Kenny Chen

11 papers receiving 372 citations

Kenny Chen's Hit Papers

Direct LiDAR Odometry: Fast Localization With Dense Point Clouds 2022 · 164 citations
1640+1+2Years since publication50100150

Peers

Kenny Chen
Comparison fields: 5 of 67
  • Geology 91
  • Aerospace Engineering 231
  • Computer Vision and Pattern Recognition 164
  • Instrumentation 18
  • Environmental Engineering 63
Replace Julian Ryde with:
Julian Ryde United States
Ralf Kaestner Switzerland
Josip Ćesić Croatia
Hatem Alismail United States
Anpei Chen Germany
Visesh Chari India
Yifeng Lu China
Antoni Rosinol Vidal United States
Daiyi Peng United States
Kenny Chen relative to Julian Ryde United States Julian Ryde's profile →
Citations per field
00.5×5×10×15×20×25×
Julian Ryde · 1×
Citations per year

Countries citing papers authored by Kenny Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kenny Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Direct LiDAR Odometry: Fast Localization With Dense Point Clouds
Hit paper breakdown →
2022164
2 2023103
3 201852
4 201739
5 202210
6 20247
7 20116
8 20245
9 20234
10 20211
11 19921
12 20250

About Kenny Chen

Kenny Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Acoustics and Ultrasonics, Family Practice and Instrumentation, having authored 12 papers that have together received 392 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers), Advanced Vision and Imaging (2 papers), Clinical Reasoning and Diagnostic Skills (1 paper), Robotics and Automated Systems (1 paper), Digital Holography and Microscopy (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Advanced Optical Imaging Technologies (1 paper). The work is most often cited by research in Geology (91 citations), Aerospace Engineering (231 citations), Computer Vision and Pattern Recognition (164 citations), Instrumentation (18 citations) and Environmental Engineering (63 citations). Kenny Chen has collaborated with scholars based in United States and Canada. Frequent co-authors include Brett T. Lopez, Ali–akbar Agha–mohammadi, Ankur Mehta, Abhijit Mahalanobis, Bahram Javidi, Adam S. Markman, David D. Gonda, Sonya G. Wang, Shifteh Sattar and Orrin Devinsky. Their work appears in journals such as Combustion and Flame, Applied Optics, Optical Engineering, IEEE Robotics and Automation Letters and IEEE Journal of Translational Engineering in Health and Medicine.

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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