Min Zhou
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Research
Papers in
-
- Advanced Graph Neural Networks 5
-
- Software Engineering Research 16
- Co-authors
- Ming Gu (28 shared papers)Xiaoyu Song (15 shared papers)Kun Gai (1 shared paper)Quan Chen (1 shared paper)Zhiqiang Zhang (1 shared paper)Xiaogang Jin (1 shared paper)Alan Jay Smith (1 shared paper)Zengfeng Huang (2 shared papers)
- Journals
- Lecture notes in computer science (10 papers)Advanced Healthcare Materials (1 paper)Theory of Computing Systems (1 paper)The Computer Journal (1 paper)Tsinghua Science & Technology (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Min Zhou
84 papers receiving 712 citations
Peers
Comparison fields: 5 of 120
- Software 93
- Information Systems 192
- Computer Vision and Pattern Recognition 169
- Signal Processing 84
- Artificial Intelligence 199
Countries citing papers authored by Min Zhou
This map shows the geographic impact of Min 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 Min Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Zhou more than expected).
Fields of papers citing papers by Min Zhou
This network shows the impact of papers produced by Min 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 Min Zhou. The network helps show where Min Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2021 | 49 | |
| 3 | 2022 | 41 | |
| 4 | 2020 | 34 | |
| 5 | 2024 | 32 | |
| 6 | 2022 | 32 | |
| 7 | 2003 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2024 | 22 | |
| 10 | 2016 | 22 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 15 | |
| 13 | 2009 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 10 |
About Min Zhou
Min Zhou is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Networks and Communications and Computational Theory and Mathematics, having authored 103 papers that have together received 732 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (20 papers), Formal Methods in Verification (17 papers), Software Engineering Research (16 papers), Software Reliability and Analysis Research (12 papers), Software System Performance and Reliability (10 papers), Advanced Malware Detection Techniques (8 papers), Advanced Graph Neural Networks (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Software (93 citations), Information Systems (192 citations), Computer Vision and Pattern Recognition (169 citations), Signal Processing (84 citations) and Artificial Intelligence (199 citations). Min Zhou has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Ming Gu, Xiaoyu Song, Kun Gai, Quan Chen, Zhiqiang Zhang, Xiaogang Jin, Alan Jay Smith, Zengfeng Huang, Youlong Luo and Shengzhong Zhang. Their work appears in journals such as Lecture notes in computer science, Advanced Healthcare Materials, Theory of Computing Systems, The Computer Journal and Tsinghua Science & Technology.
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.