Mu‐Tian Yan

802 citations
24 papers · 614 · h-index 15

Impact in

Papers in

Mu‐Tian Yan

24 papers receiving 575 citations

Peers

Mu‐Tian Yan
Comparison fields: 5 of 36
  • Mechanical Engineering 492
  • Biomedical Engineering 362
  • Electrical and Electronic Engineering 453
  • Control and Systems Engineering 172
  • Industrial and Manufacturing Engineering 36
Replace Raymond Snoeys with:
Raymond Snoeys Belgium
Takaaki OIWA Japan
D.I. Lalwani India
Frank Wardle United Kingdom
Jeremiah E. Halley United States
Brian S. Dutterer United States
Chao Tan China
Kuang-Hua Fuh Taiwan
Grégoire Peigne France
A.L. Iglesias Hungary
Mu‐Tian Yan relative to Raymond Snoeys Belgium Raymond Snoeys's profile →
Citations per field
00.5×3.4×
Raymond Snoeys · 1×
Citations per year

Countries citing papers authored by Mu‐Tian Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mu‐Tian Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Tian Yan. 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 Mu‐Tian Yan. The network helps show where Mu‐Tian Yan may publish in the future.

Co-authors

The 5 scholars most cited alongside Mu‐Tian Yan, 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 Mu‐Tian Yan Line = papers co-authored together Mu‐Tian Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200770
2 200763
3 200460
4 200453
5 200851
6 200648
7 201039
8 200431
9 200930
10 200723
11 201223
12 201120
13 200920
14 201414
15 200714
16 201511
17 201610
18 201910
19 20089
20 20086

About Mu‐Tian Yan

Mu‐Tian Yan is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering and Materials Chemistry, having authored 24 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (18 papers), Advanced Machining and Optimization Techniques (16 papers), Advanced Surface Polishing Techniques (15 papers), Control Systems in Engineering (4 papers), Iterative Learning Control Systems (4 papers), Piezoelectric Actuators and Control (4 papers), Shape Memory Alloy Transformations (3 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Mechanical Engineering (492 citations), Biomedical Engineering (362 citations), Electrical and Electronic Engineering (453 citations), Control and Systems Engineering (172 citations) and Industrial and Manufacturing Engineering (36 citations). Mu‐Tian Yan has collaborated with scholars based in Taiwan and China. Frequent co-authors include Ping‐Lang Yen, Yiting Liu, Kuo-Yi Huang, Chen‐Wei Huang and Jiancheng Lai. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Machine Tools and Manufacture, Journal of Materials Processing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and Mechatronics.

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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