Di Shi

767 total citations · 1 hit paper
22 papers, 491 citations indexed

About

Di Shi is a scholar working on Biomedical Engineering, Rehabilitation and Surgery. According to data from OpenAlex, Di Shi has authored 22 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 14 papers in Rehabilitation and 5 papers in Surgery. Recurrent topics in Di Shi's work include Prosthetics and Rehabilitation Robotics (19 papers), Stroke Rehabilitation and Recovery (14 papers) and Muscle activation and electromyography studies (14 papers). Di Shi is often cited by papers focused on Prosthetics and Rehabilitation Robotics (19 papers), Stroke Rehabilitation and Recovery (14 papers) and Muscle activation and electromyography studies (14 papers). Di Shi collaborates with scholars based in China. Di Shi's co-authors include Wuxiang Zhang, Xilun Ding, Wei Zhang, Wei Zhang, Yanggang Feng, Lei Sun, Yunhai Geng, Yapeng Wang, Yanqiu Zhang and Hang Xiao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Di Shi

18 papers receiving 479 citations

Hit Papers

A Review on Lower Limb Rehabilitation Exoskeleton Robots 2019 2026 2021 2023 2019 100 200 300
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. A Review on Lower Limb Rehabilitation Exoskeleton Robots
    2019 307 citations Di Shi, Wuxiang Zhang et al. Chinese Journal of Mechanical Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Shi China 8 414 284 56 35 27 22 491
Shuangyue Yu United States 11 524 1.3× 228 0.8× 66 1.2× 38 1.1× 28 1.0× 25 631
Wietse van Dijk Netherlands 11 455 1.1× 164 0.6× 53 0.9× 45 1.3× 36 1.3× 30 589
Minh Tran United States 10 457 1.1× 147 0.5× 35 0.6× 52 1.5× 25 0.9× 13 518
Lihua Huang China 3 742 1.8× 354 1.2× 68 1.2× 57 1.6× 37 1.4× 7 770
Jing Qiu China 12 330 0.8× 171 0.6× 73 1.3× 22 0.6× 27 1.0× 56 504
C. Meijneke Netherlands 6 428 1.0× 207 0.7× 43 0.8× 53 1.5× 72 2.7× 7 460
Younbaek Lee South Korea 13 547 1.3× 214 0.8× 70 1.3× 74 2.1× 36 1.3× 21 582
Yashodhan Nevatia Germany 5 287 0.7× 142 0.5× 39 0.7× 37 1.1× 50 1.9× 9 390
Manuel Cestari Spain 10 425 1.0× 159 0.6× 40 0.7× 18 0.5× 33 1.2× 19 469
Hala Rifaï France 12 407 1.0× 193 0.7× 96 1.7× 23 0.7× 75 2.8× 27 533

Countries citing papers authored by Di Shi

Since Specialization
Citations

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

Fields of papers citing papers by Di Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Di Shi. A scholar is included among the top collaborators of Di Shi 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 Di Shi. Di Shi 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.
Wang, Zhi, Yu Sun, Di Shi, et al.. (2025). Design of an Adjustable Constant Force Mechanism Based on Integrated Magnet-beam Structures and an Adjustable Lever Mechanism. Mechanism and Machine Theory. 209. 105997–105997.
2.
Zhou, Yufeng, et al.. (2025). Design and preliminary validation of a compatible lower limb exoskeleton with variable stiffness actuation. Robotica. 43(5). 1675–1690. 1 indexed citations
3.
Wang, Yapeng, Di Shi, Yanggang Feng, et al.. (2024). Neural Network Robust Control Based on Computed Torque for Lower Limb Exoskeleton. Chinese Journal of Mechanical Engineering. 37(1). 2 indexed citations
4.
Shi, Di, et al.. (2024). Design and Evaluation of a Soft Knee Exosuit for Reducing Knee Medial Compartment Load During Walking. IEEE Transactions on Biomedical Engineering. 72(5). 1740–1749.
5.
Wang, Zhi, Di Shi, Yixin Shao, et al.. (2024). Haptic device for physiologically adaptive handle operation. International Journal of Mechanical Sciences. 286. 109893–109893.
6.
Zhang, Hanlin, et al.. (2023). Design and Kinematic Analysis of a Cable-driven Exoskeleton for Cervical Rehabilitation. 36. 1495–1500. 1 indexed citations
7.
8.
Li, Xianzhong, et al.. (2023). Design and Control of an Active-passive Lower Limb Exoskeleton for Squat Support. 1927–1932. 1 indexed citations
9.
Shi, Di, et al.. (2023). Multimode Control Strategy for Robotic Rehabilitation on Special Orthogonal Group SO(3). IEEE Transactions on Industrial Electronics. 71(2). 1749–1757. 3 indexed citations
10.
Shi, Di, et al.. (2023). Design and Evaluation of Variable Stiffness Actuators with Predefined Stiffness Profiles. IEEE Transactions on Automation Science and Engineering. 21(4). 4999–5011. 9 indexed citations
11.
Shao, Yixin, et al.. (2022). Anti-Disturbance Sliding Mode Control of a Novel Variable Stiffness Actuator for the Rehabilitation of Neurologically Disabled Patients. Frontiers in Robotics and AI. 9. 864684–864684. 5 indexed citations
12.
Li, Xianzhong, et al.. (2022). A Passive Upper Limb Assistive Exoskeleton for Overhead Assembly Tasks. 319–324. 1 indexed citations
13.
Shi, Di, et al.. (2022). Review of human—robot coordination control for rehabilitation based on motor function evaluation. Frontiers of Mechanical Engineering. 17(2). 7 indexed citations
14.
Shi, Di, et al.. (2022). Joint-Angle Adaptive Coordination Control of a Serial-Parallel Lower Limb Rehabilitation Exoskeleton. IEEE Transactions on Medical Robotics and Bionics. 4(3). 775–784. 10 indexed citations
15.
Shi, Di, et al.. (2021). Human-centred adaptive control of lower limb rehabilitation robot based on human–robot interaction dynamic model. Mechanism and Machine Theory. 162. 104340–104340. 57 indexed citations
16.
Wang, Yapeng, Wei Zhang, Di Shi, & Yunhai Geng. (2021). Design and Control of an Adaptive Knee Joint Exoskeleton Mechanism with Buffering Function. Sensors. 21(24). 8390–8390. 9 indexed citations
17.
Shi, Di, Wuxiang Zhang, Wuxiang Zhang, et al.. (2020). Assist-as-needed attitude control in three-dimensional space for robotic rehabilitation. Mechanism and Machine Theory. 154. 104044–104044. 23 indexed citations
18.
Shi, Di, Wuxiang Zhang, Xilun Ding, & Lei Sun. (2020). Parametric generation of three-dimensional gait for robot-assisted rehabilitation. Biology Open. 9(3). 13 indexed citations
19.
Shi, Di, Wuxiang Zhang, Wei Zhang, & Xilun Ding. (2019). A Review on Lower Limb Rehabilitation Exoskeleton Robots. Chinese Journal of Mechanical Engineering. 32(1). 307 indexed citations breakdown →
20.
Zhang, Wei, Wuxiang Zhang, Di Shi, & Xilun Ding. (2018). Design of hip joint assistant asymmetric parallel mechanism and optimization of singularity-free workspace. Mechanism and Machine Theory. 122. 389–403. 31 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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