What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Enzyme
Bin He mainly focuses on Electroencephalography, Neuroscience, Artificial intelligence, Brain mapping and Brain–computer interface.
Bin He does research in Electroencephalography, focusing on Brain activity and meditation specifically.
His research ties Rhythm and Neuroscience together.
The concepts of his Artificial intelligence study are interwoven with issues in Coherence, Electrodiagnosis, Computer vision and Pattern recognition.
He studied Brain mapping and Magnetic resonance imaging that intersect with Cerebral cortex and Tomography.
His work focuses on many connections between Brain–computer interface and other disciplines, such as Human–computer interaction, that overlap with his field of interest in Robotic arm.
His most cited work include:
- The γ134.5 protein of herpes simplex virus 1 complexes with protein phosphatase 1α to dephosphorylate the α subunit of the eukaryotic translation initiation factor 2 and preclude the shutoff of protein synthesis by double-stranded RNA-activated protein kinase (649 citations)
- Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface (339 citations)
- Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. (339 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electroencephalography, Neuroscience, Artificial intelligence, Biomedical engineering and Inverse problem.
Bin He is studying Brain–computer interface, which is a component of Electroencephalography.
His study in Electrophysiology, Brain activity and meditation, Neuromodulation and EEG-fMRI are all subfields of Neuroscience.
The study incorporates disciplines such as Computer vision and Pattern recognition in addition to Artificial intelligence.
As a part of the same scientific family, Bin He mostly works in the field of Biomedical engineering, focusing on Tomography and, on occasion, Iterative reconstruction.
Bin He regularly ties together related areas like Algorithm in his Inverse problem studies.
He most often published in these fields:
- Electroencephalography (33.12%)
- Neuroscience (16.10%)
- Artificial intelligence (16.36%)
What were the highlights of his more recent work (between 2016-2021)?
- Electroencephalography (33.12%)
- Neuroscience (16.10%)
- Aspergillus oryzae (2.62%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Electroencephalography, Neuroscience, Aspergillus oryzae, Brain–computer interface and Gene.
His Electroencephalography research includes themes of Resting state fMRI, Chronic pain, Inverse problem and Artificial intelligence.
He has included themes like Computer vision and Pattern recognition in his Artificial intelligence study.
His study in Electrophysiology, Neuromodulation, Source imaging, Stimulation and Default mode network is done as part of Neuroscience.
He interconnects Focused ultrasound, Ultrasound and Brain stimulation in the investigation of issues within Neuromodulation.
His Brain–computer interface study combines topics from a wide range of disciplines, such as Task, Physical medicine and rehabilitation and Motor control.
Between 2016 and 2021, his most popular works were:
- The standardized EEG electrode array of the IFCN (119 citations)
- Noninvasive neuroimaging enhances continuous neural tracking for robotic device control (64 citations)
- Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics. (63 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Artificial intelligence
- Enzyme
Bin He focuses on Electroencephalography, Neuroscience, Brain–computer interface, Cell biology and Aspergillus oryzae.
His studies deal with areas such as Algorithm, Resting state fMRI and Chronic pain as well as Electroencephalography.
His research in Brain–computer interface is mostly focused on Motor imagery.
His Motor imagery research incorporates elements of Sensorimotor rhythm and Audiology.
Bin He works mostly in the field of Audiology, limiting it down to concerns involving Caffeine and, occasionally, Artificial intelligence.
In his research, Magnetic resonance imaging is intimately related to Brain mapping, which falls under the overarching field of Epilepsy.
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.
