Chao-Chieh Lan

2.2k citations
75 papers · 1.7k · h-index 23

Impact in

Papers in

    • Soft Robotics and Applications 33
    • Prosthetics and Rehabilitation Robotics 27
    • Muscle activation and electromyography studies 17
    • Robot Manipulation and Learning 22
    • Piezoelectric Actuators and Control 19
    • Robotic Mechanisms and Dynamics 11

Chao-Chieh Lan

70 papers receiving 1.6k citations

Peers

Chao-Chieh Lan
Comparison fields: 5 of 74
  • Control and Systems Engineering 816
  • Rehabilitation 200
  • Biomedical Engineering 864
  • Civil and Structural Engineering 417
  • Mechanical Engineering 398
Replace Bin Zi with:
Bin Zi China
Jean‐Sébastien Plante Canada
Reymond Clavel Switzerland
Mehrdad R. Kermani Canada
Hassan Zohoor Iran
Gabriele Vassura Italy
Farid Amirouche United States
Hiroyuki Nabae Japan
Feifei Chen China
Uikyum Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Chao-Chieh Lan

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Chieh Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Chieh Lan. 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 Chao-Chieh Lan. The network helps show where Chao-Chieh Lan may publish in the future.

Co-authors

The 24 scholars most cited alongside Chao-Chieh Lan, 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 Chao-Chieh Lan Line = papers co-authored together Chao-Chieh Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 2012107
3 201792
4 201083
5 201483
6 201080
7 201369
8 200865
9 201552
10 201549
11 201448
12 200947
13 200542
14 201040
15 201239
16 201936
17 201930
18 201629
19 201327
20 201724

About Chao-Chieh Lan

Chao-Chieh Lan is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Rehabilitation and Materials Chemistry, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Soft Robotics and Applications (33 papers), Prosthetics and Rehabilitation Robotics (27 papers), Robot Manipulation and Learning (22 papers), Piezoelectric Actuators and Control (19 papers), Muscle activation and electromyography studies (17 papers), Stroke Rehabilitation and Recovery (13 papers), Robotic Mechanisms and Dynamics (11 papers) and Shape Memory Alloy Transformations (10 papers). The work is most often cited by research in Control and Systems Engineering (816 citations), Rehabilitation (200 citations), Biomedical Engineering (864 citations), Civil and Structural Engineering (417 citations) and Mechanical Engineering (398 citations). Chao-Chieh Lan has collaborated with scholars based in Taiwan, United States and Norway. Frequent co-authors include Yi-Syuan Wu, Chien Li, Dian-Fu Chen, Kuan‐Yi Wu, Chih-Chieh Chen, Yijie Chen, Yu-Hsuan Lai, Kok-Meng Lee, Chun-Hung Huang and Kok‐Meng Lee. Their work appears in journals such as Mechanism and Machine Theory, Journal of Mechanical Design, IEEE/ASME Transactions on Mechatronics, IEEE Access 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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