H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 6,404 155 World Ranking 4769 National Ranking 198

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Telecommunications

Ning Jiang mainly focuses on Electromyography, Artificial intelligence, Proportional myoelectric control, Physical medicine and rehabilitation and Electroencephalography. His research investigates the connection with Electromyography and areas like Upper limb prosthesis which intersect with concerns in Classifier. The various areas that Ning Jiang examines in his Artificial intelligence study include Focus, Computer vision and Pattern recognition.

His studies in Pattern recognition integrate themes in fields like Speech recognition and Linear model. His Proportional myoelectric control research integrates issues from Physical therapy, Wrist and Linear regression. His research integrates issues of Neuroplasticity and Matched filter in his study of Electroencephalography.

His most cited work include:

  • The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (450 citations)
  • Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal (306 citations)
  • Myoelectric Control of Artificial Limbs—Is There a Need to Change Focus? [In the Spotlight] (241 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Brain–computer interface, Artificial intelligence, Chaotic, Semiconductor laser theory and Electroencephalography. His work carried out in the field of Brain–computer interface brings together such families of science as Speech recognition and Physical medicine and rehabilitation. His studies deal with areas such as Signal, Computer vision and Pattern recognition as well as Artificial intelligence.

The study incorporates disciplines such as Proportional control, Artificial neural network and Word error rate in addition to Pattern recognition. He has included themes like Phase modulation, Synchronization, Electronic engineering, Optical communication and Encryption in his Chaotic study. His biological study spans a wide range of topics, including Bandwidth and Topology.

He most often published in these fields:

  • Brain–computer interface (23.15%)
  • Artificial intelligence (20.13%)
  • Chaotic (18.46%)

What were the highlights of his more recent work (between 2017-2021)?

  • Brain–computer interface (23.15%)
  • Electroencephalography (16.11%)
  • Artificial intelligence (20.13%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Brain–computer interface, Electroencephalography, Artificial intelligence, Pattern recognition and Semiconductor laser theory. His Brain–computer interface study contributes to a more complete understanding of Neuroscience. His Electroencephalography study combines topics in areas such as Neurorehabilitation, Audiology, Stimulus, Speech recognition and Visualization.

His Artificial intelligence study integrates concerns from other disciplines, such as Signal and Computer vision. His study in Pattern recognition is interdisciplinary in nature, drawing from both Proportional myoelectric control and Word error rate. His Semiconductor laser theory study incorporates themes from Phase modulation, Random number generation and Wideband.

Between 2017 and 2021, his most popular works were:

  • Online mapping of EMG signals into kinematics by autoencoding (35 citations)
  • Chaos synchronization and communication in closed-loop semiconductor lasers subject to common chaotic phase-modulated feedback. (27 citations)
  • Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization. (26 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Neuroscience
  • Telecommunications

Ning Jiang mostly deals with Electroencephalography, Brain–computer interface, Artificial intelligence, Pattern recognition and Audiology. His research in Electroencephalography intersects with topics in Rehabilitation, Lateralization of brain function and Physical medicine and rehabilitation. His work on Motor imagery and Sensorimotor rhythm as part of general Brain–computer interface research is frequently linked to Improved performance, thereby connecting diverse disciplines of science.

His studies in Artificial intelligence integrate themes in fields like Signal and Ulnar deviation. His Pattern recognition research focuses on subjects like Proportional myoelectric control, which are linked to Artificial limbs. His Audiology research incorporates themes from Somatosensory system, Neurorehabilitation and Affect.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

Dario Farina;Ning Jiang;Hubertus Rehbaum;Ales Holobar.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014)

493 Citations

Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal

Ning Jiang;K.B. Englehart;P.A. Parker.
IEEE Transactions on Biomedical Engineering (2009)

394 Citations

Myoelectric Control of Artificial Limbs—Is There a Need to Change Focus? [In the Spotlight]

Ning Jiang;S. Dosen;K-R Muller;D. Farina.
IEEE Signal Processing Magazine (2012)

370 Citations

Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control

J. M. Hahne;F. Biebmann;N. Jiang;H. Rehbaum.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014)

249 Citations

Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control

Ning Jiang;Ivan Vujaklija;Hubertus Rehbaum;Bernhard Graimann.
international conference of the ieee engineering in medicine and biology society (2014)

210 Citations

Detection of movement intention from single-trial movement-related cortical potentials

Imran Khan Niazi;Ning Jiang;Olivier Tiberghien;Jørgen Feldbæk Nielsen.
Journal of Neural Engineering (2011)

210 Citations

Myoelectric Control of Artificial Limbs— Is There a Need to Change Focus?

Ning Jiang;Strahinja Dosen;Klaus-Robert Müller;Dario Farina.
(2012)

197 Citations

Simultaneous and Proportional Force Estimation for Multifunction Myoelectric Prostheses Using Mirrored Bilateral Training

Johnny L G Nielsen;S Holmgaard;Ning Jiang;K B Englehart.
IEEE Transactions on Biomedical Engineering (2011)

194 Citations

Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees

Ning Jiang;Hubertus Rehbaum;Ivan Vujaklija;Bernhard Graimann.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014)

193 Citations

Enhanced Low-Latency Detection of Motor Intention From EEG for Closed-Loop Brain-Computer Interface Applications

Ren Xu;Ning Jiang;Chuang Lin;Natalie Mrachacz-Kersting.
IEEE Transactions on Biomedical Engineering (2014)

190 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Ning Jiang

Dario Farina

Dario Farina

Imperial College London

Publications: 134

Xiangyang Zhu

Xiangyang Zhu

Shanghai Jiao Tong University

Publications: 54

Levi J. Hargrove

Levi J. Hargrove

Northwestern University

Publications: 42

Honghai Liu

Honghai Liu

Harbin Institute of Technology

Publications: 41

Wei Pan

Wei Pan

Southwest Jiaotong University

Publications: 32

Christian Cipriani

Christian Cipriani

Sant'Anna School of Advanced Studies

Publications: 27

Silvestro Micera

Silvestro Micera

Sant'Anna School of Advanced Studies

Publications: 25

Henning Müller

Henning Müller

University of Applied Sciences and Arts Western Switzerland

Publications: 21

Lianshan Yan

Lianshan Yan

Southwest Jiaotong University

Publications: 20

José del R. Millán

José del R. Millán

The University of Texas at Austin

Publications: 19

Antonio Bicchi

Antonio Bicchi

Italian Institute of Technology

Publications: 19

Jose L Pons

Jose L Pons

Rehabilitation Institute of Chicago

Publications: 19

Barbara Caputo

Barbara Caputo

Polytechnic University of Turin

Publications: 18

Niels Birbaumer

Niels Birbaumer

University of Tübingen

Publications: 17

Kevin Englehart

Kevin Englehart

University of New Brunswick

Publications: 17

Nitish V. Thakor

Nitish V. Thakor

National University of Singapore

Publications: 17

Something went wrong. Please try again later.