Yon‐Ping Chen

802 citations
47 papers · 657 · h-index 12

Impact in

    • Adaptive Control of Nonlinear Systems
    • Dynamics and Control of Mechanical Systems
    • Control and Dynamics of Mobile Robots
    • Stability and Control of Uncertain Systems
    • Iterative Learning Control Systems
    • Space Satellite Systems and Control
    • Inertial Sensor and Navigation

Papers in

Yon‐Ping Chen

46 papers receiving 631 citations

Peers

Yon‐Ping Chen
Comparison fields: 5 of 59
  • Control and Systems Engineering 460
  • Aerospace Engineering 171
  • Media Technology 55
  • Computer Vision and Pattern Recognition 94
  • Artificial Intelligence 84
Replace Amir Hajiloo with:
Amir Hajiloo Iran
Chaorui Zhang China
Dipak M. Adhyaru India
Zhengwei Hu China
Yi-Hsing Chien Taiwan
Mikko Lauri Germany
Yue Zhao China
Metin Özkan Türkiye
Theo J.A. de Vries Netherlands
Alireza Mohammad Shahri Iran
Yon‐Ping Chen relative to Amir Hajiloo Iran Amir Hajiloo's profile →
Citations per field
00.5×3.3×
Amir Hajiloo · 1×
Citations per year

Countries citing papers authored by Yon‐Ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yon‐Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yon‐Ping Chen. 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 Yon‐Ping Chen. The network helps show where Yon‐Ping Chen may publish in the future.

Co-authors

The 7 scholars most cited alongside Yon‐Ping Chen, 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 Yon‐Ping Chen Line = papers co-authored together Yon‐Ping Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995236
2 201249
3 200445
4 200130
5 200030
6 201128
7 199924
8 201121
9
Sliding-Mode Force Control of Manipulators
199917
10 201914
11 200014
12 201612
13 200011
14 199310
15 20118
16 19988
17 20208
18 20077
19 20097
20 20207

About Yon‐Ping Chen

Yon‐Ping Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research, Electrical and Electronic Engineering and Artificial Intelligence, having authored 47 papers that have together received 657 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Grey System Theory Applications (8 papers), Dynamics and Control of Mechanical Systems (7 papers), Stability and Control of Uncertain Systems (6 papers), Advanced Control Systems Design (5 papers), Control and Dynamics of Mobile Robots (5 papers), Face and Expression Recognition (4 papers) and Iterative Learning Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (460 citations), Aerospace Engineering (171 citations), Media Technology (55 citations), Computer Vision and Pattern Recognition (94 citations) and Artificial Intelligence (84 citations). Yon‐Ping Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Shih‐Che Lo, Jeang‐Lin Chang, Wei‐Ren Chen, Yu-Ting Chen, Shuting Yang, Yu‐Wen Yeh and Yung‐Sheng Chang. Their work appears in journals such as Asian Journal of Control, International Journal of Fuzzy Systems, Journal of Vibration and Control, IEEE Access and International Journal of Systems Science.

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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