Shukun Wang

3.7k citations
121 papers · 2.8k · h-index 29

Impact in

Papers in

Shukun Wang

117 papers receiving 2.8k citations

Peers

Shukun Wang
Comparison fields: 5 of 159
  • Energy Engineering and Power Technology 145
  • Statistical and Nonlinear Physics 457
  • Mechanical Engineering 1.2k
  • Renewable Energy, Sustainability and the Environment 409
  • Fluid Flow and Transfer Processes 102
Replace Mohammad Sameti with:
Mohammad Sameti Iran
Robert J. Braun United States
Roberto Bruno Italy
Chaojun Wang China
Hongsheng Wang China
Kuljeet Singh Canada
Ji Zhang China
Tao Wen China
Guoxuan Li China
Dong Yao China
Shukun Wang relative to Mohammad Sameti Iran Mohammad Sameti's profile →
Citations per field
00.5×9.3×
Mohammad Sameti · 1×
Citations per year

Countries citing papers authored by Shukun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shukun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018299
2 2017174
3 2020118
4 2022112
5 202190
6 202174
7 202063
8 201861
9 202059
10 201455
11 202152
12 202049
13 202249
14 202047
15 202147
16 201846
17 201943
18 202138
19 202038
20 201936

About Shukun Wang

Shukun Wang is a scholar working on Mechanical Engineering, Statistical and Nonlinear Physics, Renewable Energy, Sustainability and the Environment, Molecular Biology and Biomedical Engineering, having authored 121 papers that have together received 2.8k indexed citations. Recurring topics across this work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (47 papers), Advanced Thermodynamics and Statistical Mechanics (29 papers), Solar Thermal and Photovoltaic Systems (18 papers), Advanced Thermodynamic Systems and Engines (9 papers), Heat transfer and supercritical fluids (7 papers), Thermochemical Biomass Conversion Processes (7 papers), Advanced Combustion Engine Technologies (7 papers) and Subcritical and Supercritical Water Processes (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (145 citations), Statistical and Nonlinear Physics (457 citations), Mechanical Engineering (1.2k citations), Renewable Energy, Sustainability and the Environment (409 citations) and Fluid Flow and Transfer Processes (102 citations). Shukun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qibin Li, Chao Liu, Erguang Huo, Xiaoxiao Xu, Xiaonan Wang, Cheng Zhang, Zhuang Sun, Chao Liu, Liyong Xin and Xiaoxiao Xu. Their work appears in journals such as Energy, Energy Conversion and Management, Applied Thermal Engineering, Journal of Cleaner Production and Renewable Energy.

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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