R.C. Luo

41 papers receiving 852 citations

Peers

R.C. Luo
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 289
  • Control and Systems Engineering 247
  • Human-Computer Interaction 54
  • Aerospace Engineering 200
  • Artificial Intelligence 242
Replace Felipe Espinosa with:
Felipe Espinosa Spain
M.C. Nechyba United States
Hong Bao China
Alex Teichman United States
Soeren Kammel Germany
Alfredo Gardel Spain
Carlos Sampedro Spain
Mignon Park South Korea
Zulfiqar Habib Pakistan
Jan Becker Germany
R.C. Luo relative to Felipe Espinosa Spain Felipe Espinosa's profile →
Citations per field
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Felipe Espinosa · 1×
Citations per year

Countries citing papers authored by R.C. Luo

Since Specialization
Citations

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

Fields of papers citing papers by R.C. Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.C. Luo. 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 R.C. Luo. The network helps show where R.C. Luo may publish in the future.

Co-authors

The 19 scholars most cited alongside R.C. Luo, 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 R.C. Luo Line = papers co-authored together R.C. Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002414
2 200250
3 200148
4 200531
5 199829
6 199729
7 200226
8 200325
9 200323
10 200322
11 200220
12 200218
13 200315
14 200215
15 200314
16
OBJECT RECOGNITION WITH COMBINED TACTILE AND VISUAL INFORMATION.
198414
17 200613
18 200312
19 200210
20 20039

About R.C. Luo

R.C. Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 44 papers that have together received 923 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (15 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Robotics and Sensor-Based Localization (7 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Fault Detection and Control Systems (5 papers), Reinforcement Learning in Robotics (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (289 citations), Control and Systems Engineering (247 citations), Human-Computer Interaction (54 citations), Aerospace Engineering (200 citations) and Artificial Intelligence (242 citations). R.C. Luo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuo Su, Chih‐Chen Yih, Michael G. Kay, Kai Su, Meng-Hsien Lin, Ming-Hung Lin, Wen‐Hsiang Tsai, Jane Lin, Lai Tu and Jun Hu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Communications in Nonlinear Science and Numerical Simulation, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Transactions on Signal and Information Processing over Networks and IEEE Transactions on Robotics and Automation.

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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