What is he best known for?
The fields of study he is best known for:
- Gene
- Enzyme
- Artificial intelligence
His primary areas of investigation include Nanofiber, Self-healing hydrogels, Supramolecular chemistry, Nanotechnology and Enzyme.
His Nanofiber research includes themes of Self-assembly, Organic chemistry, Drug delivery, Small molecule and Supramolecular hydrogels.
The concepts of his Self-healing hydrogels study are interwoven with issues in Drug, Rheology and Peptide.
Yuan Gao interconnects Combinatorial chemistry, Biocompatibility, Amino acid and Enzyme catalysis in the investigation of issues within Supramolecular chemistry.
His studies deal with areas such as Molecular conformation and Intermolecular force as well as Nanotechnology.
His Enzyme research includes elements of In vitro and High activity.
His most cited work include:
- CIRI: an efficient and unbiased algorithm for de novo circular RNA identification. (459 citations)
- Generation of induced pluripotent stem cell lines from adult rat cells. (305 citations)
- Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming (286 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Nanotechnology, Optoelectronics, Supramolecular chemistry, Artificial intelligence and Self-healing hydrogels.
His research in Nanotechnology intersects with topics in Chemical engineering and Catalysis.
His Supramolecular chemistry study frequently links to adjacent areas such as Self-assembly.
His biological study spans a wide range of topics, including Computer vision and Pattern recognition.
His Self-healing hydrogels research is multidisciplinary, incorporating elements of Nanofiber, Combinatorial chemistry and Peptide.
His study in Nanofiber is interdisciplinary in nature, drawing from both Organic chemistry, Enzyme, Small molecule and Supramolecular hydrogels.
He most often published in these fields:
- Nanotechnology (23.40%)
- Optoelectronics (12.77%)
- Supramolecular chemistry (15.81%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (11.85%)
- Supramolecular chemistry (15.81%)
- Pattern recognition (4.86%)
In recent papers he was focusing on the following fields of study:
Yuan Gao mainly investigates Artificial intelligence, Supramolecular chemistry, Pattern recognition, Biophysics and Supramolecular assembly.
As a part of the same scientific study, Yuan Gao usually deals with the Artificial intelligence, concentrating on Computer vision and frequently concerns with Pattern recognition.
In his research on the topic of Supramolecular chemistry, Drug delivery, Self-assembly, Protein kinase A and Drug discovery is strongly related with Cancer cell.
His Drug delivery research is classified as research in Nanotechnology.
Yuan Gao has researched Nanotechnology in several fields, including Supporting cell, Cell and Liquid metal.
His Pattern recognition research incorporates themes from Facial recognition system, Lasso, Positive sample and Fluorescence molecular tomography.
Between 2018 and 2021, his most popular works were:
- NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction (42 citations)
- Face Anti-Spoofing: Model Matters, so Does Data (36 citations)
- Feature-guided Gaussian mixture model for image matching (22 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Artificial intelligence
Yuan Gao mostly deals with Artificial intelligence, Chemical physics, Layer, Molecule and Convolutional neural network.
His Artificial intelligence study typically links adjacent topics like Pattern recognition.
His work deals with themes such as Lubrication, Thin film, Raman spectroscopy, Shear and Liquid crystal, which intersect with Chemical physics.
His studies in Layer integrate themes in fields like Light-emitting diode, Quantum dot, Optoelectronics, Microelectromechanical systems and Quantum efficiency.
His research integrates issues of Conjugated system, Chemical substance, Dipeptide, Metal ions in aqueous solution and Aqueous solution in his study of Molecule.
His Convolutional neural network research is multidisciplinary, relying on both Object, Projection and Computer vision.
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