Shuangyue Yu

988 total citations
25 papers, 631 citations indexed

About

Shuangyue Yu is a scholar working on Biomedical Engineering, Rehabilitation and Control and Systems Engineering. According to data from OpenAlex, Shuangyue Yu has authored 25 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 6 papers in Rehabilitation and 6 papers in Control and Systems Engineering. Recurrent topics in Shuangyue Yu's work include Prosthetics and Rehabilitation Robotics (13 papers), Muscle activation and electromyography studies (11 papers) and Stroke Rehabilitation and Recovery (6 papers). Shuangyue Yu is often cited by papers focused on Prosthetics and Rehabilitation Robotics (13 papers), Muscle activation and electromyography studies (11 papers) and Stroke Rehabilitation and Recovery (6 papers). Shuangyue Yu collaborates with scholars based in United States, China and Netherlands. Shuangyue Yu's co-authors include Hao Su, Tzu-Hao Huang, Xiaolong Yang, Jingang Yi, Sainan Zhang, Alessandra Carriero, Junxi Zhu, Xianlian Zhou, Yue Chen and Junlin Wang and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Science Advances.

In The Last Decade

Shuangyue Yu

22 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuangyue Yu United States	11	524	228	66	40	38	25	631
Joost Geeroms Belgium	21	942 1.8×	260 1.1×	84 1.3×	63 1.6×	60 1.6×	41	1.0k
Gerdienke B. Prange-Lasonder Netherlands	14	274 0.5×	414 1.8×	58 0.9×	33 0.8×	15 0.4×	32	621
Lihua Huang China	3	742 1.4×	354 1.6×	68 1.0×	13 0.3×	57 1.5×	7	770
Katherine L. Poggensee United States	7	798 1.5×	300 1.3×	46 0.7×	36 0.9×	150 3.9×	12	930
Paul Stegall United States	13	603 1.2×	383 1.7×	37 0.6×	25 0.6×	83 2.2×	25	702
Ryan Steger United States	9	1.2k 2.3×	568 2.5×	121 1.8×	26 0.7×	77 2.0×	10	1.3k
Adriana Savescu France	6	235 0.4×	96 0.4×	22 0.3×	55 1.4×	35 0.9×	13	368
Jing Qiu China	12	330 0.6×	171 0.8×	73 1.1×	34 0.8×	22 0.6×	56	504
Adam Zoss United States	8	1.4k 2.7×	597 2.6×	93 1.4×	62 1.6×	89 2.3×	9	1.5k
Mohammad Iman Mokhlespour Esfahani United States	10	446 0.9×	184 0.8×	13 0.2×	27 0.7×	44 1.2×	17	586

Countries citing papers authored by Shuangyue Yu

Since Specialization

Citations

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

Fields of papers citing papers by Shuangyue Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyue Yu

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

All Works

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20 of 20 papers shown

Zuo, Guoyu, et al.. (2025). Motion control strategy for robotic arm using cascaded feature-enhancement ElasticNet broad learning system. Control Engineering Practice. 158. 106278–106278. 1 indexed citations

Zuo, Guoyu, Shan Yu, Shuangyue Yu, Hong Liu, & Min Zhao. (2025). Sca-pose: category-level 6D pose estimation with adaptive shape prior based on CNN and graph convolution. Intelligent Service Robotics. 18(2). 351–361. 1 indexed citations

Zuo, Guoyu, et al.. (2025). Motion control strategy for robotic arm with deep cascade feature Bayesian broad learning system. Engineering Applications of Artificial Intelligence. 160. 111888–111888.

Zuo, Guoyu, et al.. (2024). Motion controller for multi-joint robotic arm with deep cascade gated Bayesian broad learning system. Applied Mathematical Modelling. 138. 115792–115792.

