Jun Peng

3.8k citations
283 papers · 2.9k · h-index 28

Impact in

Papers in

Jun Peng

261 papers receiving 2.8k citations

Peers

Jun Peng
Comparison fields: 5 of 135
  • Automotive Engineering 872
  • Computer Networks and Communications 775
  • Control and Systems Engineering 688
  • Electrical and Electronic Engineering 1.2k
  • Industrial and Manufacturing Engineering 179
Replace Bin Chen with:
Bin Chen China
Tao Peng China
D. Devaraj India
Qiang Zhou China
Lorenzo Ciani Italy
Zhile Yang China
Hongseok Kim South Korea
Zhiwen Chen China
João Martins Portugal
Marcantonio Catelani Italy
Jun Peng relative to Bin Chen China Bin Chen's profile →
Citations per field
00.5×2×3×4.1×
Bin Chen · 1×
Citations per year

Countries citing papers authored by Jun Peng

Since Specialization
Citations

This map shows the geographic impact of Jun Peng'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 Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).

Fields of papers citing papers by Jun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Peng. 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 Peng. The network helps show where Jun Peng may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Peng, 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 Peng Line = papers co-authored together Jun Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 283 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018202
2 2018198
3 202381
4 202081
5 202272
6 201962
7 202257
8 201955
9 201851
10 202048
11 202146
12 201646
13 201846
14 201943
15 201742
16 202237
17 201335
18 202434
19 201833
20 201633

About Jun Peng

Jun Peng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Automotive Engineering and Electronic, Optical and Magnetic Materials, having authored 283 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (47 papers), Electric and Hybrid Vehicle Technologies (42 papers), Supercapacitor Materials and Fabrication (32 papers), Electric Vehicles and Infrastructure (29 papers), Microgrid Control and Optimization (22 papers), Railway Systems and Energy Efficiency (19 papers), Distributed Control Multi-Agent Systems (16 papers) and Cooperative Communication and Network Coding (16 papers). The work is most often cited by research in Automotive Engineering (872 citations), Computer Networks and Communications (775 citations), Control and Systems Engineering (688 citations), Electrical and Electronic Engineering (1.2k citations) and Industrial and Manufacturing Engineering (179 citations). Jun Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiwu Huang, Weirong Liu, Heng Li, Yijun Cheng, Yue Wu, Xiaoyong Zhang, Kaiyang Liu, Xin Gu, Fu Jiang and Xiaoyong Zhang. Their work appears in journals such as IEEE Transactions on Industry Applications, Applied Energy, IEEE Access, Energies and Journal of Energy Storage.

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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