Ping‐Lang Yen

559 citations
44 papers · 459 · h-index 11

Impact in

    • Iterative Learning Control Systems
    • Robotic Mechanisms and Dynamics
    • Piezoelectric Actuators and Control
    • Robot Manipulation and Learning
    • Advanced machining processes and optimization
    • Control Systems in Engineering

Papers in

Ping‐Lang Yen

39 papers receiving 443 citations

Peers

Ping‐Lang Yen
Comparison fields: 5 of 96
  • Control and Systems Engineering 207
  • Mechanical Engineering 112
  • Biomedical Engineering 124
  • Industrial and Manufacturing Engineering 27
  • Computer Vision and Pattern Recognition 45
Replace Yulei Hou with:
Yulei Hou China
Chow Yin Lai Australia
Tangwen Yang China
Madan Mohan Rayguru India
Danyang Li China
Huang Huang China
Yangxin Xu Hong Kong
Anqi Pan China
Jinbo Wu China
Ping‐Lang Yen relative to Yulei Hou China Yulei Hou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ping‐Lang Yen

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Lang Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015121
2 200456
3 200849
4 199625
5 201120
6 200617
7 202116
8 200813
9 201912
10 200811
11 200411
12 202010
13 201210
14 20119
15 20118
16 20218
17 20198
18 20216
19 20056
20 20075

About Ping‐Lang Yen

Ping‐Lang Yen is a scholar working on Biomedical Engineering, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging, Surgery and Mechanics of Materials, having authored 44 papers that have together received 459 indexed citations. Recurring topics across this work include Soft Robotics and Applications (16 papers), Robot Manipulation and Learning (9 papers), Ultrasound Imaging and Elastography (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Robotic Mechanisms and Dynamics (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Iterative Learning Control Systems (3 papers) and Advanced Surface Polishing Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (207 citations), Mechanical Engineering (112 citations), Biomedical Engineering (124 citations), Industrial and Manufacturing Engineering (27 citations) and Computer Vision and Pattern Recognition (45 citations). Ping‐Lang Yen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mu‐Tian Yan, Minping Jia, Chengjin Zhang, Qingsong Xu, Tsung-Han Ho, Brian Davies, Kun‐Tu Yeh, Pei‐Yi Chu, Po-Lun Chen and Dar-Ren Chen. Their work appears in journals such as Mechatronics, Asian Journal of Control, International Journal of Machine Tools and Manufacture, Cryobiology 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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