Keyu Pan

25 papers receiving 377 citations

Peers

Keyu Pan
Comparison fields: 5 of 78
  • Fluid Flow and Transfer Processes 70
  • Cardiology and Cardiovascular Medicine 177
  • Cognitive Neuroscience 83
  • Automotive Engineering 36
  • Health, Toxicology and Mutagenesis 39
Replace Ki Moo Lim with:
Ki Moo Lim South Korea
Asif Rahman Bangladesh
Andrew Bates United Kingdom
Jacob Sturdy Norway
S.M. Debbal Algeria
M.P.S. Chawla India
Zhao China
M. Ahlstrom United States
Eric Helfenbein United States
Abdolrahman Peimankar New Zealand
Keyu Pan relative to Ki Moo Lim South Korea Ki Moo Lim's profile →
Citations per field
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Ki Moo Lim · 1×
Citations per year

Countries citing papers authored by Keyu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Keyu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keyu Pan, 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 Keyu Pan Line = papers co-authored together Keyu Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990195
2 202249
3 199616
4 199814
5 199513
6 199612
7 202312
8 199810
9 20058
10 20077
11 20197
12 20245
13 20235
14 20005
15 19905
16 20235
17 20214
18 20244
19 20074
20 20244

About Keyu Pan

Keyu Pan is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Materials Chemistry, having authored 28 papers that have together received 394 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (7 papers), Vehicle emissions and performance (5 papers), Catalytic Processes in Materials Science (4 papers), Combustion and flame dynamics (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Human Pose and Action Recognition (2 papers), Biodiesel Production and Applications (2 papers) and Heat transfer and supercritical fluids (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (70 citations), Cardiology and Cardiovascular Medicine (177 citations), Cognitive Neuroscience (83 citations), Automotive Engineering (36 citations) and Health, Toxicology and Mutagenesis (39 citations). Keyu Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nitish V. Thakor, Zuohua Huang, Zhou Longbao, Chang Su, Zhenyu Wu, Huixun Jia, Tao Zhang, Renjie Chen, Deming Jiang and Zhe Fan. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, SAE technical papers on CD-ROM/SAE technical paper series, Combustion Science and Technology, The Science of The Total Environment and Ecotoxicology and Environmental Safety.

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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