Kun Sheng

906 citations
41 papers · 715 · h-index 15

Impact in

Papers in

Kun Sheng

39 papers receiving 705 citations

Peers

Kun Sheng
Comparison fields: 5 of 89
  • Biomaterials 189
  • Energy Engineering and Power Technology 19
  • Control and Systems Engineering 133
  • Mechanical Engineering 214
  • Electrical and Electronic Engineering 304
Replace Junchen Li with:
Junchen Li China
Chiara Vianello Italy
Mei Gong Sweden
Janie Ling‐Chin United Kingdom
Huanxin Wang China
Colin Pritchard United Kingdom
Hui Zhao China
Weiqi Li China
Joe Cresko United States
Kun Sheng relative to Junchen Li China Junchen Li's profile →
Citations per field
00.5×4.4×
Junchen Li · 1×
Citations per year

Countries citing papers authored by Kun Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Kun Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016114
2 201580
3 201967
4 202454
5 201844
6 201442
7 201930
8 202230
9 200029
10 202023
11 202021
12 202118
13 201816
14 202116
15 202014
16 201914
17 202012
18
Design of a Security Risk Management System for Power System Dispatching and Operation Part One Concepts and Design of Architecture and Function
201310
19 20219
20
A Probabilistic Model of Overhead Transmission Line Outage due to Forest Fire
20139

About Kun Sheng

Kun Sheng is a scholar working on Electrical and Electronic Engineering, Biomaterials, Mechanical Engineering, Materials Chemistry and Energy Engineering and Power Technology, having authored 41 papers that have together received 715 indexed citations. Recurring topics across this work include Magnesium Alloys: Properties and Applications (10 papers), Aluminum Alloys Composites Properties (9 papers), Electric Power System Optimization (5 papers), Corrosion Behavior and Inhibition (4 papers), Smart Grid and Power Systems (4 papers), Integrated Energy Systems Optimization (4 papers), Induction Heating and Inverter Technology (3 papers) and Advanced Welding Techniques Analysis (3 papers). The work is most often cited by research in Biomaterials (189 citations), Energy Engineering and Power Technology (19 citations), Control and Systems Engineering (133 citations), Mechanical Engineering (214 citations) and Electrical and Electronic Engineering (304 citations). Kun Sheng has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Wei Pei, Yan Du, Wei Deng, Wei Deng, Liwei Lu, Hao Xiao, Min Ma, Zhiqiang Wu, Li Kong and Hong-Hua Ge. Their work appears in journals such as Frontiers in Energy Research, Journal of Magnesium and Alloys, IEEE Access, Materials and Corrosion and Acta Metallurgica Sinica (English Letters).

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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