Chaoyi Wan

623 citations
21 papers · 531 · h-index 11

Impact in

Papers in

Chaoyi Wan

21 papers receiving 507 citations

Peers

Chaoyi Wan
Comparison fields: 5 of 38
  • Computational Mechanics 369
  • Mechanical Engineering 472
  • Aerospace Engineering 180
  • Automotive Engineering 31
  • Biomedical Engineering 69
Replace V.S. Devahdhanush with:
V.S. Devahdhanush United States
Lei Xi China
Sung-Min Kim South Korea
J. M. Sáiz Jabardo Spain
Hossein Khaleghi Iran
Jonathan Hartland United Kingdom
Masahito Nishikawara Japan
Zhaoqing Ke China
Axel Sielaff Germany
Cristiano Tibiriçá Brazil
Chaoyi Wan relative to V.S. Devahdhanush United States V.S. Devahdhanush's profile →
Citations per field
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V.S. Devahdhanush · 1×
Citations per year

Countries citing papers authored by Chaoyi Wan

Since Specialization
Citations

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

Fields of papers citing papers by Chaoyi Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Chaoyi Wan, 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 Chaoyi Wan Line = papers co-authored together Chaoyi Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 201575
3 201275
4 201161
5 201558
6 201150
7 201235
8 201018
9 201515
10 201315
11 202110
12 20207
13 20207
14 20096
15 20094
16 20163
17 20113
18 20193
19 20202
20 20102

About Chaoyi Wan

Chaoyi Wan is a scholar working on Mechanical Engineering, Computational Mechanics, Automotive Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 21 papers that have together received 531 indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (13 papers), Fluid Dynamics and Turbulent Flows (10 papers), Heat Transfer and Optimization (7 papers), Advanced Battery Technologies Research (6 papers), Turbomachinery Performance and Optimization (4 papers), Electric Vehicles and Infrastructure (3 papers), Electric and Hybrid Vehicle Technologies (2 papers) and Heat Transfer and Boiling Studies (2 papers). The work is most often cited by research in Computational Mechanics (369 citations), Mechanical Engineering (472 citations), Aerospace Engineering (180 citations), Automotive Engineering (31 citations) and Biomedical Engineering (69 citations). Chaoyi Wan has collaborated with scholars based in China and United States. Frequent co-authors include Yu Rao, Yamin Xu, Yuyang Liu, Shusheng Zang, Peng Chen, Xiang Zhang, Yu Wang, Xiyuan Zhang, Cong Fu and Keith Savino. Their work appears in journals such as International Journal of Heat and Mass Transfer, International Journal of Thermal Sciences, Journal of Heat Transfer, Ionics and Chinese Optics 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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