Jun Peng

3.8k citations
277 papers · 2.8k · h-index 28

Impact in

Papers in

Jun Peng

254 papers receiving 2.7k citations

Peers

Jun Peng
Comparison fields: 5 of 135
  • Automotive Engineering 856
  • Computer Networks and Communications 710
  • Control and Systems Engineering 664
  • Electrical and Electronic Engineering 1.2k
  • Industrial and Manufacturing Engineering 173
Replace Tao Peng with:
Tao Peng China
D. Devaraj India
Lorenzo Ciani Italy
Zhile Yang China
Zhiwen Chen China
Hongseok Kim South Korea
Marcantonio Catelani Italy
S. Andrew Gadsden Canada
Yu Peng China
Xiaofang Yuan China
Jun Peng relative to Tao Peng China Tao Peng's profile →
Citations per field
00.5×5.8×
Tao Peng · 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 277 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 2018174
3 202380
4 202077
5 202272
6 201962
7 202257
8 201955
9 201850
10 202048
11 202146
12 201845
13 201643
14 201741
15 201941
16 202237
17 201334
18 202434
19 202032
20 201632

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 277 papers that have together received 2.8k 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 (15 papers). The work is most often cited by research in Automotive Engineering (856 citations), Computer Networks and Communications (710 citations), Control and Systems Engineering (664 citations), Electrical and Electronic Engineering (1.2k citations) and Industrial and Manufacturing Engineering (173 citations). Jun Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiwu Huang, Heng Li, Weirong Liu, Yijun Cheng, Yue Wu, Xiaoyong Zhang, Kaiyang Liu, Fu Jiang, Xin Gu and Xiaoyong Zhang. Their work appears in journals such as IEEE Transactions on Industry Applications, Energies, IEEE Access, Applied Energy 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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