Shuo-Lin Wang

1.1k citations
28 papers · 868 · h-index 16

Impact in

Papers in

Shuo-Lin Wang

27 papers receiving 841 citations

Peers

Shuo-Lin Wang
Comparison fields: 5 of 52
  • Surfaces, Coatings and Films 210
  • Mechanical Engineering 496
  • Computational Mechanics 249
  • Biomedical Engineering 230
  • Renewable Energy, Sustainability and the Environment 58
Replace Elizaveta Ya. Gatapova with:
Elizaveta Ya. Gatapova Russia
Baojin Qi China
Ben-Xi Zhang China
Ching‐Wen Lo Taiwan
Md Mahamudur Rahman United States
Nadia Caney France
Chaoqun Shen China
Patricia B. Weisensee United States
Qingjun Cai United States
Gisuk Hwang United States
Shuo-Lin Wang relative to Elizaveta Ya. Gatapova Russia Elizaveta Ya. Gatapova's profile →
Citations per field
00.5×
Elizaveta Ya. Gatapova · 1×
Citations per year

Countries citing papers authored by Shuo-Lin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo-Lin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuo-Lin 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 Shuo-Lin Wang Line = papers co-authored together Shuo-Lin Wang 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 2018106
2 201890
3 201987
4 202179
5 202063
6 201959
7 202056
8 202052
9 202241
10 202130
11 201922
12 202119
13 202119
14 202118
15 202117
16 201716
17 202114
18 201714
19 202313
20 202012

About Shuo-Lin Wang

Shuo-Lin Wang is a scholar working on Computational Mechanics, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Atmospheric Science and Mechanical Engineering, having authored 28 papers that have together received 868 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (11 papers), Fluid Dynamics and Heat Transfer (7 papers), nanoparticles nucleation surface interactions (7 papers), Heat Transfer Mechanisms (6 papers), Heat Transfer and Optimization (6 papers), Nanomaterials and Printing Technologies (4 papers), Electrohydrodynamics and Fluid Dynamics (4 papers) and Fluid Dynamics and Thin Films (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (210 citations), Mechanical Engineering (496 citations), Computational Mechanics (249 citations), Biomedical Engineering (230 citations) and Renewable Energy, Sustainability and the Environment (58 citations). Shuo-Lin Wang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Xiaodong Wang, Yan‐Ru Yang, Xianyang Li, Ben-Xi Zhang, Gui Lu, Duu‐Jong Lee, Xin He, Tian-Hu Wang, Shao-Fei Zheng and Yibo Wang. Their work appears in journals such as International Journal of Thermal Sciences, Physics of Fluids, Journal of Molecular Liquids, Langmuir and Journal of the Taiwan Institute of Chemical Engineers.

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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