Ping Xuan
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 22
- Circular RNAs in diseases 19
- Machine Learning in Bioinformatics 13
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- Cancer-related molecular mechanisms research 30
- MicroRNA in disease regulation 22
- Co-authors
- Tiangang Zhang (64 shared papers)Victor Lesser (18 shared papers)Maozu Guo (10 shared papers)Yahong Guo (5 shared papers)Hui Cui (45 shared papers)Shlomo Zilberstein (3 shared papers)Jin Li (4 shared papers)Jian Ding (3 shared papers)
In The Last Decade
Ping Xuan
123 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 1.1k
- Computational Theory and Mathematics 460
- Molecular Biology 1.4k
- Artificial Intelligence 610
- Computer Networks and Communications 330
Countries citing papers authored by Ping Xuan
This map shows the geographic impact of Ping Xuan'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 Ping Xuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Xuan more than expected).
Fields of papers citing papers by Ping Xuan
This network shows the impact of papers produced by Ping Xuan. 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 Ping Xuan. The network helps show where Ping Xuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Xuan, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 294 | |
| 2 | 2015 | 175 | |
| 3 | 2001 | 159 | |
| 4 | 2004 | 123 | |
| 5 | 2019 | 110 | |
| 6 | 2002 | 103 | |
| 7 | 2013 | 84 | |
| 8 | 2019 | 78 | |
| 9 | 2013 | 74 | |
| 10 | The Intelligent Home Testbed | 2004 | 73 |
| 11 | 2019 | 69 | |
| 12 | 2011 | 69 | |
| 13 | 2002 | 67 | |
| 14 | 2019 | 58 | |
| 15 | 2011 | 55 | |
| 16 | 2017 | 53 | |
| 17 | 2020 | 52 | |
| 18 | 2020 | 50 | |
| 19 | 2002 | 50 | |
| 20 | 2020 | 47 |
About Ping Xuan
Ping Xuan is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 131 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (32 papers), Cancer-related molecular mechanisms research (30 papers), Bioinformatics and Genomic Networks (22 papers), MicroRNA in disease regulation (22 papers), Circular RNAs in diseases (19 papers), Multi-Agent Systems and Negotiation (16 papers), Machine Learning in Bioinformatics (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Cancer Research (1.1k citations), Computational Theory and Mathematics (460 citations), Molecular Biology (1.4k citations), Artificial Intelligence (610 citations) and Computer Networks and Communications (330 citations). Ping Xuan has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Tiangang Zhang, Victor Lesser, Maozu Guo, Yahong Guo, Hui Cui, Shlomo Zilberstein, Jin Li, Jian Ding, Yufei Huang and Ke Han. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Journal of Chemical Information and Modeling, IEEE/ACM Transactions on Computational Biology and Bioinformatics and International Journal of Molecular Sciences.
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.