The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Guoquan Huang sits on this spectrum.
This scientist: 154 publications — 28th percentile
28% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Guoquan Huang sits on this spectrum.
This scientist: 40 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Guoquan Huang is affiliated with the University of Delaware in the United States. Their research activity spans primary fields of Engineering and Computer Science, with a significant number of publications contributing to these areas.
Their work extensively covers several subfields, particularly Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Geology, and Control and Systems Engineering. This multidisciplinary approach supports research that bridges theoretical and applied aspects of robotics and navigation.
Main topics addressed in their publications include Robotics and Sensor-Based Localization, Advanced Vision and Imaging, Indoor and Outdoor Localization Technologies, 3D Surveying and Cultural Heritage, Inertial Sensor and Navigation, Advanced Image and Video Retrieval Techniques, and Image and Object Detection Techniques. These topics highlight a focus on autonomous navigation systems and sensing technologies.
Guoquan Huang has been published frequently in prominent venues such as arXiv (Cornell University), IEEE Transactions on Robotics, the 2022 International Conference on Robotics and Automation (ICRA), IEEE Robotics and Automation Letters, and the Journal of Field Robotics. These outlets underline engagement with both foundational and applied robotics research communities.
Selected recent papers include:
Frequent collaborators of Guoquan Huang include Patrick Geneva, Xingxing Zuo, Yulin Yang, Yong Liu, and Woosik Lee. This network illustrates a consistent engagement with researchers specializing in related robotics and navigation fields, supporting collaborative advancements.
Patrick Geneva;Kevin Eckenhoff;Woosik Lee;Yulin Yang
Guoquan Huang
Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis
G.P. Huang;A.I. Mourikis;S.I. Roumeliotis
Patrick Geneva;Kevin Eckenhoff;Yulin Yang;Guoquan Huang
Zheng Huai;Guoquan Huang
Xingxing Zuo;Patrick Geneva;Woosik Lee;Yong Liu
Xingxing Zuo;Xiaojia Xie;Yong Liu;Guoquan Huang
Nathaniel Merrill;Guoquan Huang
Xingxing Zuo;Yulin Yang;Patrick Geneva;Jiajun Lv
Guoquan P. Huang;Anastasios I. Mourikis;Anastasios I. Mourikis;Stergios I. Roumeliotis
Guoquan P. Huang;Nikolas Trawny;Anastasios I. Mourikis;Stergios I. Roumeliotis
Liam Paull;Guoquan Huang;Mae Seto;John J. Leonard
Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis
Guoquan Huang;Michael Kaess;John J. Leonard
Zheng Huai;Guoquan Huang
Guoquan Huang;Michael Kaess;John J. Leonard
Unknown
Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis
Kevin Eckenhoff;Patrick Geneva;Guoquan Huang
Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis
Kevin Eckenhoff;Patrick Geneva;Guoquan Huang
Yulin Yang;Patrick Geneva;Kevin Eckenhoff;Guoquan Huang
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