Shengyi Liu

2.0k citations
21 papers · 1.6k indexed · 1 hit paper · h-index 9
Topics
solar cell performance optimization (7 papers)Photovoltaic System Optimization Techniques (6 papers)Epilepsy research and treatment (5 papers)

In The Last Decade

Shengyi Liu

19 papers receiving 1.4k citations

Hit Papers

Dynamic lithium-ion battery model for system simulation20022026201020182002200400600

Peers

Shengyi Liu
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 1.1k
  • Automotive Engineering 671
  • Renewable Energy, Sustainability and the Environment 603
  • Control and Systems Engineering 261
  • Artificial Intelligence 199
Replace Goro Fujita with:
Goro Fujita Japan
Yi-Hsuan Hung Taiwan
Fabio Corti Italy
Marek Jasiński Poland
Habiballah Rahimi-Eichi United States
Ankit Kumar Yadav India
Paul Jennings United Kingdom
Chao Wei China
Yenan Chen China
Jeffrey Wishart United States
Shengyi Liu relative to Goro Fujita Japan Goro Fujita's profile →
Citations per field
00.5×6.6×
Goro Fujita · 1×
Citations per year

Countries citing papers authored by Shengyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shengyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengyi Liu. A scholar is included among the top collaborators of Shengyi Liu 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 Shengyi Liu. Shengyi Liu 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 0
2 2
3 0
4 2
5 3
6 2
7 1
8 151
9 68
10 10
11 373
12 10
13 1
14 1
15 14
16 2
17 2
18 285
19
Dynamic lithium-ion battery model for system simulationbreakdown →
623
20
Using the Virtual Test Bed for Virtual Prototyping of Advanced Power Systems
2

About Shengyi Liu

Shengyi Liu is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering and Immunology and Allergy, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include solar cell performance optimization (7 papers), Photovoltaic System Optimization Techniques (6 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Automotive Engineering (671 citations), Renewable Energy, Sustainability and the Environment (603 citations) and Energy Engineering and Power Technology (60 citations). Shengyi Liu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Roger A. Dougal, Lijun Gao, Lijun Gao, Yong Liu, Ying Liu, Juan Meng, C. Bachert, Nan Zhang, Luo Ba and Ping Lin. Their work appears in journals such as Nature Communications, Brain Research 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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