Jun Bao Yang

3.4k citations
116 papers · 2.6k · h-index 28

Impact in

Papers in

Jun Bao Yang

111 papers receiving 2.6k citations

Peers

Jun Bao Yang
Comparison fields: 5 of 93
  • Energy Engineering and Power Technology 274
  • Control and Systems Engineering 1.1k
  • Automotive Engineering 527
  • Electrical and Electronic Engineering 2.3k
  • Safety, Risk, Reliability and Quality 140
Replace Saeid Ghassem Zadeh with:
Saeid Ghassem Zadeh Iran
F. Silvestro Italy
Tao Jiang China
Youbo Liu China
Davide Poli Italy
Xiuli Wang China
Igor Kuzle Croatia
Jian Chen China
Mohsen Kalantar Iran
Haritza Camblong France
Jun Bao Yang relative to Saeid Ghassem Zadeh Iran Saeid Ghassem Zadeh's profile →
Citations per field
00.5×2×3×3.5×
Saeid Ghassem Zadeh · 1×
Citations per year

Countries citing papers authored by Jun Bao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Bao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 2015136
3 2017131
4 201798
5 201892
6 202486
7 201979
8 200975
9 201973
10 202070
11 201766
12 201665
13 201662
14 202260
15 202159
16 202058
17 201556
18 202052
19 201750
20 202049

About Jun Bao Yang

Jun Bao Yang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering, Energy Engineering and Power Technology and Safety, Risk, Reliability and Quality, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (36 papers), Electric Vehicles and Infrastructure (31 papers), Smart Grid Energy Management (31 papers), HVDC Systems and Fault Protection (23 papers), Frequency Control in Power Systems (20 papers), Advanced Battery Technologies Research (18 papers), Power System Optimization and Stability (15 papers) and Power Systems and Renewable Energy (12 papers). The work is most often cited by research in Energy Engineering and Power Technology (274 citations), Control and Systems Engineering (1.1k citations), Automotive Engineering (527 citations), Electrical and Electronic Engineering (2.3k citations) and Safety, Risk, Reliability and Quality (140 citations). Jun Bao Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yufei Tang, Lei Chen, Jian Bo Xu, Siyao Fu, Jun Yan, Xu Zhu, Xiaotao Peng, Deping Ke, Siyang Liao and Yuanzhang Sun. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Energies, Applied Energy, The Journal of Engineering and IEEE Transactions on Applied Superconductivity.

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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