Da Xing
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Advanced Neuroimaging Techniques and Applications 4
- MRI in cancer diagnosis 3
- Advanced MRI Techniques and Applications 3
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- Functional Brain Connectivity Studies 1
- Co-authors
- Christopher Huang (4 shared papers)Laurance D. Hall (4 shared papers)Nikolaos Papadakis (4 shared papers)T. Adrian Carpenter (3 shared papers)Gavin C. Houston (2 shared papers)Michael F. James (2 shared papers)J.M. Smith (2 shared papers)Martin Smith (1 shared paper)
- Journals
- Magnetic Resonance Imaging (2 papers)The Journal of Physiology (1 paper)Journal of Magnetic Resonance (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Da Xing
5 papers receiving 534 citations
Peers
Comparison fields: 5 of 54
- Computational Mathematics 32
- Radiology, Nuclear Medicine and Imaging 440
- Orthopedics and Sports Medicine 76
- Psychiatry and Mental health 64
- Pediatrics, Perinatology and Child Health 75
Countries citing papers authored by Da Xing
This map shows the geographic impact of Da Xing'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 Da Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Xing more than expected).
Fields of papers citing papers by Da Xing
This network shows the impact of papers produced by Da Xing. 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 Da Xing. The network helps show where Da Xing may publish in the future.
Co-authors
The 15 scholars most cited alongside Da Xing, 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 | 1999 | 174 | |
| 2 | 1997 | 156 | |
| 3 | 1999 | 149 | |
| 4 | 1999 | 63 | |
| 5 | [Study of the insoluble remainder of human gallstones by scanning electron microscope and Fourier transform infrared spectrum]. | 2002 | 2 |
About Da Xing
Da Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Rheumatology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 544 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), MRI in cancer diagnosis (3 papers), Advanced MRI Techniques and Applications (3 papers), Functional Brain Connectivity Studies (1 paper) and Pelvic floor disorders treatments (1 paper). The work is most often cited by research in Computational Mathematics (32 citations), Radiology, Nuclear Medicine and Imaging (440 citations), Orthopedics and Sports Medicine (76 citations), Psychiatry and Mental health (64 citations) and Pediatrics, Perinatology and Child Health (75 citations). Da Xing has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Christopher Huang, Laurance D. Hall, Nikolaos Papadakis, T. Adrian Carpenter, Gavin C. Houston, Michael F. James, J.M. Smith, Martin Smith, Andrew A. Parsons and Emma Williams. Their work appears in journals such as Magnetic Resonance Imaging, The Journal of Physiology, Journal of Magnetic Resonance and PubMed.
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.