Deyu Zhou
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- General Social Sciences top 0.5%
Papers in
-
- Topic Modeling 57
- Advanced Text Analysis Techniques 31
- Sentiment Analysis and Opinion Mining 23
- Natural Language Processing Techniques 22
- Text and Document Classification Technologies 11
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- Biomedical Text Mining and Ontologies 10
- Co-authors
- Yulan He (51 shared papers)Rui Wang (6 shared papers)Paul R. Prucnal (12 shared papers)Ivan Glesk (11 shared papers)Linhai Zhang (20 shared papers)Xuan Zhang (3 shared papers)Xin Geng (2 shared papers)Lei Miao (2 shared papers)
- Journals
- Artificial Intelligence in Medicine (5 papers)Information Processing & Management (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Knowledge-Based Systems (2 papers)Computer Speech & Language (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Deyu Zhou
99 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 1.1k
- General Social Sciences 54
- Statistical and Nonlinear Physics 124
- Experimental and Cognitive Psychology 117
- Computer Vision and Pattern Recognition 152
Countries citing papers authored by Deyu Zhou
This map shows the geographic impact of Deyu 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 Deyu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyu Zhou more than expected).
Fields of papers citing papers by Deyu Zhou
This network shows the impact of papers produced by Deyu 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 Deyu Zhou. The network helps show where Deyu Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Deyu 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 139 | |
| 2 | 2016 | 94 | |
| 3 | 2021 | 90 | |
| 4 | 2014 | 67 | |
| 5 | 2008 | 62 | |
| 6 | 2018 | 61 | |
| 7 | 2019 | 59 | |
| 8 | 1993 | 59 | |
| 9 | 2015 | 57 | |
| 10 | 2014 | 52 | |
| 11 | 2019 | 51 | |
| 12 | 2019 | 45 | |
| 13 | 1998 | 43 | |
| 14 | 2021 | 41 | |
| 15 | 2019 | 32 | |
| 16 | 2015 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2018 | 24 | |
| 19 | 1999 | 23 | |
| 20 | 2021 | 22 |
About Deyu Zhou
Deyu Zhou is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (57 papers), Advanced Text Analysis Techniques (31 papers), Sentiment Analysis and Opinion Mining (23 papers), Natural Language Processing Techniques (22 papers), Optical Network Technologies (12 papers), Text and Document Classification Technologies (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Web Data Mining and Analysis (9 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), General Social Sciences (54 citations), Statistical and Nonlinear Physics (124 citations), Experimental and Cognitive Psychology (117 citations) and Computer Vision and Pattern Recognition (152 citations). Deyu Zhou has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yulan He, Rui Wang, Paul R. Prucnal, Ivan Glesk, Linhai Zhang, Xuan Zhang, Xin Geng, Lei Miao, Liangyu Chen and Lixing Zhu. Their work appears in journals such as Artificial Intelligence in Medicine, Information Processing & Management, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Knowledge-Based Systems and Computer Speech & Language.
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.