Yunpeng Wang

839 citations
41 papers · 577 indexed · 1 hit paper · h-index 13
Topics
Fluid Dynamics and Turbulent Flows (26 papers)Wind and Air Flow Studies (14 papers)Computational Fluid Dynamics and Aerodynamics (8 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Fluid MechanicsJournal of Computational Physics
Partner nations
ChinaCanadaSingapore

In The Last Decade

Yunpeng Wang

36 papers receiving 559 citations

Hit Papers

A novel state-of-health estimation for the lithium-ion ba...2022202620232024202250100150200

Peers

Yunpeng Wang
Comparison fields: 5 of 67
  • Computational Mechanics 268
  • Automotive Engineering 207
  • Electrical and Electronic Engineering 145
  • Control and Systems Engineering 87
  • Environmental Engineering 86
Replace Valerio D’Alessandro with:
Valerio D’Alessandro Italy
Thomas Indinger Germany
Pierluigi Della Vecchia Italy
Zhenxu Sun China
Gareth A. Vio Australia
Kaveh Ghorbanian Iran
Carsten Proppe Germany
David G. Wilson United States
Kazuo Yonekura Japan
Anderson Pereira Brazil
Yunpeng Wang relative to Valerio D’Alessandro Italy Valerio D’Alessandro's profile →
Citations per field
00.5×3.6×
Valerio D’Alessandro · 1×
Citations per year

Countries citing papers authored by Yunpeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunpeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunpeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunpeng Wang. A scholar is included among the top collaborators of Yunpeng Wang 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 Yunpeng Wang. Yunpeng Wang 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
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6 10
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12 20
13 12
14
A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer modelbreakdown →
204
15 5
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20 44

About Yunpeng Wang

Yunpeng Wang is a scholar working on Computational Mathematics, Computational Mechanics and Environmental Engineering, having authored 41 papers that have together received 577 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (26 papers), Wind and Air Flow Studies (14 papers) and Computational Fluid Dynamics and Aerodynamics (8 papers). The work is most often cited by research in Automotive Engineering (207 citations), Computational Mechanics (268 citations) and Computational Mathematics (4 citations). Yunpeng Wang has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Roger E. Khayat, Jianchun Wang, Zelong Yuan, Chenyue Xie, Liang Zhao, Khay Wai See, Penghua Li, Xinyu Gu, Peng Chen and Xiaoning Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.

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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