Jun Yi

730 citations
57 papers · 566 · h-index 11

Impact in

Papers in

Jun Yi

53 papers receiving 544 citations

Peers

Jun Yi
Comparison fields: 5 of 64
  • Energy Engineering and Power Technology 42
  • Control and Systems Engineering 262
  • Electrical and Electronic Engineering 353
  • Safety, Risk, Reliability and Quality 48
  • Ocean Engineering 45
Replace Yuanrui Sang with:
Yuanrui Sang United States
Mohannad Alhazmi Saudi Arabia
O. P. Rahi India
Yih-huei Wan United States
Diego A. Tejada‐Arango Spain
James Yu United Kingdom
Silvio Giuseppe Di Santo Brazil
Blazhe Gjorgiev Switzerland
Marco Maccioni Italy
Jun Yi relative to Yuanrui Sang United States Yuanrui Sang's profile →
Citations per field
00.5×3.9×
Yuanrui Sang · 1×
Citations per year

Countries citing papers authored by Jun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009110
2 200691
3
Analysis and Lessons of the Blackout in Indian Power Grid on July 30 and 31,2012
201249
4 201435
5 201933
6 201531
7 201729
8
Research and Electromechanical Transient Simulation on Mechanism of Commutation Failure in Multi-Infeed HVDC Power Transmission System
201221
9 202220
10 202017
11 202213
12 20198
13 20197
14 20176
15 20206
16 20226
17 20185
18 20205
19 20205
20 20125

About Jun Yi

Jun Yi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Automotive Engineering and Artificial Intelligence, having authored 57 papers that have together received 566 indexed citations. Recurring topics across this work include High-Voltage Power Transmission Systems (20 papers), HVDC Systems and Fault Protection (15 papers), Power System Optimization and Stability (15 papers), Smart Grid and Power Systems (12 papers), Power Systems and Renewable Energy (11 papers), Power Systems and Technologies (7 papers), Optimal Power Flow Distribution (7 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (42 citations), Control and Systems Engineering (262 citations), Electrical and Electronic Engineering (353 citations), Safety, Risk, Reliability and Quality (48 citations) and Ocean Engineering (45 citations). Jun Yi has collaborated with scholars based in China, United States and Yemen. Frequent co-authors include Dan Zhao, Jianhua Cheng, Ruihua Song, Xiaoyu Yang, Haiyan Tang, Yan Li, Xiaoxin Zhou, Guangquan Bu, Qiang Guo and Yong Tang. Their work appears in journals such as IEEE Access, Energies, CSEE Journal of Power and Energy Systems, IEEE Transactions on Smart Grid and The Journal of Engineering.

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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