Chee–Meng Chew

3.0k citations
134 papers · 2.2k · h-index 23

Impact in

Papers in

Chee–Meng Chew

130 papers receiving 2.1k citations

Peers

Chee–Meng Chew
Comparison fields: 5 of 100
  • Biomedical Engineering 1.4k
  • Physical Therapy, Sports Therapy and Rehabilitation 115
  • Control and Systems Engineering 636
  • Cognitive Neuroscience 401
  • Rehabilitation 115
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Yoky Matsuoka United States
Tsukasa Ogasawara Japan
Andrea Cherubini France
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E.R. Bachmann United States
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Dong‐Soo Kwon South Korea
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Citations per year

Countries citing papers authored by Chee–Meng Chew

Since Specialization
Citations

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

Fields of papers citing papers by Chee–Meng Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee–Meng Chew. 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 Chee–Meng Chew. The network helps show where Chee–Meng Chew may publish in the future.

Co-authors

The 25 scholars most cited alongside Chee–Meng Chew, 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 Chee–Meng Chew Line = papers co-authored together Chee–Meng Chew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001394
2 2008245
3 2004126
4 2005107
5 201971
6 200561
7 200853
8 200248
9 201544
10 201742
11 200839
12 200337
13 200929
14 201828
15 200728
16 201926
17 200926
18 200726
19 200724
20 200824

About Chee–Meng Chew

Chee–Meng Chew is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 134 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (44 papers), Prosthetics and Rehabilitation Robotics (42 papers), Robot Manipulation and Learning (29 papers), Muscle activation and electromyography studies (24 papers), Biomimetic flight and propulsion mechanisms (13 papers), Robotic Mechanisms and Dynamics (11 papers), Robotic Path Planning Algorithms (10 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Physical Therapy, Sports Therapy and Rehabilitation (115 citations), Control and Systems Engineering (636 citations), Cognitive Neuroscience (401 citations) and Rehabilitation (115 citations). Chee–Meng Chew has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Gill A. Pratt, Jerry Pratt, Keng Peng Tee, Etienne Burdet, Theodore E. Milner, Y. Zheng, Geok Soon Hong, Mitsuo Kawato, David W. Franklin and Rieko Osu. Their work appears in journals such as Robotica, Robotics and Autonomous Systems, Journal of Mechanisms and Robotics, Neurocomputing 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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