Huiwei Zhou
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
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- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
Papers in
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- Topic Modeling 14
- Advanced Text Analysis Techniques 8
- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 3
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- Biomedical Text Mining and Ontologies 10
- Machine Learning in Bioinformatics 5
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Co-authors
- Degen Huang (11 shared papers)Fulin Shi (1 shared paper)Long Chen (1 shared paper)Jia Chen (1 shared paper)Zhe Liu (2 shared papers)Xiaohui Lin (2 shared papers)Yuansheng Yang (4 shared papers)Haibin Jiang (1 shared paper)
In The Last Decade
Huiwei Zhou
26 papers receiving 268 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 183
- Molecular Biology 108
- Management Science and Operations Research 14
- Biomaterials 12
- Health Informatics 1
Countries citing papers authored by Huiwei Zhou
This map shows the geographic impact of Huiwei 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 Huiwei Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiwei Zhou more than expected).
Fields of papers citing papers by Huiwei Zhou
This network shows the impact of papers produced by Huiwei 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 Huiwei Zhou. The network helps show where Huiwei Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiwei 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2015 | 49 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 17 | |
| 6 | 2018 | 12 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2015 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2008 | 4 | |
| 17 | Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts | 2010 | 4 |
| 18 | 2013 | 4 | |
| 19 | Dual-Layer CRFs Based on Subword for Chinese Word Segmentation | 2010 | 4 |
| 20 | 2021 | 3 |
About Huiwei Zhou
Huiwei Zhou is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Biomaterials and Management Science and Operations Research, having authored 27 papers that have together received 273 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (10 papers), Advanced Text Analysis Techniques (8 papers), Machine Learning in Bioinformatics (5 papers), Natural Language Processing Techniques (5 papers), Bioinformatics and Genomic Networks (3 papers), Text and Document Classification Technologies (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Artificial Intelligence (183 citations), Molecular Biology (108 citations), Management Science and Operations Research (14 citations), Biomaterials (12 citations) and Health Informatics (1 citation). Huiwei Zhou has collaborated with scholars based in China and Japan. Frequent co-authors include Degen Huang, Fulin Shi, Long Chen, Jia Chen, Zhe Liu, Xiaohui Lin, Yuansheng Yang, Zhe Liu, Haibin Jiang and Zhaoming Guo. Their work appears in journals such as Journal of Biomedical Informatics, BMC Bioinformatics, PLoS ONE, Database and ACM Transactions on Knowledge Discovery from Data.
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.