (4 shared papers)Liang Li (1 shared paper)
- Journals
- Medical Physics (2 papers)Applied Surface Science (2 papers)Journal of Advances in Modeling Earth Systems (2 papers)Physics in Medicine and Biology (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiangjun Wu
42 papers receiving 704 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 44
- Radiology, Nuclear Medicine and Imaging 285
- Otorhinolaryngology 38
- Mechanics of Materials 94
- Artificial Intelligence 122
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 201 | |
| 2 | 2022 | 52 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 35 | |
| 5 | 2010 | 35 | |
| 6 | 2021 | 34 | |
| 7 | 2019 | 32 | |
| 8 | 2010 | 31 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 22 | |
| 11 | 2011 | 20 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2002 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2023 | 9 | |
| 20 | 2019 | 9 |
About Xiangjun Wu
Xiangjun Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 717 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Geomagnetism and Paleomagnetism Studies (4 papers), Meteorological Phenomena and Simulations (4 papers), Metal and Thin Film Mechanics (4 papers), Climate variability and models (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Fire Detection and Safety Systems (3 papers). The work is most often cited by research in Health Informatics (44 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Otorhinolaryngology (38 citations), Mechanics of Materials (94 citations) and Artificial Intelligence (122 citations). Xiangjun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Jie Tian, Hui Hui, Bingxi He, Shuyong Tan, Jianqing Jiang, Xuhai Zhang, Feng Fang, Liang Li, Xin Yang and Li Wang. Their work appears in journals such as Medical Physics, Applied Surface Science, Journal of Advances in Modeling Earth Systems, Physics in Medicine and Biology and Frontiers in Oncology.
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.