What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Artificial intelligence
- Machine learning
Rotaxane, Nanotechnology, Molecule, Photochemistry and Catenane are his primary areas of study.
His studies deal with areas such as Methylene, Click chemistry and Hydrogen bond as well as Rotaxane.
Hao Li interconnects Intramolecular force and Molecular switch in the investigation of issues within Nanotechnology.
His study in Molecule is interdisciplinary in nature, drawing from both Chemical physics and Molecular machine.
His research integrates issues of Self-assembly, Redox, Nuclear magnetic resonance spectroscopy and Bistability in his study of Catenane.
In his study, which falls under the umbrella issue of Redox, Crystallography is strongly linked to Radical.
His most cited work include:
- An artificial molecular pump (230 citations)
- Novel Fibers Prepared from Cellulose in NaOH/Urea Aqueous Solution (144 citations)
- Hydrochromic molecular switches for water-jet rewritable paper (123 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Optics, Artificial intelligence, Crystallography, Stereochemistry and Ring.
The various areas that Hao Li examines in his Optics study include Optoelectronics and Nonlinear system.
His research investigates the connection between Artificial intelligence and topics such as Multi-objective optimization that intersect with issues in Hyperspectral imaging.
His studies in Crystallography integrate themes in fields like Cationic polymerization, Catenane and Cage.
His studies examine the connections between Catenane and genetics, as well as such issues in Covalent bond, with regards to Molecule.
The concepts of his Stereochemistry study are interwoven with issues in Cascade reaction and Rotaxane.
He most often published in these fields:
- Optics (12.98%)
- Artificial intelligence (12.50%)
- Crystallography (9.13%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (12.50%)
- Cage (4.33%)
- Crystallography (9.13%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Cage, Crystallography, Optics and Pattern recognition.
His Artificial intelligence research focuses on Machine learning and how it relates to Robust regression.
His Cage research incorporates elements of SN2 reaction, Homochirality and Click chemistry, Polymer chemistry.
His Crystallography research is multidisciplinary, incorporating perspectives in Hydrazone, Cylinder, Ring, Mass spectrometry and Cationic polymerization.
His Hydrazone research focuses on Condensation and how it connects with Oxime and Catenane.
His Pattern recognition study combines topics in areas such as Synthetic aperture radar and Fuzzy logic.
Between 2018 and 2021, his most popular works were:
- Evolutionary Multitasking With Dynamic Resource Allocating Strategy (38 citations)
- Self-Assembly of a Highly Emissive Pure Organic Imine-Based Stack for Electroluminescence and Cell Imaging. (34 citations)
- Circularly Polarized Thermally Activated Delayed Fluorescence Emitters in Through-Space Charge Transfer on Asymmetric Spiro Skeletons (24 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Artificial intelligence
- Catalysis
The scientist’s investigation covers issues in Catalysis, Chemical engineering, Inorganic chemistry, Fluorescence and Benchmark.
In general Catalysis study, his work on Ammonia production often relates to the realm of Overpotential, thereby connecting several areas of interest.
The study incorporates disciplines such as Cobalt, Syngas and Fischer–Tropsch process in addition to Chemical engineering.
In his study, Self-assembly and Imine is inextricably linked to Chromophore, which falls within the broad field of Fluorescence.
His work deals with themes such as Covalent bond, Aqueous solution and Catenane, which intersect with Self-assembly.
He works mostly in the field of Benchmark, limiting it down to concerns involving Distributed computing and, occasionally, Evolutionary algorithm and Task.
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