Jun Peng

3.7k citations
276 papers · 2.7k · h-index 27

Impact in

Papers in

Jun Peng

251 papers receiving 2.6k citations

Peers

Jun Peng
Comparison fields: 5 of 136
  • Automotive Engineering 806
  • Computer Networks and Communications 694
  • Control and Systems Engineering 648
  • Electrical and Electronic Engineering 1.1k
  • Industrial and Manufacturing Engineering 167
Replace Tao Peng with:
Tao Peng China
D. Devaraj India
Lorenzo Ciani Italy
Zhile Yang China
Zhiwen Chen China
Marcantonio Catelani Italy
Hongseok Kim South Korea
S. Andrew Gadsden Canada
Xiaofang Yuan China
Luís Hernández-Callejo Spain
Jun Peng relative to Tao Peng China Tao Peng's profile →
Citations per field
00.5×5.4×
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 276 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018195
2 2018168
3 202072
4 202365
5 202265
6 201958
7 201955
8 202252
9 201850
10 202047
11 201844
12 202143
13 201642
14 201741
15 201937
16 202236
17 201333
18 201632
19 201831
20 202030

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 276 papers that have together received 2.7k 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 Cognitive Radio Networks and Spectrum Sensing (15 papers). The work is most often cited by research in Automotive Engineering (806 citations), Computer Networks and Communications (694 citations), Control and Systems Engineering (648 citations), Electrical and Electronic Engineering (1.1k citations) and Industrial and Manufacturing Engineering (167 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, Fu Jiang, Xin Gu and Xiaoyong Zhang. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Access, Applied Energy, 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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