Min Wan

9.2k citations
330 papers · 7.4k · h-index 47

Impact in

Papers in

    • Advanced machining processes and optimization 122
    • Metal Forming Simulation Techniques 101
    • Advanced Measurement and Metrology Techniques 28
    • Metallurgy and Material Forming 107

Min Wan

313 papers receiving 7.2k citations

Peers

Min Wan
Comparison fields: 5 of 111
  • Mechanical Engineering 5.9k
  • Industrial and Manufacturing Engineering 1.3k
  • Mechanics of Materials 1.7k
  • Biomedical Engineering 2.6k
  • Computational Mechanics 834
Replace D. K. Wang with:
D. K. Wang China
Mamidala RAMULU United States
Jesper Henri Hattel Denmark
Nima Shamsaei United States
Lin Hua China
Dinghua Zhang China
Tarek Mabrouki France
Claus Emmelmann Germany
Milton C. SHAW United States
Helmi Attia Canada
Min Wan relative to D. K. Wang China D. K. Wang's profile →
Citations per field
00.5×2×2.8×
D. K. Wang · 1×
Citations per year

Countries citing papers authored by Min Wan

Since Specialization
Citations

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

Fields of papers citing papers by Min Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 330 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016157
2 2012146
3 2006137
4 2009129
5 2020122
6 2011117
7 2022105
8 2002105
9 2019102
10 2009100
11 201898
12 201597
13 200897
14 201796
15 202089
16 201786
17 201686
18 201882
19 201976
20 201876

About Min Wan

Min Wan is a scholar working on Mechanical Engineering, Mechanics of Materials, Biomedical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 330 papers that have together received 7.4k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (122 papers), Metallurgy and Material Forming (107 papers), Advanced Surface Polishing Techniques (101 papers), Metal Forming Simulation Techniques (101 papers), Advanced Machining and Optimization Techniques (53 papers), Microstructure and mechanical properties (52 papers), Laser and Thermal Forming Techniques (29 papers) and Advanced Measurement and Metrology Techniques (28 papers). The work is most often cited by research in Mechanical Engineering (5.9k citations), Industrial and Manufacturing Engineering (1.3k citations), Mechanics of Materials (1.7k citations), Biomedical Engineering (2.6k citations) and Computational Mechanics (834 citations). Min Wan has collaborated with scholars based in China, France and Singapore. Frequent co-authors include Weihong Zhang, Yun Seok Yang, Bao Meng, Xiangdong Wu, Yingchao Ma, W.H. Zhang, Guohua Qin, Jia Ping Feng, Qun-Bao Xiao and Yong-Gui Chen. Their work appears in journals such as International Journal of Mechanical Sciences, International Journal of Machine Tools and Manufacture, Journal of Manufacturing Processes, Journal of Materials Processing Technology and The International Journal of Advanced Manufacturing Technology.

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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