Shuigeng Zhou
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
-
- Bioinformatics and Genomic Networks 34
- Protein Structure and Dynamics 22
- Machine Learning in Bioinformatics 21
- Co-authors
- Jihong Guan (216 shared papers)Zhongzhi Zhang (39 shared papers)Xiaokui Xiao (11 shared papers)Hui Liu (11 shared papers)Qiwen Dong (9 shared papers)Zhanzhan Cheng (11 shared papers)Yufei Tao (6 shared papers)Shiliang Pu (6 shared papers)
In The Last Decade
Shuigeng Zhou
341 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 178
- Statistical and Nonlinear Physics 1.1k
- Signal Processing 726
- Computational Theory and Mathematics 1.0k
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.3k
Countries citing papers authored by Shuigeng Zhou
This map shows the geographic impact of Shuigeng Zhou'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 Shuigeng Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuigeng Zhou more than expected).
Fields of papers citing papers by Shuigeng Zhou
This network shows the impact of papers produced by Shuigeng Zhou. 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 Shuigeng Zhou. The network helps show where Shuigeng Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuigeng Zhou, 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 360 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 234 | |
| 2 | 2018 | 186 | |
| 3 | 2009 | 167 | |
| 4 | 2019 | 161 | |
| 5 | 2016 | 133 | |
| 6 | 2018 | 103 | |
| 7 | 2012 | 98 | |
| 8 | 2007 | 93 | |
| 9 | 2009 | 91 | |
| 10 | 2012 | 86 | |
| 11 | 2015 | 85 | |
| 12 | 2013 | 83 | |
| 13 | 2009 | 79 | |
| 14 | 2016 | 78 | |
| 15 | 2010 | 71 | |
| 16 | 2013 | 69 | |
| 17 | 2010 | 67 | |
| 18 | 2009 | 61 | |
| 19 | 2022 | 61 | |
| 20 | 2010 | 56 |
About Shuigeng Zhou
Shuigeng Zhou is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing, having authored 360 papers that have together received 6.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (51 papers), Data Management and Algorithms (45 papers), Computational Drug Discovery Methods (35 papers), Bioinformatics and Genomic Networks (34 papers), Opinion Dynamics and Social Influence (27 papers), Peer-to-Peer Network Technologies (23 papers), Protein Structure and Dynamics (22 papers) and Machine Learning in Bioinformatics (21 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Signal Processing (726 citations), Computational Theory and Mathematics (1.0k citations), Computer Vision and Pattern Recognition (1.1k citations) and Artificial Intelligence (1.3k citations). Shuigeng Zhou has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Jihong Guan, Zhongzhi Zhang, Xiaokui Xiao, Hui Liu, Qiwen Dong, Zhanzhan Cheng, Yufei Tao, Shiliang Pu, Yi Niu and Fan Bai. Their work appears in journals such as BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Physica A Statistical Mechanics and its Applications, IEEE Transactions on Knowledge and Data Engineering and Bioinformatics.
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.