Min Zhu
Impact in
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- Data Visualization and Analytics
- Modeling and Simulation top 10%
Papers in
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- Genomics and Chromatin Dynamics 7
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 5
- Machine Learning in Bioinformatics 5
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- Data Visualization and Analytics 13
- Video Analysis and Summarization 5
- Co-authors
- Junqiang Song (5 shared papers)Huaqing Wang (5 shared papers)Haibo Du (5 shared papers)Di Wu (3 shared papers)Yongqing Zhang (2 shared papers)Tian Tian (1 shared paper)Fukang Yin (1 shared paper)Yingying Cheng (4 shared papers)
- Journals
- Advances in Difference Equations (2 papers)IEEE Transactions on Circuits & Systems II Express Briefs (2 papers)Journal of Visual Languages & Computing (2 papers)Plant Biotechnology Journal (2 papers)Chemometrics and Intelligent Laboratory Systems (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Min Zhu
90 papers receiving 738 citations
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 149
- Modeling and Simulation 32
- Statistical and Nonlinear Physics 63
- Analytical Chemistry 41
- Control and Systems Engineering 95
Countries citing papers authored by Min Zhu
This map shows the geographic impact of Min Zhu'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 Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Zhu more than expected).
Fields of papers citing papers by Min Zhu
This network shows the impact of papers produced by Min Zhu. 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 Zhu. The network helps show where Min Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Zhu, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 44 | |
| 2 | 2015 | 41 | |
| 3 | 2018 | 38 | |
| 4 | 2014 | 38 | |
| 5 | 1999 | 36 | |
| 6 | 2012 | 32 | |
| 7 | 2018 | 30 | |
| 8 | 2022 | 28 | |
| 9 | 2013 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2018 | 11 |
About Min Zhu
Min Zhu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering, having authored 101 papers that have together received 771 indexed citations. Recurring topics across this work include Data Visualization and Analytics (13 papers), Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (6 papers), Complex Network Analysis Techniques (6 papers), RNA modifications and cancer (5 papers), Video Analysis and Summarization (5 papers), Machine Learning in Bioinformatics (5 papers) and Team Dynamics and Performance (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (149 citations), Modeling and Simulation (32 citations), Statistical and Nonlinear Physics (63 citations), Analytical Chemistry (41 citations) and Control and Systems Engineering (95 citations). Min Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junqiang Song, Huaqing Wang, Haibo Du, Di Wu, Yongqing Zhang, Tian Tian, Fukang Yin, Yingying Cheng, Dwight S. Walker and Xiaoyu Zhu. Their work appears in journals such as Advances in Difference Equations, IEEE Transactions on Circuits & Systems II Express Briefs, Journal of Visual Languages & Computing, Plant Biotechnology Journal and Chemometrics and Intelligent Laboratory 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.