Peng Zhou
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Clustering Algorithms Research
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
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- Face and Expression Recognition
Papers in
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- Advanced Clustering Algorithms Research 16
- Advanced Graph Neural Networks 10
- Text and Document Classification Technologies 8
- Anomaly Detection Techniques and Applications 6
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- Face and Expression Recognition 32
- Advanced Image and Video Retrieval Techniques 10
- Co-authors
- Zhenyu Qi (2 shared papers)Bo Xu (3 shared papers)Bingchen Li (1 shared paper)Hongwei Hao (1 shared paper)Jun Tian (1 shared paper)Wei Shi (1 shared paper)Liang Du (39 shared papers)Xuejun Li (13 shared papers)
In The Last Decade
Peng Zhou
83 papers receiving 2.8k citations
Peng Zhou's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 1.9k
- Computer Vision and Pattern Recognition 842
- Computational Mathematics 21
- Media Technology 133
- Urban Studies 90
Countries citing papers authored by Peng Zhou
This map shows the geographic impact of Peng 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 Peng Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Zhou more than expected).
Fields of papers citing papers by Peng Zhou
This network shows the impact of papers produced by Peng 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 Peng Zhou. The network helps show where Peng Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification Hit paper breakdown → | 2016 | 1513 |
| 2 | Robust multiple kernel K-means using ℓ 2;1 -norm | 2015 | 132 |
| 3 | 2020 | 98 | |
| 4 | 2020 | 91 | |
| 5 | 2019 | 65 | |
| 6 | 2019 | 60 | |
| 7 | 2021 | 54 | |
| 8 | 2016 | 52 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 42 | |
| 11 | Recovery of corrupted multiple kernels for clustering | 2015 | 33 |
| 12 | 2022 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2013 | 30 | |
| 15 | 2021 | 28 | |
| 16 | 2023 | 27 | |
| 17 | 2023 | 27 | |
| 18 | 2022 | 26 | |
| 19 | 2021 | 25 | |
| 20 | 2021 | 24 |
About Peng Zhou
Peng Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Molecular Biology and Media Technology, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (32 papers), Advanced Clustering Algorithms Research (16 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (10 papers), Text and Document Classification Technologies (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computer Vision and Pattern Recognition (842 citations), Computational Mathematics (21 citations), Media Technology (133 citations) and Urban Studies (90 citations). Peng Zhou has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Zhenyu Qi, Bo Xu, Bingchen Li, Hongwei Hao, Jun Tian, Wei Shi, Liang Du, Xuejun Li, Yi-Dong Shen and Mingyu Fan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Fusion, IEEE Access, Knowledge-Based Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.