Ken Chen

746 citations
47 papers · 543 · h-index 15

Impact in

    • Optical measurement and interference techniques
    • Advanced Vision and Imaging
    • Image and Video Quality Assessment
    • Advanced Image Processing Techniques
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Ken Chen

44 papers receiving 514 citations

Peers

Ken Chen
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 313
  • Geology 54
  • Human-Computer Interaction 43
  • Instrumentation 24
  • Media Technology 57
Replace Marta Marrón-Romera with:
Marta Marrón-Romera Spain
Jan Fischer Germany
Frédéric Lerasle France
Xiaoguang Zhao China
Haris Baltzakis Greece
Julius Kammerl Germany
Nicola Tomatis Switzerland
Patrick Benavidez United States
Enrico Grosso Italy
Leopoldo Sánchez Spain
Ken Chen relative to Marta Marrón-Romera Spain Marta Marrón-Romera's profile →
Citations per field
00.5×6.8×
Marta Marrón-Romera · 1×
Citations per year

Countries citing papers authored by Ken Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ken Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Chen. 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 Ken Chen. The network helps show where Ken Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 201241
3 201939
4 201935
5 200932
6 201627
7 201624
8 201724
9 199021
10 201019
11 201718
12 201618
13 202117
14 201715
15 202115
16 201614
17 201413
18 201710
19 200410
20 201910

About Ken Chen

Ken Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Human-Computer Interaction, Control and Systems Engineering and Signal Processing, having authored 47 papers that have together received 543 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (9 papers), Advanced Vision and Imaging (9 papers), Robotic Path Planning Algorithms (6 papers), Advanced Measurement and Metrology Techniques (6 papers), Virtual Reality Applications and Impacts (5 papers), Robotic Mechanisms and Dynamics (5 papers), Robot Manipulation and Learning (5 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Geology (54 citations), Human-Computer Interaction (43 citations), Instrumentation (24 citations) and Media Technology (57 citations). Ken Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Jing Xu, Chenglong Fu, Gangyi Jiang, Feng Shao, Mei Yu, Yo‐Sung Ho, Xiangdong Yang, Jianguo Zhao, Saâdi Boudjit and Yasir Faheem. Their work appears in journals such as Assembly Automation, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Consumer Electronics, Information Sciences and Sensors.

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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