Shan He

1.0k citations
82 papers · 748 indexed · 1 hit paper · h-index 13
Topics
Microgrid Control and Optimization (31 papers)Multilevel Inverters and Converters (19 papers)Advanced Battery Technologies Research (18 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsApplied Energy
Partner nations
DenmarkChinaHong Kong

In The Last Decade

Shan He

72 papers receiving 727 citations

Hit Papers

A review of non-probabilistic machine learning-based stat...2021202620222024202150100150200250

Peers

Shan He
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 580
  • Automotive Engineering 373
  • Control and Systems Engineering 287
  • Safety, Risk, Reliability and Quality 53
  • Artificial Intelligence 32
Replace Feng Leng with:
Feng Leng China
Dongbai Sun China
M. Deepak India
Yutaka Ota Japan
Pradyumn Chaturvedi India
José Ignacio Gárate Spain
Inho Cho South Korea
Philipp Schmidt Germany
Yulong Liu China
Shan He relative to Feng Leng China Feng Leng's profile →
Citations per field
00.5×1.5×2.1×
Feng Leng · 1×
Citations per year

Countries citing papers authored by Shan He

Since Specialization
Citations

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

Fields of papers citing papers by Shan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan He

This figure shows the co-authorship network connecting the top 25 collaborators of Shan He. A scholar is included among the top collaborators of Shan He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shan He. Shan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 12
6 2
7 0
8 3
9 2
10 4
11 1
12 0
13 1
14 0
15 2
16
A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion batterybreakdown →
282
17 22
18 40
19 12
20
A compressed best uniform approximation for fast computation of RCS over wide angular-band
2

About Shan He

Shan He is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Automotive Engineering, having authored 82 papers that have together received 748 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (31 papers), Multilevel Inverters and Converters (19 papers) and Advanced Battery Technologies Research (18 papers). The work is most often cited by research in Automotive Engineering (373 citations), Control and Systems Engineering (287 citations) and Electrical and Electronic Engineering (580 citations). Shan He has collaborated with scholars based in Denmark, China and Hong Kong. Frequent co-authors include Xin Sui, Remus Teodorescu, Daniel‐Ioan Stroe, Jinhao Meng, Søren Byg Vilsen, Frede Blaabjerg, Dao Zhou, Xiongfei Wang, Jin Huang and Min Kang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Applied 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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