What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Artificial intelligence
Wei Liu focuses on Biomedical engineering, Algorithm, Cartilage, Cell biology and Tissue engineering.
His specific area of interest is Biomedical engineering, where Wei Liu studies Scaffold.
His research in Algorithm intersects with topics in Matrix decomposition, Direction of arrival and Mathematical optimization.
His Cartilage research incorporates elements of Extracellular matrix, Regeneration, Glycosaminoglycan and In vivo.
The study incorporates disciplines such as Embryonic stem cell, Tendon, Anatomy and Cell culture in addition to Cell biology.
His work carried out in the field of Tissue engineering brings together such families of science as Surgery and Transplantation.
His most cited work include:
- Wideband Beamforming: Concepts and Techniques (194 citations)
- Tissue engineering of cartilage with the use of chitosan‐gelatin complex scaffolds (188 citations)
- Bridging tendon defects using autologous tenocyte engineered tendon in a hen model. (181 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Algorithm, Electronic engineering, Artificial intelligence, Direction of arrival and Tissue engineering.
His Algorithm research incorporates themes from Mathematical optimization, Control theory and Wideband.
His Electronic engineering research is mostly focused on the topic Beamforming.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
His biological study deals with issues like In vitro, which deal with fields such as Cell biology.
His Biomedical engineering research includes elements of Cartilage and In vivo.
He most often published in these fields:
- Algorithm (27.43%)
- Electronic engineering (11.11%)
- Artificial intelligence (9.05%)
What were the highlights of his more recent work (between 2019-2021)?
- Algorithm (27.43%)
- Direction of arrival (7.54%)
- Internal medicine (5.35%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Algorithm, Direction of arrival, Internal medicine, Optics and Cancer research.
His Algorithm research is multidisciplinary, relying on both Synthetic aperture radar, Signal and Degrees of freedom.
The various areas that Wei Liu examines in his Direction of arrival study include Acoustics, Phase, Sensor array and Compressed sensing.
His study looks at the relationship between Internal medicine and fields such as Endocrinology, as well as how they intersect with chemical problems.
The concepts of his Cancer research study are interwoven with issues in Apoptosis, In vitro, Downregulation and upregulation and Osteolysis.
Wei Liu interconnects Cramér–Rao bound, Noise and Wideband in the investigation of issues within Underdetermined system.
Between 2019 and 2021, his most popular works were:
- Augmented Quaternion ESPRIT-Type DOA Estimation With a Crossed-Dipole Array (15 citations)
- Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment (15 citations)
- LncRNA TERC alleviates the progression of osteoporosis by absorbing miRNA-217 to upregulate RUNX2. (8 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Artificial intelligence
His primary areas of study are Cancer research, Internal medicine, Biocompatibility, Endocrinology and Algorithm.
His Internal medicine research incorporates themes from Gastroenterology and Resection.
His Biocompatibility research integrates issues from Tissue engineering, Selective laser melting, Casting, Composite material and Osseointegration.
His Tissue engineering study necessitates a more in-depth grasp of Biomedical engineering.
His research integrates issues of Polycaprolactone, Cartilage and Regeneration in his study of Biomedical engineering.
His Algorithm research is multidisciplinary, incorporating elements of Manifold and Estimator.
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