Che-Ming Chang

444 citations
30 papers · 342 · h-index 11

Impact in

Papers in

    • Soft Robotics and Applications 9
    • Prosthetics and Rehabilitation Robotics 4
    • Muscle activation and electromyography studies 3
    • Advanced Sensor and Energy Harvesting Materials 2
    • Robot Manipulation and Learning 12

Che-Ming Chang

29 papers receiving 337 citations

Peers

Che-Ming Chang
Comparison fields: 5 of 75
  • Catalysis 33
  • Biomedical Engineering 116
  • Control and Systems Engineering 55
  • Human-Computer Interaction 12
  • Renewable Energy, Sustainability and the Environment 33
Replace Yu He with:
Yu He China
Lin Xi China
Yaning Wang China
Yifei Pan China
Ziyun Li United States
Xiangdong Meng China
Zifan Xu United States
Hyung-Woo Lee South Korea
Fan Cao China
Hui Ye China
Che-Ming Chang relative to Yu He China Yu He's profile →
Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Che-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Ming Chang. 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 Che-Ming Chang. The network helps show where Che-Ming Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Che-Ming Chang, 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 Che-Ming Chang Line = papers co-authored together Che-Ming Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 200944
3 202129
4 201925
5 202116
6 200915
7 200915
8 201414
9 200913
10 201912
11 201012
12 202310
13 20209
14 20208
15 20197
16 20087
17 20206
18 20216
19 20205
20 20065

About Che-Ming Chang

Che-Ming Chang is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Human-Computer Interaction, having authored 30 papers that have together received 342 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Soft Robotics and Applications (9 papers), Modular Robots and Swarm Intelligence (4 papers), Hand Gesture Recognition Systems (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Muscle activation and electromyography studies (3 papers), Semiconductor materials and interfaces (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Catalysis (33 citations), Biomedical Engineering (116 citations), Control and Systems Engineering (55 citations), Human-Computer Interaction (12 citations) and Renewable Energy, Sustainability and the Environment (33 citations). Che-Ming Chang has collaborated with scholars based in Taiwan, New Zealand and United States. Frequent co-authors include Minas Liarokapis, Lucas Gerez, Yu‐Cheng Chang, Reiyu Chein, Lih‐Juann Chen, Yen‐Cho Chen, J.N. Chung, Po‐Chun Hsu, Geng Gao and Chern‐Sheng Lin. Their work appears in journals such as Sensors, The Journal of Physical Chemistry C, Gene, Frontiers in Neurorobotics and Crystal Growth & Design.

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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