Wan Shan Wang

640 citations
57 papers · 530 · h-index 5

Impact in

Papers in

Wan Shan Wang

51 papers receiving 517 citations

Peers

Wan Shan Wang
Comparison fields: 5 of 55
  • Mechanical Engineering 395
  • Biomedical Engineering 413
  • Computational Mechanics 93
  • Ecological Modeling 14
  • Civil and Structural Engineering 65
Replace Li Da Zhu with:
Li Da Zhu China
Olivier Cahuc France
Hans‐Werner Hoffmeister Germany
Keng Soon Woon Singapore
Jens Sölter Germany
S. J. Wang China
Hiromichi Onikura Japan
Behnam Bahr United States
V. Madhavan United States
Mingsheng Jin China
Wan Shan Wang relative to Li Da Zhu China Li Da Zhu's profile →
Citations per field
00.5×1.5×
Li Da Zhu · 1×
Citations per year

Countries citing papers authored by Wan Shan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wan Shan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016149
2 2015125
3 2017112
4 201757
5 20116
6 20084
7 20114
8 20114
9 20123
10 20103
11 20093
12 20113
13 20123
14 20063
15 20103
16 20102
17 20132
18 20082
19 20122
20 20052

About Wan Shan Wang

Wan Shan Wang is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 57 papers that have together received 530 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (28 papers), Advanced Surface Polishing Techniques (20 papers), Tunneling and Rock Mechanics (9 papers), Industrial Technology and Control Systems (7 papers), Tribology and Lubrication Engineering (6 papers), Manufacturing Process and Optimization (6 papers), Gear and Bearing Dynamics Analysis (5 papers) and Iterative Learning Control Systems (4 papers). The work is most often cited by research in Mechanical Engineering (395 citations), Biomedical Engineering (413 citations), Computational Mechanics (93 citations), Ecological Modeling (14 citations) and Civil and Structural Engineering (65 citations). Wan Shan Wang has collaborated with scholars based in Mexico, United States and China. Frequent co-authors include Tianbiao Yu, Li Da Zhu, Haonan Li, Peng Guan, Jian Yang, Chong Su, Hu Li, Shijie Wang, Bo Wang and Xing Jiang. Their work appears in journals such as Advanced materials research, Applied Mechanics and Materials, Key engineering materials, International Journal of Mechanical Sciences and Materials & Design.

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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