Jun Zhou
Impact in
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Imbalanced Data Classification Techniques
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Information Systems top 1%
- Recommender Systems and Techniques
- Spam and Phishing Detection
Papers in
-
- Advanced Graph Neural Networks 35
- Topic Modeling 28
- Machine Learning and Data Classification 14
- Domain Adaptation and Few-Shot Learning 12
- Data Stream Mining Techniques 12
- Imbalanced Data Classification Techniques 11
-
- Recommender Systems and Techniques 44
- Co-authors
- Xiaolong Li (18 shared papers)Chaochao Chen (16 shared papers)Qi Yuan (10 shared papers)Longfei Li (12 shared papers)Xinxing Yang (7 shared papers)Ziqi Liu (3 shared papers)Zhiqiang Zhang (24 shared papers)Le Song (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (4 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)ACM Transactions on Information Systems (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Zhou
136 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.3k
- Information Systems 630
- Computer Vision and Pattern Recognition 372
- Statistical and Nonlinear Physics 151
- Computer Networks and Communications 251
Countries citing papers authored by Jun Zhou
This map shows the geographic impact of Jun 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 Jun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhou more than expected).
Fields of papers citing papers by Jun Zhou
This network shows the impact of papers produced by Jun 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 Jun Zhou. The network helps show where Jun Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 232 | |
| 2 | 2019 | 186 | |
| 3 | 2019 | 94 | |
| 4 | 2021 | 83 | |
| 5 | 2020 | 64 | |
| 6 | 2008 | 54 | |
| 7 | 2019 | 51 | |
| 8 | 2023 | 51 | |
| 9 | 2018 | 51 | |
| 10 | 2021 | 51 | |
| 11 | 2021 | 48 | |
| 12 | 2020 | 45 | |
| 13 | 2017 | 43 | |
| 14 | 2021 | 37 | |
| 15 | 2018 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2019 | 29 | |
| 18 | 2023 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2022 | 24 |
About Jun Zhou
Jun Zhou is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 162 papers that have together received 2.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (44 papers), Advanced Graph Neural Networks (35 papers), Topic Modeling (28 papers), Machine Learning and Data Classification (14 papers), Domain Adaptation and Few-Shot Learning (12 papers), Data Stream Mining Techniques (12 papers), Imbalanced Data Classification Techniques (11 papers) and Advanced Bandit Algorithms Research (10 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Information Systems (630 citations), Computer Vision and Pattern Recognition (372 citations), Statistical and Nonlinear Physics (151 citations) and Computer Networks and Communications (251 citations). Jun Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaolong Li, Chaochao Chen, Qi Yuan, Longfei Li, Xinxing Yang, Ziqi Liu, Zhiqiang Zhang, Le Song, Ziqi Liu and Le Song. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, ACM Transactions on Knowledge Discovery from Data and IEEE Transactions on Dependable and Secure Computing.
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.