Brian Hou
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Robotic Path Planning Algorithms 6
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- Robot Manipulation and Learning 3
- Co-authors
- Jeffrey Mahler (2 shared papers)Ken Goldberg (2 shared papers)Florian T. Pokorny (2 shared papers)Mathieu Aubry (1 shared paper)James Kuffner (1 shared paper)Michael Laskey (1 shared paper)Kai Kohlhoff (1 shared paper)Melrose Roderick (1 shared paper)
- Journals
- Clinical Spine Surgery A Spine Publication (1 paper)Proceedings of the International Conference on Automated Planning and Scheduling (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United States
In The Last Decade
Brian Hou
13 papers receiving 298 citations
Peers
Comparison fields: 5 of 39
- Control and Systems Engineering 243
- Human-Computer Interaction 38
- Computer Vision and Pattern Recognition 90
- Computer Science Applications 23
- Software 14
Countries citing papers authored by Brian Hou
This map shows the geographic impact of Brian Hou'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 Brian Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Hou more than expected).
Fields of papers citing papers by Brian Hou
This network shows the impact of papers produced by Brian Hou. 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 Brian Hou. The network helps show where Brian Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 241 | |
| 2 | 2015 | 14 | |
| 3 | 2016 | 12 | |
| 4 | 2023 | 10 | |
| 5 | 2016 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2017 | 7 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2016 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 |
About Brian Hou
Brian Hou is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Computer Science Applications, having authored 13 papers that have together received 312 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (3 papers), Robot Manipulation and Learning (3 papers), Teaching and Learning Programming (3 papers), Reinforcement Learning in Robotics (2 papers), Hand Gesture Recognition Systems (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Control and Systems Engineering (243 citations), Human-Computer Interaction (38 citations), Computer Vision and Pattern Recognition (90 citations), Computer Science Applications (23 citations) and Software (14 citations). Brian Hou has collaborated with scholars based in United States. Frequent co-authors include Jeffrey Mahler, Ken Goldberg, Florian T. Pokorny, Mathieu Aubry, James Kuffner, Michael Laskey, Kai Kohlhoff, Melrose Roderick, Torsten Kröger and Siddhartha S Srinivasa. Their work appears in journals such as Clinical Spine Surgery A Spine Publication, Proceedings of the International Conference on Automated Planning and Scheduling, 2022 International Conference on Robotics and Automation (ICRA), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.