Xiaosu Chen
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Cancer Genomics and Diagnostics
Papers in
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- Network Security and Intrusion Detection 8
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- Advanced Steganography and Watermarking Techniques 5
- Handwritten Text Recognition Techniques 4
- Image Processing and 3D Reconstruction 3
- Co-authors
- Lin Lin (3 shared papers)Wenjie Xiong (1 shared paper)Yan Wang (1 shared paper)Yurong Tang (2 shared papers)Ting Yu (1 shared paper)Yonghui Li (3 shared papers)Li Yu (3 shared papers)Na Lv (3 shared papers)
- Journals
- Theranostics (2 papers)Clinical Cancer Research (1 paper)Applied Sciences (1 paper)Journal of Clinical Gastroenterology (1 paper)Experimental Hematology (1 paper)
- Partner nations
- ChinaNetherlandsUnited Kingdom
In The Last Decade
Xiaosu Chen
34 papers receiving 403 citations
Peers
Comparison fields: 5 of 108
- Hematology 93
- Cancer Research 54
- Biological Psychiatry 8
- Molecular Biology 185
- Signal Processing 24
Countries citing papers authored by Xiaosu Chen
This map shows the geographic impact of Xiaosu Chen'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 Xiaosu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosu Chen more than expected).
Fields of papers citing papers by Xiaosu Chen
This network shows the impact of papers produced by Xiaosu Chen. 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 Xiaosu Chen. The network helps show where Xiaosu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaosu Chen, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 75 | |
| 2 | 2020 | 65 | |
| 3 | 2020 | 42 | |
| 4 | 2021 | 30 | |
| 5 | 2018 | 28 | |
| 6 | 2021 | 17 | |
| 7 | 2014 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2016 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2010 | 10 | |
| 14 | 2014 | 7 | |
| 15 | 2007 | 7 | |
| 16 | 2010 | 6 | |
| 17 | 2007 | 6 | |
| 18 | 2009 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 5 |
About Xiaosu Chen
Xiaosu Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence and Information Systems, having authored 41 papers that have together received 420 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Handwritten Text Recognition Techniques (4 papers), Digital Rights Management and Security (3 papers), Image Processing and 3D Reconstruction (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (93 citations), Cancer Research (54 citations), Biological Psychiatry (8 citations), Molecular Biology (185 citations) and Signal Processing (24 citations). Xiaosu Chen has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Lin Lin, Wenjie Xiong, Yan Wang, Yurong Tang, Ting Yu, Yonghui Li, Li Yu, Na Lv, Qingyu Xu and Yan Li. Their work appears in journals such as Theranostics, Clinical Cancer Research, Applied Sciences, Journal of Clinical Gastroenterology and Experimental Hematology.
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.