Kai Sun

7.9k citations
279 papers · 5.4k · h-index 38

Impact in

Papers in

Kai Sun

261 papers receiving 5.2k citations

Peers

Kai Sun
Comparison fields: 5 of 126
  • Control and Systems Engineering 2.6k
  • Safety, Risk, Reliability and Quality 933
  • Electrical and Electronic Engineering 4.4k
  • Energy Engineering and Power Technology 187
  • Numerical Analysis 192
Replace J.J. Sanchez-Gasca with:
J.J. Sanchez-Gasca United States
A.M. Stanković United States
C.W. Taylor United States
Federico Milano Ireland
Joe H. Chow United States
Chih‐Wen Liu Taiwan
A.G. Phadke United States
A. P. Sakis Meliopoulos United States
Venkata Dinavahi Canada
I. Erlich Germany
Kai Sun relative to J.J. Sanchez-Gasca United States J.J. Sanchez-Gasca's profile →
Citations per field
00.5×2.6×
J.J. Sanchez-Gasca · 1×
Citations per year

Countries citing papers authored by Kai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 279 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007284
2 2003227
3 2009209
4 2014166
5 2003150
6 2019147
7 2014145
8 2014130
9 2005114
10 201699
11 201699
12 201095
13 201889
14 200883
15 201576
16 201575
17 201572
18 201069
19 201162
20 201861

About Kai Sun

Kai Sun is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Numerical Analysis and Statistical and Nonlinear Physics, having authored 279 papers that have together received 5.4k indexed citations. Recurring topics across this work include Power System Optimization and Stability (165 papers), Optimal Power Flow Distribution (89 papers), Power System Reliability and Maintenance (43 papers), Power Systems Fault Detection (37 papers), HVDC Systems and Fault Protection (34 papers), Microgrid Control and Optimization (33 papers), Numerical methods for differential equations (20 papers) and Real-time simulation and control systems (19 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Safety, Risk, Reliability and Quality (933 citations), Electrical and Electronic Engineering (4.4k citations), Energy Engineering and Power Technology (187 citations) and Numerical Analysis (192 citations). Kai Sun has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Junjian Qi, Bin Wang, Qiang Lu, Chengxi Liu, Vijay Vittal, Da-Zhong Zheng, Rui Yao, Wei Kang, Shengwei Mei and Wenyun Ju. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Access, IEEE Transactions on Smart Grid, IET Generation Transmission & Distribution and IEEE Open Access Journal of Power and Energy.

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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