Ming-Yang Cheng

1.8k citations
101 papers · 1.4k · h-index 18

Impact in

Papers in

Ming-Yang Cheng

95 papers receiving 1.3k citations

Peers

Ming-Yang Cheng
Comparison fields: 5 of 71
  • Control and Systems Engineering 901
  • Computational Mechanics 442
  • Mechanical Engineering 673
  • Computer Vision and Pattern Recognition 152
  • Industrial and Manufacturing Engineering 71
Replace Syh‐Shiuh Yeh with:
Syh‐Shiuh Yeh Taiwan
Huan Zhao China
Myo–Taeg Lim Singapore
Yunjiang Lou China
Marcel Heertjes Netherlands
Panos S. Shiakolas United States
Meng-Shiun Tsai Taiwan
Kaan Erkorkmaz Canada
An‐Chen Lee Taiwan
Luigi Biagiotti Italy
Ming-Yang Cheng relative to Syh‐Shiuh Yeh Taiwan Syh‐Shiuh Yeh's profile →
Citations per field
00.5×1.5×
Syh‐Shiuh Yeh · 1×
Citations per year

Countries citing papers authored by Ming-Yang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Yang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Yang Cheng. 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 Ming-Yang Cheng. The network helps show where Ming-Yang Cheng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002163
2 2007155
3 200890
4 201275
5 200774
6 200869
7 200360
8 201344
9 201544
10 200435
11 199734
12 201134
13 201733
14 200627
15 201623
16 200022
17 202321
18 201219
19 200616
20 200616

About Ming-Yang Cheng

Ming-Yang Cheng is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Mechanics, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (28 papers), Advanced Vision and Imaging (20 papers), Advanced Numerical Analysis Techniques (19 papers), Robot Manipulation and Learning (13 papers), Electric Motor Design and Analysis (12 papers), Sensorless Control of Electric Motors (12 papers), Advanced machining processes and optimization (10 papers) and Multilevel Inverters and Converters (10 papers). The work is most often cited by research in Control and Systems Engineering (901 citations), Computational Mechanics (442 citations), Mechanical Engineering (673 citations), Computer Vision and Pattern Recognition (152 citations) and Industrial and Manufacturing Engineering (71 citations). Ming-Yang Cheng has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mi‐Ching Tsai, Jui‐Chao Kuo, Choun‐Sea Lin, Shufeng Wang, C Cheng, Wei‐Che Chang, Chi‐Hau Chen, Ming‐Shiun Tsai, Wei‐Che Tsai and Tsorng‐Juu Liang. Their work appears in journals such as International Journal of Machine Tools and Manufacture, The International Journal of Advanced Manufacturing Technology, IEEE Access, Robotics and Computer-Integrated Manufacturing and Robotica.

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.

Explore authors with similar magnitude of impact