Ning Jiang

Cognitive Neuroscience · IEEE transactions on neural systems and rehabilitation engineering · 2012–2022

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 42 citations into it
• Biomedical Engineering — 33 citations into it
• Cellular and Molecular Neuroscience — 27 citations into it

Whom Ning Jiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kevin B. Englehart
2. Dario Farina
3. Ning Jiang
4. Nicholas I. Fisher
5. Philipp Berens
6. Emilio Bizzi
7. Andrea d'Avella
8. Erik J. Scheme
9. Mohammadreza Asghari Oskoei
10. Ales Holobar

Who trusts Ning Jiang overall

1. Nawadita Parajuli
2. Dezhen Xiong
3. Manfredo Atzori

Papers from Ning Jiang's perspective

Ordered by how strongly the researchers Ning Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal (IEEE Transactions on Biomedical Engineering)
2. Sampling, noise-reduction and amplitude estimation issues in surface electromyography. (Journal of Electromyography & Kinesiology)
3. Myoelectric control systems - A survey (Biomedical Signal Processing and Control)
4. EMG feature evaluation for improving myoelectric pattern recognition robustness (Expert systems with applications)
5. Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use. (Journal of rehabilitation research and development)
6. Learning to integrate arbitrary signals from vision and touch.
7. Resolving the Limb Position Effect in Myoelectric Pattern Recognition (IEEE transactions on neural systems and rehabilitation engineering)
8. Direct neural sensory feedback and control of a prosthetic arm (IEEE transactions on neural systems and rehabilitation engineering)
9. Brain-machine interfaces: past, present and future. (Trends in Neurosciences)
10. Decoding the neural drive to muscles from the surface electromyogram. (Clinical Neurophysiology)

Their papers

• Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight] (2012) — 469 citations
• Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation (2017) — 311 citations
• The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014) — 900 citations
• Large-scale frontoparietal theta, alpha, and beta phase synchronization: A set of EEG differential characteristics for freezing of gait in Parkinson’s disease? (2022)