Jun Mei

2.7k citations
91 papers · 2.3k · h-index 30

Impact in

Papers in

Jun Mei

84 papers receiving 2.3k citations

Peers

Jun Mei
Comparison fields: 5 of 89
  • Computer Networks and Communications 930
  • Statistical and Nonlinear Physics 443
  • Electrical and Electronic Engineering 1.1k
  • Nuclear Energy and Engineering 9
  • Polymers and Plastics 246
Replace Ziye Zhang with:
Ziye Zhang China
Kyungmin Lee South Korea
Qifeng Zhang China
Tohru Ishihara Japan
Kenji Natori Japan
Hongxiang Wang China
Qun Gao China
Chi-Yen Huang Taiwan
Yasumasa Fujisaki Japan
Liu Liu China
Jun Mei relative to Ziye Zhang China Ziye Zhang's profile →
Citations per field
00.5×7.1×
Ziye Zhang · 1×
Citations per year

Countries citing papers authored by Jun Mei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jun Mei Line = papers co-authored together Jun Mei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012165
2 2015128
3 2019109
4 201494
5 201774
6 201473
7 201471
8 201368
9 201767
10 201765
11 201859
12 201658
13 201255
14 201654
15 201751
16 201650
17 201749
18 201648
19 201947
20 201547

About Jun Mei

Jun Mei is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 91 papers that have together received 2.3k 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), Chaos control and synchronization (8 papers) and Distributed Control Multi-Agent Systems (8 papers). The work is most often cited by research in Computer Networks and Communications (930 citations), Statistical and Nonlinear Physics (443 citations), Electrical and Electronic Engineering (1.1k citations), Nuclear Energy and Engineering (9 citations) and Polymers and Plastics (246 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, Chaos Solitons & Fractals, Journal of Materials Chemistry A and Journal of Solid State Electrochemistry.

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.

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