Guoping Zhao

483 total citations
24 papers, 331 citations indexed

About

Guoping Zhao is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Civil and Structural Engineering. According to data from OpenAlex, Guoping Zhao has authored 24 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 5 papers in Physical Therapy, Sports Therapy and Rehabilitation and 3 papers in Civil and Structural Engineering. Recurrent topics in Guoping Zhao's work include Prosthetics and Rehabilitation Robotics (17 papers), Muscle activation and electromyography studies (15 papers) and Robotic Locomotion and Control (8 papers). Guoping Zhao is often cited by papers focused on Prosthetics and Rehabilitation Robotics (17 papers), Muscle activation and electromyography studies (15 papers) and Robotic Locomotion and Control (8 papers). Guoping Zhao collaborates with scholars based in Germany, China and Iran. Guoping Zhao's co-authors include André Seyfarth, Martin Grimmer, Maziar A. Sharbafi, John Nassour, Edwin van Asseldonk, Mark Vlutters, Oskar von Stryk, Christian Rode, Koh Hosoda and Katrien Van Nimmen and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Guoping Zhao

22 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoping Zhao Germany 11 269 48 38 34 33 24 331
Marc Doumit Canada 11 344 1.3× 101 2.1× 44 1.2× 18 0.5× 39 1.2× 28 425
Youngjin Na South Korea 11 262 1.0× 51 1.1× 27 0.7× 18 0.5× 50 1.5× 38 315
Rezvan Nasiri Iran 10 273 1.0× 91 1.9× 53 1.4× 20 0.6× 22 0.7× 23 303
Claysson Bruno Santos Vimieiro Brazil 10 188 0.7× 108 2.3× 40 1.1× 23 0.7× 40 1.2× 33 308
João P. Ferreira Portugal 11 362 1.3× 59 1.2× 96 2.5× 41 1.2× 40 1.2× 58 455
Pierre Cherelle Belgium 14 675 2.5× 70 1.5× 89 2.3× 41 1.2× 63 1.9× 26 739
Amre Eizad South Korea 10 125 0.5× 82 1.7× 45 1.2× 53 1.6× 60 1.8× 34 294
Anne E. Martin United States 10 331 1.2× 17 0.4× 57 1.5× 73 2.1× 39 1.2× 33 381
Modar Hassan Japan 8 251 0.9× 111 2.3× 17 0.4× 53 1.6× 13 0.4× 30 301
Kamran Shamaei United States 10 510 1.9× 100 2.1× 41 1.1× 59 1.7× 33 1.0× 15 568

Countries citing papers authored by Guoping Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Zhao. A scholar is included among the top collaborators of Guoping Zhao 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 Guoping Zhao. Guoping Zhao 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.
Zhao, Guoping, et al.. (2024). Human-Exoskeleton Interaction Force Estimation Based on Quasi-Direct Drive Actuators. TUbilio (Technical University of Darmstadt). 1132–1139.
2.
Grimmer, Martin, et al.. (2023). Joint power, joint work and lower limb muscle activity for transitions between level walking and stair ambulation at three inclinations. PLoS ONE. 18(11). e0294161–e0294161. 4 indexed citations
3.
Grimmer, Martin, et al.. (2022). Exploring surface electromyography (EMG) as a feedback variable for the human-in-the-loop optimization of lower limb wearable robotics. Frontiers in Neurorobotics. 16. 948093–948093. 8 indexed citations
4.
5.
Seyfarth, André, Guoping Zhao, & Henrik Jörntell. (2022). Whole Body Coordination for Self-Assistance in Locomotion. Frontiers in Neurorobotics. 16. 883641–883641. 3 indexed citations
6.
Zhao, Guoping, et al.. (2022). Exploring the effects of serial and parallel elasticity on a hopping robot. Frontiers in Neurorobotics. 16. 919830–919830. 4 indexed citations
7.
Zhao, Guoping, Martin Grimmer, & André Seyfarth. (2021). The mechanisms and mechanical energy of human gait initiation from the lower-limb joint level perspective. Scientific Reports. 11(1). 22473–22473. 12 indexed citations
8.
Nassour, John, Guoping Zhao, & Martin Grimmer. (2021). Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads. Scientific Reports. 11(1). 12556–12556. 60 indexed citations
9.
Zhao, Guoping, et al.. (2020). Bio-inspired neuromuscular reflex based hopping controller for a segmented robotic leg. Bioinspiration & Biomimetics. 15(2). 26007–26007. 14 indexed citations
10.
Grimmer, Martin, et al.. (2020). Lower limb joint biomechanics-based identification of gait transitions in between level walking and stair ambulation. PLoS ONE. 15(9). e0239148–e0239148. 25 indexed citations
11.
Zhao, Guoping, Maziar A. Sharbafi, Mark Vlutters, Edwin van Asseldonk, & André Seyfarth. (2019). Bio-Inspired Balance Control Assistance Can Reduce Metabolic Energy Consumption in Human Walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(9). 1760–1769. 25 indexed citations
12.
Zhao, Guoping, et al.. (2019). A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model. Duo Research Archive (University of Oslo). 537–543. 15 indexed citations
13.
Schumacher, Christian, et al.. (2018). A Movement Manipulator to Introduce Temporary and Local Perturbations in Human Hopping. TUbilio (Technical University of Darmstadt). 940–947. 3 indexed citations
14.
Nimmen, Katrien Van, Guoping Zhao, André Seyfarth, & Peter Van den Broeck. (2018). A Robust Methodology for the Reconstruction of the Vertical Pedestrian-Induced Load from the Registered Body Motion. Vibration. 1(2). 250–268. 17 indexed citations
15.
Sharbafi, Maziar A., André Seyfarth, & Guoping Zhao. (2017). Locomotor Sub-functions for Control of Assistive Wearable Robots. Frontiers in Neurorobotics. 11. 44–44. 10 indexed citations
16.
Zhao, Guoping, Maziar A. Sharbafi, Mark Vlutters, Edwin van Asseldonk, & André Seyfarth. (2017). Template model inspired leg force feedback based control can assist human walking. PubMed. 2017. 473–478. 26 indexed citations
17.
Sharbafi, Maziar A., et al.. (2017). Electric-Pneumatic Actuator: A New Muscle for Locomotion. Actuators. 6(4). 30–30. 22 indexed citations
18.
Sharbafi, Maziar A., et al.. (2016). A new biarticular actuator design facilitates control of leg function in BioBiped3. Bioinspiration & Biomimetics. 11(4). 46003–46003. 63 indexed citations
19.
Huang, Yuping, Guoping Zhao, Gang Bao, & Zuwen Wang. (2012). Optimization design of the permanent magnent synchronous motor for electric actuator. 682–686. 4 indexed citations
20.
Jiang, Jing, et al.. (2008). A Melt Temperature PID Controller Based on RBF Neural Network. 9. 172–175. 1 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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