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D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
6705
World Ranking
7649
National Ranking
1372

Overview

Jiping He is a researcher affiliated with the Beijing Institute of Technology in China, with a focus primarily on Neuroscience and Engineering. Their work encompasses key areas in cognitive and biomedical engineering fields, with significant contributions to neural dynamics and brain function studies.

Their body of research prominently covers the following main fields of study:

  • Neuroscience
  • Engineering

Within these broad areas, He specializes in several subfields including:

  • Cognitive Neuroscience
  • Biomedical Engineering
  • Cellular and Molecular Neuroscience
  • Pediatrics, Perinatology and Child Health
  • Electrical and Electronic Engineering

The scientist's research delves into important topics such as:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Muscle activation and electromyography studies
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Neonatal and fetal brain pathology

Jiping He's publication record includes multiple recent papers, illustrating an ongoing engagement with current advancements:

  • Neural Decoding for Intracortical Brain-Computer Interfaces, 2023, Cyborg and Bionic Systems
  • Gesture recognition based on sEMG using multi-attention mechanism for remote control, 2022, Neural Computing and Applications
  • Low-Intensity Focused Ultrasound-Mediated Attenuation of Acute Seizure Activity Based on EEG Brain Functional Connectivity, 2021, Brain Sciences
  • Different Modes of Low-Frequency Focused Ultrasound-Mediated Attenuation of Epilepsy Based on the Topological Theory, 2021, Micromachines
  • Subjective Well-being of Special Education Teachers in China: The Relation of Social Support and Self-Efficacy, 2022, Frontiers in Psychology

The venues where He frequently publishes demonstrate a diverse engagement with the neuroscience and engineering research communities:

  • Brain Sciences
  • Cyborg and Bionic Systems
  • Sensors
  • Journal of Neural Engineering
  • Biomedical Signal Processing and Control

He has collaborated repeatedly with a number of co-authors, indicating active partnerships in their research endeavors. Frequent collaborators include:

  • Rongyu Tang
  • Yiran Lang
  • Yafei Liu
  • Bo Li
  • Qiang Huang

Best Publications

  • Recent developments in biofeedback for neuromotor rehabilitation.

    He Huang;Steven L Wolf;Jiping He;Jiping He

  • Feedback gains for correcting small perturbations to standing posture

    J. He;W.S. Levine;G.E. Loeb

  • Design and Control of RUPERT: A Device for Robotic Upper Extremity Repetitive Therapy

    T.G. Sugar;Jiping He;E.J. Koeneman;J.B. Koeneman

  • Mapping of sensory responses to epidural stimulation of the intraspinal neural structures in man

    Giancarlo Barolat;Fulvio Massaro;Jiping He;Sergio Zeme

  • RUPERT: An exoskeleton robot for assisting rehabilitation of arm functions

    S. Balasubramanian;Ruihua Wei;M. Perez;B. Shepard

  • Epidural spinal-cord stimulation facilitates recovery of functional walking following incomplete spinal-cord injury

    M.R. Carhart;Jiping He;R. Herman;S. D'Luzansky

  • Polyimide-based intracortical neural implant with improved structural stiffness

    Kee Keun Lee;Jiping He;Amarjit Singh;Stephen Massia

  • Selection and parameterization of cortical neurons for neuroprosthetic control.

    Remy Wahnoun;Jiping He;Jiping He;Stephen I Helms Tillery

  • Design and Evaluation of the RUPERT Wearable Upper Extremity Exoskeleton Robot for Clinical and In-Home Therapies

    Jian Huang;Xikai Tu;Jiping He

  • Spinal cord circuits: are they mirrors of musculoskeletal mechanics?

    Gerald E. Loeb;Jiping He;William S. Levine

  • Paresthesia thresholds in spinal cord stimulation: a comparison of theoretical results with clinical data

    J.J. Struijk;J. Holsheimer;G. Barolat;J. He

  • Tracking control of pneumatic artificial muscle actuators based on sliding mode and non-linear disturbance observer

    K. Xing;J. Huang;Y. Wang;J. Wu

  • Understanding Sensorimotor Feedback through Optimal Control

    G.E. Loeb;W.S. Levine;J. He

  • Polyimide based neural implants with stiffness improvement

    Keekeun Lee;Amarjit Singh;Jiping He;Stephen Massia

  • Determining natural arm configuration along a reaching trajectory

    Tao Kang;Jiping He;Jiping He;Stephen I. Helms Tillery

  • Perception threshold and electrode position for spinal cord stimulation.

    Jiping He;Giancarlo Barolat;Jan Holsheimer;Johannes J. Struijk

  • A Novel Mat-Based System for Position-Varying Wireless Power Transfer to Biomedical Implants

    Qi Xu;Hao Wang;Zhaolong Gao;Zhi-Hong Mao

  • An Adaptive Mixed Reality Training System for Stroke Rehabilitation

    Margaret Duff;Yinpeng Chen;Suneth Attygalle;Janice Herman

  • Effects of peer feedback on contribution: a field experiment in Wikipedia

    Haiyi Zhu;Amy Zhang;Jiping He;Robert E. Kraut

  • Biocompatible benzocyclobutene (BCB)-based neural implants with micro-fluidic channel.

    Keekeun Lee;Jiping He;Ryan Clement;Stephen Massia

  • Control of hand orientation and arm movement during reach and grasp.

    Jing Fan;Jiping He;Jiping He;Stephen I. Helms Tillery

  • Perception threshold and electrode position for spinal cord stimulation

    Jiping He;Giancarlo Barolat;Jan Holsheimer;Johannes J. Struijk

Frequent Co-Authors

Jian Huang
Jian Huang University of Iowa
Hari Sundaram
Hari Sundaram University of Illinois at Urbana-Champaign
Douglas J. Weber
Douglas J. Weber Carnegie Mellon University
Gerald E. Loeb
Gerald E. Loeb University of Southern California
Thomas G. Sugar
Thomas G. Sugar Arizona State University
Yongji Wang
Yongji Wang Huazhong University of Science and Technology
Kewei Chen
Kewei Chen Arizona State University
Nitish V. Thakor
Nitish V. Thakor National University of Singapore
Gene E. Alexander
Gene E. Alexander University of Arizona
Eric M. Reiman
Eric M. Reiman Arizona State University

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