Rui Huang

3.3k total citations · 1 hit paper
100 papers, 1.6k citations indexed

About

Rui Huang is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rui Huang has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 23 papers in Control and Systems Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rui Huang's work include Prosthetics and Rehabilitation Robotics (35 papers), Muscle activation and electromyography studies (27 papers) and Stroke Rehabilitation and Recovery (17 papers). Rui Huang is often cited by papers focused on Prosthetics and Rehabilitation Robotics (35 papers), Muscle activation and electromyography studies (27 papers) and Stroke Rehabilitation and Recovery (17 papers). Rui Huang collaborates with scholars based in China, United States and India. Rui Huang's co-authors include Hong Cheng, Lorenz T. Biegler, Qiming Chen, Jing Qiu, Xichuan Lin, Sachin C. Patwardhan, Jianwei Zhang, Ao Luo, Zhinan Peng and Xiaohong Sun and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Rui Huang

93 papers receiving 1.6k citations

Hit Papers

Uncertainty-Guided Transformer Reasoning for Camouflaged ... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection
    2021 195 citations Qiang Zhai, Rui Huang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Huang China 22 579 394 346 293 137 100 1.6k
Fei Chen China 21 576 1.0× 755 1.9× 284 0.8× 95 0.3× 122 0.9× 151 1.8k
Riccardo Muradore Italy 21 760 1.3× 820 2.1× 237 0.7× 61 0.2× 112 0.8× 141 1.8k
Boubaker Daâchi France 16 331 0.6× 464 1.2× 150 0.4× 99 0.3× 81 0.6× 63 948
Yan Wu Singapore 23 264 0.5× 378 1.0× 173 0.5× 42 0.1× 175 1.3× 119 1.5k
Xinbo Yu China 19 383 0.7× 1.0k 2.5× 126 0.4× 62 0.2× 162 1.2× 45 1.4k
Ju-Jang Lee South Korea 15 206 0.4× 450 1.1× 207 0.6× 44 0.2× 283 2.1× 106 1.2k
Tatsuo Narikiyo Japan 19 506 0.9× 1.5k 3.9× 83 0.2× 243 0.8× 225 1.6× 167 2.2k
M.G. Rodd United Kingdom 10 387 0.7× 841 2.1× 277 0.8× 32 0.1× 150 1.1× 65 1.5k
Joris Gillis Belgium 9 459 0.8× 1.6k 3.9× 488 1.4× 28 0.1× 156 1.1× 39 2.7k
Ibraheem Kasim Ibraheem Iraq 21 180 0.3× 642 1.6× 424 1.2× 20 0.1× 228 1.7× 87 1.3k

Countries citing papers authored by Rui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Rui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Huang. A scholar is included among the top collaborators of Rui Huang 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 Rui Huang. Rui Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Rui, Zhe Li, Zhinan Peng, et al.. (2025). EEG-Based Motor Imagery Classification With Tuned Heuristic Fusion Graph Convolutional Network for Rehabilitation Training. IEEE Transactions on Automation Science and Engineering. 22. 14928–14939.
2.
Tian, Xinliang, et al.. (2024). Experimental-based hydrodynamic simulation of submarine glider for wave gliders. Applied Ocean Research. 153. 104224–104224. 2 indexed citations
3.
Peng, Zhinan, et al.. (2024). Optimization-Based Adaptive Assistance for Lower Limb Exoskeleton Robots With a Robotic Walker via Spatially Quantized Gait. IEEE Transactions on Automation Science and Engineering. 22. 2806–2818. 1 indexed citations
4.
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6.
Huang, Rui, et al.. (2024). SS-Pose: Self-Supervised 6-D Object Pose Representation Learning Without Rendering. IEEE Transactions on Industrial Informatics. 20(12). 13665–13675.
7.
Qu, Hongchun, et al.. (2024). A deep multi-task learning approach to identifying mummy berry infection sites, the disease stage, and severity. Frontiers in Plant Science. 15. 4 indexed citations
8.
Peng, Zhinan, et al.. (2023). Optimal tracking control for motion constrained robot systems via event-sampled critic learning. Expert Systems with Applications. 234. 121085–121085. 3 indexed citations
9.
Sun, Yaohui, Jiangping Hu, & Rui Huang. (2023). Negative-Stiffness Structure Vibration-Isolation Design and Impedance Control for a Lower Limb Exoskeleton Robot. Actuators. 12(4). 147–147. 8 indexed citations
10.
Huang, Rui, et al.. (2022). Weak6D: Weakly Supervised 6D Pose Estimation With Iterative Annotation Resolver. IEEE Robotics and Automation Letters. 8(3). 1463–1470. 3 indexed citations
11.
Huang, Rui, et al.. (2022). Multimodal Human-Exoskeleton Interface for Lower Limb Movement Prediction Through a Dense Co-Attention Symmetric Mechanism. Frontiers in Neuroscience. 16. 796290–796290. 9 indexed citations
12.
Huang, Rui, et al.. (2021). Estimating the Center of Mass of Human-Exoskeleton Systems with Physically Coupled Serial Chain. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9532–9539. 1 indexed citations
13.
Zhai, Qiang, et al.. (2020). Learning Quintuplet Loss for Large-Scale Visual Geolocalization. IEEE Multimedia. 27(3). 34–43. 5 indexed citations
14.
Huang, Rui, et al.. (2020). Adaptive compensation for time-varying uncertainties in model-based control of lower-limb exoskeleton systems. Science China Information Sciences. 64(11). 1 indexed citations
15.
Peng, Zhinan, Rui Luo, Rui Huang, et al.. (2020). Data-Driven Reinforcement Learning for Walking Assistance Control of a Lower Limb Exoskeleton with Hemiplegic Patients. 9065–9071. 27 indexed citations
16.
Ma, Wenhao, et al.. (2020). Dynamic Movement Primitives based Parametric Gait Model for Lower Limb Exoskeleton. 3857–3862. 7 indexed citations
17.
18.
Lin, Xichuan, et al.. (2017). Adaptive stair-ascending and stair-descending strategies for powered lower limb exoskeleton. 1579–1584. 17 indexed citations
19.
Huang, Rui, Sachin C. Patwardhan, & Lorenz T. Biegler. (2011). Robust stability of nonlinear model predictive control based on extended Kalman filter. Journal of Process Control. 22(1). 82–89. 39 indexed citations
20.
Huang, Rui, Sachin C. Patwardhan, & Lorenz T. Biegler. (2010). Offset-free Nonlinear Model Predictive Control Based on Moving Horizon Estimation for an Air Separation Unit. IFAC Proceedings Volumes. 43(5). 631–636. 5 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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