Ping‐Lang Yen

552 citations
41 papers · 414 · 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
    • Teleoperation and Haptic Systems

Papers in

Ping‐Lang Yen

36 papers receiving 398 citations

Peers

Ping‐Lang Yen
Comparison fields: 5 of 93
  • Control and Systems Engineering 196
  • Mechanical Engineering 106
  • Biomedical Engineering 118
  • Industrial and Manufacturing Engineering 23
  • Computer Vision and Pattern Recognition 32
Replace Yulei Hou with:
Yulei Hou China
Jianguo Tao China
Tangwen Yang China
Yongfeng Ju China
Tan Zhang China
Hua Shen China
Luciano Nava‐Balanzar Mexico
Gilbert-Rainer Gillich Romania
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 200453
3 200844
4 199624
5 201120
6 200617
7 202114
8 200813
9 201912
10 200811
11 201210
12 202010
13 20049
14 20118
15 20118
16 20217
17 20056
18 20075
19 20225
20 20214

About Ping‐Lang Yen

Ping‐Lang Yen is a scholar working on Biomedical Engineering, Control and Systems Engineering, Surgery, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials, having authored 41 papers that have together received 414 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), Robotic Mechanisms and Dynamics (5 papers), Total Knee Arthroplasty Outcomes (5 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Anatomy and Medical Technology (4 papers) and Prosthetics and Rehabilitation Robotics (4 papers). The work is most often cited by research in Control and Systems Engineering (196 citations), Mechanical Engineering (106 citations), Biomedical Engineering (118 citations), Industrial and Manufacturing Engineering (23 citations) and Computer Vision and Pattern Recognition (32 citations). Ping‐Lang Yen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mu‐Tian Yan, Chengjin Zhang, Qingsong Xu, Minping Jia, Brian Davies, Kun‐Tu Yeh, Pei‐Yi Chu, Po-Lun Chen, Dar‐Ren Chen and Dar-Ren Chen. Their work appears in journals such as Mechatronics, Robotica, International Journal of Machine Tools and Manufacture, IEEE Robotics and Automation Letters and Cryobiology.

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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