Zhang, Sainan, Junxi Zhu, Shuangyue Yu, et al.. (2024). Experiment-free exoskeleton assistance via learning in simulation. Nature. 630(8016). 353–359. 51 indexed citations

Li, Yanbin, Shuangyue Yu, Yaoye Hong, et al.. (2024). Reprogrammable and reconfigurable mechanical computing metastructures with stable and high-density memory. Science Advances. 10(26). eado6476–eado6476. 10 indexed citations

Zuo, Guoyu, et al.. (2024). HBGNet: Robotic Grasp Detection Using a Hybrid Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–9.

Yu, Shuangyue, et al.. (2024). Untethered Fluidic Engine for High‐Force Soft Wearable Robots. SHILAP Revista de lepidopterología. 6(11). 4 indexed citations

Zuo, Guoyu, et al.. (2024). Language-Guided Category Push–Grasp Synergy Learning in Clutter by Efficiently Perceiving Object Manipulation Space. IEEE Transactions on Industrial Informatics. 21(2). 1783–1792. 2 indexed citations

10.

Zhang, Sainan, Junxi Zhu, Tzu-Hao Huang, et al.. (2023). Actuator optimization and deep learning-based control of pediatric knee exoskeleton for community-based mobility assistance. Mechatronics. 97. 103109–103109. 6 indexed citations

11.

Yu, Shuangyue, Tzu-Hao Huang, Junxi Zhu, et al.. (2023). Artificial Neural Network-Based Activities Classification, Gait Phase Estimation, and Prediction. Annals of Biomedical Engineering. 51(7). 1471–1484. 18 indexed citations

12.

Zhu, Junxi, et al.. (2022). Design and Backdrivability Modeling of a Portable High Torque Robotic Knee Prosthesis With Intrinsic Compliance for Agile Activities. IEEE/ASME Transactions on Mechatronics. 27(4). 1837–1845. 19 indexed citations

13.

Huang, Tzu-Hao, Sainan Zhang, Shuangyue Yu, et al.. (2022). Modeling and Stiffness-Based Continuous Torque Control of Lightweight Quasi-Direct-Drive Knee Exoskeletons for Versatile Walking Assistance. IEEE Transactions on Robotics. 38(3). 1442–1459. 54 indexed citations

14.

Yu, Shuangyue, et al.. (2022). Bio-inspired design of a self-aligning, lightweight, and highly-compliant cable-driven knee exoskeleton. Frontiers in Human Neuroscience. 16. 1018160–1018160. 6 indexed citations

15.

Yu, Shuangyue, Tzu-Hao Huang, Xiaolong Yang, et al.. (2020). Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton With High Backdrivability and High Bandwidth. IEEE/ASME Transactions on Mechatronics. 25(4). 1794–1802. 114 indexed citations

16.

Yu, Shuangyue, et al.. (2019). Design and Control of a High-Torque and Highly Backdrivable Hybrid Soft Exoskeleton for Knee Injury Prevention During Squatting. IEEE Robotics and Automation Letters. 4(4). 4579–4586. 68 indexed citations

17.

Yang, Xiaolong, Tzu-Hao Huang, Shuangyue Yu, et al.. (2019). Spine-Inspired Continuum Soft Exoskeleton for Stoop Lifting Assistance. IEEE Robotics and Automation Letters. 4(4). 4547–4554. 77 indexed citations

18.

Yu, Shuangyue, Mohamed Mohamed, Tzu-Hao Huang, et al.. (2019). A Soft High Force Hand Exoskeleton for Rehabilitation and Assistance of Spinal Cord Injury and Stroke Individuals. 3 indexed citations

19.

Guo, Jiaqi, Shuangyue Yu, Yanjun Li, et al.. (2018). A soft robotic exo-sheath using fabric EMG sensing for hand rehabilitation and assistance. 497–503. 22 indexed citations

20.

Yu, Shuangyue, Guang H. Yue, Richard Foulds, et al.. (2018). Real-Time Robust 3D Plane Extraction for Wearable Robot Perception and Control. 2 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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