Soongeol Kwon

970 citations
27 papers · 705 · h-index 13

Impact in

Papers in

Soongeol Kwon

25 papers receiving 688 citations

Peers

Soongeol Kwon
Comparison fields: 5 of 54
  • Energy Engineering and Power Technology 44
  • Automotive Engineering 140
  • Control and Systems Engineering 231
  • Electrical and Electronic Engineering 548
  • Industrial and Manufacturing Engineering 73
Replace Sung-Yong Son with:
Sung-Yong Son South Korea
Desen Kırlı United Kingdom
Xue Han China
Lingxiao Yang China
Alessandro Burgio Italy
Fengji Luo Australia
Christoph Goebel Germany
Kai Heussen Denmark
Fuad Un-Noor United States
Fernando Lezama Portugal
Soongeol Kwon relative to Sung-Yong Son South Korea Sung-Yong Son's profile →
Citations per field
00.5×1.5×
Sung-Yong Son · 1×
Citations per year

Countries citing papers authored by Soongeol Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soongeol Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Soongeol Kwon, 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 Soongeol Kwon Line = papers co-authored together Soongeol Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020154
2 202171
3 202064
4 201661
5 201851
6 202148
7 202144
8 201539
9 202033
10 202228
11 202026
12 200921
13 202120
14 201610
15 20158
16 20227
17 20234
18 20243
19 20253
20 20213

About Soongeol Kwon

Soongeol Kwon is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Information Systems, Automotive Engineering and Management Information Systems, having authored 27 papers that have together received 705 indexed citations. Recurring topics across this work include Smart Grid Energy Management (13 papers), Electric Vehicles and Infrastructure (10 papers), Cloud Computing and Resource Management (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Scheduling and Optimization Algorithms (4 papers), Microgrid Control and Optimization (4 papers), Green IT and Sustainability (4 papers) and Building Energy and Comfort Optimization (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (44 citations), Automotive Engineering (140 citations), Control and Systems Engineering (231 citations), Electrical and Electronic Engineering (548 citations) and Industrial and Manufacturing Engineering (73 citations). Soongeol Kwon has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Natarajan Gautam, Lewis Ntaimo, Zhaocai Liu, Sang Won Yoon, Yunjian Xu, Young Hoon Lee, Fuda Ning, C.K. Lee, Yajie Yang and Hong Lee. Their work appears in journals such as Applied Energy, IEEE Transactions on Smart Grid, International Journal of Electrical Power & Energy Systems, Energy and Buildings and IEEE/ACM Transactions on Networking.

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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