Yi Wan

185 papers receiving 2.8k citations

Peers

Yi Wan
Comparison fields: 5 of 131
  • Mechanical Engineering 1.6k
  • Biomedical Engineering 1.4k
  • Industrial and Manufacturing Engineering 312
  • Automotive Engineering 269
  • Orthodontics 86
Replace Liam Blunt with:
Liam Blunt United Kingdom
Hongya Fu China
Narendra B. Dahotre United States
A.R. Bushroa Malaysia
Zhanqiang Liu China
Mohammad Vaezi Iran
Shubhabrata Datta India
Yves Rémond France
E. Zalnezhad Malaysia
Yi Wan relative to Liam Blunt United Kingdom Liam Blunt's profile →
Citations per field
00.5×1.5×2.3×
Liam Blunt · 1×
Citations per year

Countries citing papers authored by Yi Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020157
2 2020105
3 200894
4 202092
5 201689
6 200281
7 201671
8 201569
9 201355
10 202054
11 201353
12 201546
13 200941
14 201541
15 201641
16 201840
17 202036
18 202235
19 201834
20 201834

About Yi Wan

Yi Wan is a scholar working on Mechanical Engineering, Biomedical Engineering, Orthodontics, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 201 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (62 papers), Bone Tissue Engineering Materials (40 papers), Advanced Machining and Optimization Techniques (33 papers), Advanced Surface Polishing Techniques (32 papers), Titanium Alloys Microstructure and Properties (18 papers), Orthopaedic implants and arthroplasty (15 papers), Additive Manufacturing and 3D Printing Technologies (14 papers) and Manufacturing Process and Optimization (10 papers). The work is most often cited by research in Mechanical Engineering (1.6k citations), Biomedical Engineering (1.4k citations), Industrial and Manufacturing Engineering (312 citations), Automotive Engineering (269 citations) and Orthodontics (86 citations). Yi Wan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhanqiang Liu, Qinghua Song, Bing Wang, Zhanqiang Liu, Jiahao Shi, Bing Ren, Zhenyu Shi, Xing Ai, Yukui Cai and Mingzhi Yu. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Journal of Materials Processing Technology, International Journal of Mechanical Sciences and IEEE Robotics and Automation Letters.

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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