Xing An
Impact in
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- Cell Image Analysis Techniques
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Digital Imaging for Blood Diseases 4
- Medical Image Segmentation Techniques 2
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- AI in cancer detection 5
- Co-authors
- Di Lin (1 shared paper)Jian Zhang (1 shared paper)Ruijun Guo (1 shared paper)Qian Zhou (1 shared paper)Tsutomu Yoshinaga (1 shared paper)Celimuge Wu (2 shared papers)Yusheng Ji (2 shared papers)Yalin Wang (4 shared papers)
- Journals
- Parasitology (1 paper)Soil Use and Management (1 paper)Pattern Recognition Letters (1 paper)Electrochimica Acta (1 paper)Geotechnical and Geological Engineering (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xing An
21 papers receiving 253 citations
Peers
Comparison fields: 5 of 82
- Biophysics 20
- Hepatology 20
- Computer Vision and Pattern Recognition 54
- Radiology, Nuclear Medicine and Imaging 41
- Epidemiology 52
Countries citing papers authored by Xing An
This map shows the geographic impact of Xing An'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 Xing An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing An more than expected).
Fields of papers citing papers by Xing An
This network shows the impact of papers produced by Xing An. 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 Xing An. The network helps show where Xing An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing An, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2023 | 54 | |
| 3 | 2013 | 38 | |
| 4 | 2013 | 31 | |
| 5 | 2012 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2024 | 9 | |
| 8 | Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen. | 2012 | 7 |
| 9 | 2013 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2012 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2008 | 2 | |
| 16 | リチウムイオン電池用の高性能アノード材料としてのマグネシウム熱反応による多孔質シリコン【Powered by NICT】 | 2017 | 1 |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2022 | 1 |
About Xing An
Xing An is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics and Civil and Structural Engineering, having authored 27 papers that have together received 262 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers), Cell Image Analysis Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers), Neonatal and fetal brain pathology (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Biophysics (20 citations), Hepatology (20 citations), Computer Vision and Pattern Recognition (54 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Epidemiology (52 citations). Xing An has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Di Lin, Jian Zhang, Ruijun Guo, Qian Zhou, Tsutomu Yoshinaga, Celimuge Wu, Yusheng Ji, Yalin Wang, Zhiwen Liu and Ashok Panigrahy. Their work appears in journals such as Parasitology, Soil Use and Management, Pattern Recognition Letters, Electrochimica Acta and Geotechnical and Geological Engineering.
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.