Yu Guan

1.1k total citations
47 papers, 796 citations indexed

About

Yu Guan is a scholar working on Computational Mechanics, Computer Networks and Communications and Fluid Flow and Transfer Processes. According to data from OpenAlex, Yu Guan has authored 47 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 18 papers in Computer Networks and Communications and 14 papers in Fluid Flow and Transfer Processes. Recurrent topics in Yu Guan's work include Combustion and flame dynamics (29 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and Advanced Combustion Engine Technologies (14 papers). Yu Guan is often cited by papers focused on Combustion and flame dynamics (29 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and Advanced Combustion Engine Technologies (14 papers). Yu Guan collaborates with scholars based in Hong Kong, China and South Korea. Yu Guan's co-authors include Larry K.B. Li, Vikrant Gupta, Peijin Liu, Kyu Tae Kim, Meenatchidevi Murugesan, Kun Hong, Qingang Xiong, Wei He, Mohammad Hossein Doranehgard and Karthik Kashinath and has published in prestigious journals such as Journal of Fluid Mechanics, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Yu Guan

43 papers receiving 763 citations

Peers

Yu Guan
Comparison fields: 5 of 49
  • Computational Mechanics 510
  • Fluid Flow and Transfer Processes 219
  • Aerospace Engineering 189
  • Computer Networks and Communications 179
  • Mechanical Engineering 156
Vikrant Gupta China
Scott M. Martin United States
M. Wendeker Poland
Mirko R. Bothien Switzerland
Satyanarayanan R. Chakravarthy India
Jens Neumann Germany
Dong Yang China
Qiang An China
Hongyan Huang China
Wenzhi Gao China
Vikrant Gupta China View profile →
Citations per field, relative to Yu Guan
Yu Guan · 1×
Citations per year, relative to Yu Guan
Yu Guan · 1×

Countries citing papers authored by Yu Guan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Guan. A scholar is included among the top collaborators of Yu Guan 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 Yu Guan. Yu Guan 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
# Work Indexed citations
1 5
2 2
3 9
4 6
5 0
6 0
7 2
8 4
9 14
10 7
11 4
12 5
13 2
14 26
15 19
16 27
17 34
18 12
19 33
20 64

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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