What is he best known for?
The fields of study he is best known for:
- Operating system
- Gene
- Internal medicine
His primary areas of study are Electronic engineering, Nanotechnology, Lithography, Nanoimprint lithography and Network on a chip.
The study incorporates disciplines such as Passive optical network, Quadrature amplitude modulation and Orthogonal frequency-division multiplexing in addition to Electronic engineering.
His studies deal with areas such as Capacitance and Composite number as well as Nanotechnology.
His Lithography research is multidisciplinary, incorporating elements of Mold and Composite material.
Wei Zhang combines subjects such as Optoelectronics, Photolithography, Optics, Resist and Next-generation lithography with his study of Nanoimprint lithography.
His Network on a chip study also includes fields such as
- Optical switch which connect with MPSoC, Embedded system, Bandwidth, Electrical efficiency and Energy consumption,
- Scalability which intersects with area such as Noise power.
His most cited work include:
- Viral dynamics in mild and severe cases of COVID-19. (778 citations)
- Large area high density quantized magnetic disks fabricated using nanoimprint lithography (198 citations)
- Editable Supercapacitors with Customizable Stretchability Based on Mechanically Strengthened Ultralong MnO2 Nanowire Composite. (174 citations)
What are the main themes of his work throughout his whole career to date?
Wei Zhang spends much of his time researching Embedded system, Field-programmable gate array, Electronic engineering, Pathology and Artificial intelligence.
His Field-programmable gate array research is multidisciplinary, incorporating perspectives in Computer architecture and Control reconfiguration.
Many of his studies involve connections with topics such as Magnetic resonance imaging and Pathology.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Computer vision.
He most often published in these fields:
- Embedded system (10.41%)
- Field-programmable gate array (9.94%)
- Electronic engineering (8.68%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (5.36%)
- Internal medicine (5.36%)
- Field-programmable gate array (9.94%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Internal medicine, Field-programmable gate array, Algorithm and Pathology.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Computer vision.
Wei Zhang usually deals with Machine learning and limits it to topics linked to Inference and Scalability.
His Internal medicine research integrates issues from Gastroenterology and Endocrinology.
His research on Embedded system and Computer hardware is centered around Field-programmable gate array.
His Algorithm research includes themes of Clutter and Signal.
Between 2019 and 2021, his most popular works were:
- Viral dynamics in mild and severe cases of COVID-19. (778 citations)
- AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system. (32 citations)
- Antibody Profiles in Mild and Severe Cases of COVID-19. (31 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Gene
- Internal medicine
His primary scientific interests are in Algorithm, Carbon, Field-programmable gate array, Direct and indirect band gaps and Pneumonia.
His work deals with themes such as Image quality, Restoration method, Clutter and Signal, which intersect with Algorithm.
His studies in Carbon integrate themes in fields like Chemical engineering and Bulk modulus.
His Field-programmable gate array study incorporates themes from Loop unrolling, Design space exploration, Computer engineering and Software development.
His work carried out in the field of Pneumonia brings together such families of science as Interventional radiology and Virology.
His work in the fields of Virology, such as Viral shedding, Viral load and Viral dynamics, overlaps with other areas such as Coronavirus and Betacoronavirus.
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.
