Jun Mei
Impact in
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- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
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- stochastic dynamics and bifurcation
Papers in
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- Chaos control and synchronization 8
Jun Mei
81 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 910
- Statistical and Nonlinear Physics 436
- Electrical and Electronic Engineering 1.1k
- Nuclear Energy and Engineering 8
- Polymers and Plastics 240
Countries citing papers authored by Jun Mei
This map shows the geographic impact of Jun Mei'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 Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mei more than expected).
Fields of papers citing papers by Jun Mei
This network shows the impact of papers produced by Jun Mei. 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 Mei. The network helps show where Jun Mei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Mei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 32 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 11 | |
| 12 | 2020 | 26 | |
| 13 | 2019 | 46 | |
| 14 | 2017 | 12 | |
| 15 | 層間誘導されたZnOナノロッド/「CuSヘテロ接合の光応答特性の増強【Powered by NICT】 | 2017 | 1 |
| 16 | 2017 | 47 | |
| 17 | 2016 | 30 | |
| 18 | 2016 | 13 | |
| 19 | An Improved Apriori Algorithm Based on Graph | 2009 | 1 |
| 20 | An Algorithm for Mining Maximum Frequent Item Sets Based on FP-tree | 2009 | 1 |
About Jun Mei
Jun Mei is a scholar working on Nuclear Energy and Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Automotive Engineering and Electrical and Electronic Engineering, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (29 papers), Nonlinear Dynamics and Pattern Formation (18 papers), Advancements in Battery Materials (17 papers), Advanced Battery Materials and Technologies (13 papers), Advanced Battery Technologies Research (10 papers), Perovskite Materials and Applications (10 papers), Distributed Control Multi-Agent Systems (8 papers) and Chaos control and synchronization (8 papers). The work is most often cited by research in Computer Networks and Communications (910 citations), Statistical and Nonlinear Physics (436 citations), Electrical and Electronic Engineering (1.1k citations), Nuclear Energy and Engineering (8 citations) and Polymers and Plastics (240 citations). Jun Mei has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Minghui Jiang, Hai Zhou, Hao Wang, Junhao Hu, Bin Wang, Zehao Song, Jiang Liu, Xulin He, Qinyan Ye and Pengbin Gui. Their work appears in journals such as Neurocomputing, RSC Advances, Journal of Solid State Electrochemistry, Journal of Materials Chemistry A and Journal of the Franklin Institute.
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.