Leaderboards/Muscle activation and electromyography studies

Muscle activation and electromyography studies

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Zequn Shen
Hangzhou Wanxiang Polytechnic
2
Seyed Masoud Ghoreishi Mokri
Privolzhsky Research Medical University
3
Dean D. Molinaro
Robotics Research (United States)
4
Andreas Rowald
Friedrich-Alexander-Universität Erlangen-Nürnberg
5
Chengcheng Han
Chinese Academy of Sciences
6
Tuomas Haarnoja
Google DeepMind (United Kingdom)
7
Rongtai Wan
Jiangxi Science and Technology Normal University
8
Edoardo Lecce
Foro Italico University of Rome
9
Yuankai Zhou
Nanchang University
10
Yuepeng Qian
National University of Singapore

Papers

1
Using Convolutional Neural Network to Design and Predict the Forces and Kinematic Performance and External Rotation Moment of the Hip Joint in the Pelvis
International Journal of Innovative Science and Research Technology (IJISRT)|2024
511 cit.
2
Predicting the Performance and Adaptation of Artificial Elbow Due to Effective Forces using Deep Learning
International Journal of Innovative Science and Research Technology (IJISRT)|2024
275 cit.
3
Using RNN Artificial Neural Network to Predict the Occurrence of Gastric Cancer in the Future of the World
International Journal of Innovative Science and Research Technology (IJISRT)|2024
235 cit.
4
Diagnosis and Evaluation of Stomach Surgery with CNN Neural Network
International Journal of Innovative Science and Research Technology (IJISRT)|2024
234 cit.
5
Publication in Science Robotics (2024) [148 citations, W4394674699]
Science Robotics|2024
148 cit.
6
Estimating human joint moments unifies exoskeleton control, reducing user effort
Science Robotics|2024
104 cit.
7
A reusable, healable, and biocompatible PEDOT:PSS hydrogel-based electrical bioadhesive interface for high-resolution electromyography monitoring and time–frequency analysis
Chemical Engineering Journal|2024
94 cit.
8
Task-agnostic exoskeleton control via biological joint moment estimation
Nature|2024
81 cit.
9
3D printing of highly conductive and strongly adhesive PEDOT:PSS hydrogel-based bioelectronic interface for accurate electromyography monitoring
Journal of Colloid and Interface Science|2024
46 cit.
10
Publication in Experimental Physiology (2024) [39 citations, W4399773357]
Experimental Physiology|2024
39 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Aaron J. Young
Georgia Institute of Technology
2
Aurelia Chi Wang
Georgia Institute of Technology
3
Erik Scheme
University of New Brunswick
4
Rana Salem
Royal Victoria Infirmary
5
Charles King
University of Wisconsin–La Crosse
6
Arash Ajoudani
Italian Institute of Technology
7
Staniša Raspopović
ETH Zurich
8
Tommaso Lenzi
Scuola Superiore Sant'Anna
9
Giacomo Valle
University of Chicago
10
Matthew A. Schiefer
Malcom Randall VA Medical Center

Papers

1
A lightweight robotic leg prosthesis replicating the biomechanics of the knee, ankle, and toe joint
Science Robotics|2022
138 cit.
2
Estimating human joint moments unifies exoskeleton control, reducing user effort
Science Robotics|2024
104 cit.
3
Subject-Independent, Biological Hip Moment Estimation During Multimodal Overground Ambulation Using Deep Learning
IEEE Transactions on Medical Robotics and Bionics|2022
88 cit.
4
Task-agnostic exoskeleton control via biological joint moment estimation
Nature|2024
81 cit.
5
An Online Framework for Cognitive Load Assessment in Industrial Tasks
Robotics and Computer-Integrated Manufacturing|2022
76 cit.
6
Powered Knee and Ankle Prosthesis With Adaptive Control Enables Climbing Stairs With Different Stair Heights, Cadences, and Gait Patterns
IEEE Transactions on Robotics|2022
67 cit.
7
Pick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human–Robot Collaborative Assembly
IEEE Transactions on Cognitive and Developmental Systems|2022
65 cit.
8
An ergonomic role allocation framework for dynamic human–robot collaborative tasks
Journal of Manufacturing Systems|2023
65 cit.
9
A Powered Hip Exoskeleton With High Torque Density for Walking, Running, and Stair Ascent
IEEE/ASME Transactions on Mechatronics|2022
64 cit.
10
Biomimetic computer-to-brain communication enhancing naturalistic touch sensations via peripheral nerve stimulation
Nature Communications|2024
59 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Ronald J. Triolo
Louis Stokes Cleveland VA Medical Center
2
Scott L. Delp
Stanford University
3
Dario Farina
Imperial College London
4
Todd Kuiken
Erasmus MC
5
Roger M. Enoka
University of Colorado Boulder
6
Mark L. Latash
Pennsylvania State University
7
John C. Rothwell
National Hospital for Neurology and Neurosurgery
8
Simon C. Gandevia
UNSW Sydney
9
V. Reggie Edgerton
Unknown
10
Robert F. Kirsch
Louis Stokes Cleveland VA Medical Center

Papers

1
OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement
IEEE Transactions on Biomedical Engineering|2007
4.9k cit.
2
Theta Burst Stimulation of the Human Motor Cortex
Neuron|2005
4.2k cit.
3
An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures
IEEE Transactions on Biomedical Engineering|1990
2k cit.
4
OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
PLoS Computational Biology|2018
1.3k cit.
5
Effect of epidural stimulation of the lumbosacral spinal cord on voluntary movement, standing, and assisted stepping after motor complete paraplegia: a case study
The Lancet|2011
1.2k cit.
6
Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
JAMA|2009
1.1k cit.
7
Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait
IEEE Transactions on Biomedical Engineering|2016
1.1k cit.
8
A Model of the Upper Extremity for Simulating Musculoskeletal Surgery and Analyzing Neuromuscular Control
Annals of Biomedical Engineering|2005
1k cit.
9
Muscle Architecture of the Human Lower Limb
Clinical Orthopaedics and Related Research|1983
928 cit.
10
Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration
The Lancet|2017
916 cit.

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