Brian Hou

500 total citations
13 papers, 288 citations indexed

About

Brian Hou is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Brian Hou has authored 13 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Brian Hou's work include Robotic Path Planning Algorithms (6 papers), Teaching and Learning Programming (3 papers) and Robot Manipulation and Learning (3 papers). Brian Hou is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Teaching and Learning Programming (3 papers) and Robot Manipulation and Learning (3 papers). Brian Hou collaborates with scholars based in United States. Brian Hou's co-authors include Florian T. Pokorny, Ken Goldberg, Jeffrey Mahler, James Kuffner, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger and Siddhartha S Srinivasa and has published in prestigious journals such as Clinical Spine Surgery A Spine Publication, 2022 International Conference on Robotics and Automation (ICRA) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Brian Hou

12 papers receiving 276 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian Hou United States	6	226	125	82	62	41	13	288
Hongjie Fang China	7	193 0.9×	83 0.7×	107 1.3×	57 0.9×	31 0.8×	12	289
Douglas Morrison Australia	4	266 1.2×	153 1.2×	129 1.6×	85 1.4×	78 1.9×	5	396
Yuzhe Qin United States	10	252 1.1×	109 0.9×	147 1.8×	82 1.3×	47 1.1×	21	390
Ziyuan Jiao China	11	125 0.6×	62 0.5×	143 1.7×	40 0.6×	85 2.1×	22	278
Sulabh Kumra United States	5	342 1.5×	186 1.5×	113 1.4×	76 1.2×	42 1.0×	10	396
Fu-Jen Chu United States	8	397 1.8×	212 1.7×	169 2.1×	103 1.7×	52 1.3×	10	509
Zhixing Xue Germany	11	309 1.4×	149 1.2×	173 2.1×	54 0.9×	91 2.2×	24	409
Sheng Yu China	9	178 0.8×	81 0.6×	92 1.1×	52 0.8×	22 0.5×	30	284
Roland Szabó Romania	11	142 0.6×	47 0.4×	95 1.2×	31 0.5×	54 1.3×	69	328
Dov Katz United States	7	220 1.0×	78 0.6×	173 2.1×	68 1.1×	97 2.4×	10	329

Countries citing papers authored by Brian Hou

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Hou. A scholar is included among the top collaborators of Brian Hou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Hou. Brian Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Hou, Brian, Hani Chanbour, Iyan Younus, et al.. (2025). Does Interbody Height and Material Influence Radiographic Pseudarthrosis in ACDF? Insights From a Single-Institution Study. Clinical Spine Surgery A Spine Publication. 38(10). E515–E520.

2.

Hou, Brian, et al.. (2024). Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. 4598–4604. 1 indexed citations

3.

Hou, Brian, et al.. (2023). GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. 10212–10218. 10 indexed citations

4.

Hou, Brian & Siddhartha S Srinivasa. (2022). Dynamic Replanning with Posterior Sampling. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11. 2938–2945. 2 indexed citations

5.

Lambert, Alexander, et al.. (2022). Stein Variational Probabilistic Roadmaps. 2022 International Conference on Robotics and Automation (ICRA). 11094–11101. 5 indexed citations

6.

Hou, Brian, et al.. (2021). Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5611–5618. 2 indexed citations

7.

Hou, Brian, et al.. (2020). Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. 4266–4272. 7 indexed citations

8.

Salzman, Oren, Brian Hou, & Siddhartha S Srinivasa. (2017). Efficient Motion Planning for Problems Lacking Optimal Substructure. Proceedings of the International Conference on Automated Planning and Scheduling. 27. 531–539. 5 indexed citations

9.

Hou, Brian, et al.. (2016). Fuzz Testing Projects in Massive Courses. 361–367. 11 indexed citations

10.

Zhang, Marvin, et al.. (2016). Nifty Assignments. 588–589. 2 indexed citations

11.

Mahler, Jeffrey, et al.. (2016). Privacy-preserving Grasp Planning in the Cloud. 468–475. 7 indexed citations

12.

Mahler, Jeffrey, Florian T. Pokorny, Brian Hou, et al.. (2016). Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. 1957–1964. 222 indexed citations

13.

Hou, Brian, et al.. (2015). Problems Before Solutions. 205–213. 14 indexed citations

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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