J.Y.S. Luh

3.7k citations
58 papers · 2.5k indexed · 1 hit paper · h-index 16

J.Y.S. Luh

51 papers receiving 2.3k citations

Hit Papers

On-Line Computational Scheme for Mechanical Manipulators1.1k19802026199520102505007501000

Peers

J.Y.S. Luh
Comparison fields: 5 of 85
  • Control and Systems Engineering 2.1k
  • Computer Vision and Pattern Recognition 539
  • Hardware and Architecture 142
  • Mechanical Engineering 650
  • Industrial and Manufacturing Engineering 154
Replace M.G. Rodd with:
M.G. Rodd United Kingdom
A.K. Bejczy United States
Anders Robertsson Sweden
R. Volpe United States
A. Frank van der Stappen Netherlands
Wyatt S. Newman United States
J. Luh United States
Charles A. Klein United States
Seul Jung South Korea
Torsten Kröger Germany
J.Y.S. Luh relative to M.G. Rodd United Kingdom M.G. Rodd's profile →
Citations per field
00.5×1.5×2.5×
M.G. Rodd · 1×
Citations per year

Countries citing papers authored by J.Y.S. Luh

Since Specialization
Citations

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

Fields of papers citing papers by J.Y.S. Luh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.Y.S. Luh. 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 J.Y.S. Luh. The network helps show where J.Y.S. Luh may publish in the future.

Co-authorship network

The 15 scholars most cited alongside J.Y.S. Luh, 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 J.Y.S. Luh Line = papers co-authored together J.Y.S. Luh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20039
2 20023
3 20021
4 200225
5 20023
6 20022
7 200284
8 19953
9 199220
10 19923
11 198977
12 198813
13
Robotics research reflecting practical education
19861
14 198533
15 198443
16 1983195
17 198118
18 1981127
19 19700
20 19681

About J.Y.S. Luh

J.Y.S. Luh is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (23 papers), Robotic Mechanisms and Dynamics (21 papers), Robotic Path Planning Algorithms (11 papers), Teleoperation and Haptic Systems (7 papers), Petri Nets in System Modeling (6 papers), Dynamics and Control of Mechanical Systems (6 papers), Soft Robotics and Applications (6 papers) and Flexible and Reconfigurable Manufacturing Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Computer Vision and Pattern Recognition (539 citations), Hardware and Architecture (142 citations), Mechanical Engineering (650 citations) and Industrial and Manufacturing Engineering (154 citations). J.Y.S. Luh has collaborated with scholars based in United States. Frequent co-authors include Richard P. Paul, Michael Walker, Choun‐Sea Lin, Yuhan Zheng, Yuan F. Zheng, Rajiv Dubey, Mohsen Shahinpoor, Chen Qin, Qiushi Chen and Christina Harvey. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, Computers in Industry, Pattern Recognition, Journal of Optimization Theory and Applications and IEEE Transactions on Robotics and Automation.

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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