Jun Ping Yang

560 citations
43 papers · 376 · h-index 12

Impact in

Papers in

    • Adaptive Control of Nonlinear Systems 15
    • Iterative Learning Control Systems 8
    • Control Systems and Identification 6
    • Advanced Control Systems Optimization 6
    • Stability and Control of Uncertain Systems 4
    • Fault Detection and Control Systems 3

Jun Ping Yang

37 papers receiving 367 citations

Peers

Jun Ping Yang
Comparison fields: 5 of 49
  • Control and Systems Engineering 273
  • Aerospace Engineering 59
  • Computational Theory and Mathematics 37
  • Mechanical Engineering 62
  • Energy Engineering and Power Technology 5
Replace Nazila Nikdel with:
Nazila Nikdel Iran
Kamal Rsetam Australia
Cao Van Kien Vietnam
Shuangshuang Xiong China
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Antonio Estrada Mexico
S. Shao United States
Mohamed Boukattaya Tunisia
Tzu-Chun Kuo Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Jun Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ping Yang. 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 Jun Ping Yang. The network helps show where Jun Ping Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 201958
3 202322
4 202022
5 200618
6 201914
7 201913
8 202313
9 201813
10 201212
11 202412
12 201812
13 202410
14 202010
15 20249
16 20239
17 20238
18 19907
19 20176
20 20144

About Jun Ping Yang

Jun Ping Yang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 43 papers that have together received 376 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (15 papers), Iterative Learning Control Systems (8 papers), Control Systems and Identification (6 papers), Advanced Control Systems Optimization (6 papers), Adaptive Dynamic Programming Control (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Stability and Control of Uncertain Systems (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (273 citations), Aerospace Engineering (59 citations), Computational Theory and Mathematics (37 citations), Mechanical Engineering (62 citations) and Energy Engineering and Power Technology (5 citations). Jun Ping Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jing Na, Guanbin Gao, Haoyong Yu, Xiaohui Xiao, Dongdong Zheng, Jie Ling, Zhao Feng, Shubo Wang, Chenguang Yang and Kaixin Lu. Their work appears in journals such as Mechanism and Machine Theory, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing and International Journal of Adaptive Control and Signal Processing.

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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