Kun Sheng

865 citations
40 papers · 678 indexed · h-index 15

Kun Sheng

38 papers receiving 663 citations

Peers

Kun Sheng
Comparison fields: 5 of 89
  • Biomaterials 178
  • Energy Engineering and Power Technology 19
  • Control and Systems Engineering 133
  • Mechanical Engineering 204
  • Electrical and Electronic Engineering 300
Replace Оlga Arsenyeva with:
Оlga Arsenyeva Ukraine
Junchen Li China
Chiara Vianello Italy
Janie Ling‐Chin United Kingdom
Zihao Zhao China
Huanxin Wang China
Xiangyu Teng China
Maribel González-Torres Mexico
Weiqi Li China
Kun Sheng relative to Оlga Arsenyeva Ukraine Оlga Arsenyeva's profile →
Citations per field
00.5×3.7×
Оlga Arsenyeva · 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-authorship network

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
#Work
1 20251
2 20244
3 20240
4 20241
5 20230
6 20235
7 20232
8 20233
9 20237
10 202116
11 20207
12 202022
13 202013
14 202011
15 201914
16 201965
17 20171
18
A Probabilistic Model of Overhead Transmission Line Outage due to Forest Fire
20139
19
面向调度运行的电网安全风险管理控制系统:(二)风险指标体系、评估方法与应用策略
20121
20
PT and NPT IGBTs up to 1.2kV - which is optimum?
20001

About Kun Sheng

Kun Sheng is a scholar working on Energy Engineering and Power Technology, Biomaterials, Physiology, Metals and Alloys and Mechanical Engineering, having authored 40 papers that have together received 678 indexed citations. Recurring topics across this work include Magnesium Alloys: Properties and Applications (10 papers), Aluminum Alloys Composites Properties (8 papers), Electric Power System Optimization (5 papers), Integrated Energy Systems Optimization (4 papers), Smart Grid and Power Systems (4 papers), Corrosion Behavior and Inhibition (4 papers), Energy Load and Power Forecasting (3 papers) and Magnetic and Electromagnetic Effects (3 papers). The work is most often cited by research in Biomaterials (178 citations), Energy Engineering and Power Technology (19 citations), Control and Systems Engineering (133 citations), Mechanical Engineering (204 citations) and Electrical and Electronic Engineering (300 citations). Kun Sheng has collaborated with scholars based in China, United Kingdom and Portugal. Frequent co-authors include Wei Pei, Yan Du, Wei Deng, Wei Deng, Hao Xiao, Liwei Lu, Min Ma, Zhiqiang Wu, Tao Zhou and Zhiping Qi. Their work appears in journals such as Frontiers in Energy Research, IEEE Access, Journal of Magnesium and Alloys, Materials and Corrosion and IEEE Transactions on Industrial Electronics.

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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