What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Gene
- Organic chemistry
Xin Li mainly investigates Photochemistry, Nanotechnology, Chemical engineering, Fluorescence and Optoelectronics.
In his study, which falls under the umbrella issue of Photochemistry, Photocurrent is strongly linked to Dye-sensitized solar cell.
His Nanotechnology research is multidisciplinary, relying on both Supercapacitor and Electrochemistry.
His work deals with themes such as Membrane, Power density and Electrode, which intersect with Chemical engineering.
His Fluorescence study frequently draws parallels with other fields, such as Luminescence.
Much of his study explores Optoelectronics relationship to Graphene.
His most cited work include:
- Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design (552 citations)
- Organic D-A-π-A Solar Cell Sensitizers with Improved Stability and Spectral Response (516 citations)
- Gut microbiome development along the colorectal adenoma-carcinoma sequence. (497 citations)
What are the main themes of his work throughout his whole career to date?
Xin Li focuses on Chemical engineering, Optoelectronics, Nanotechnology, Artificial intelligence and Optics.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition.
He most often published in these fields:
- Chemical engineering (8.34%)
- Optoelectronics (7.40%)
- Nanotechnology (6.50%)
What were the highlights of his more recent work (between 2019-2021)?
- Chemical engineering (8.34%)
- Optoelectronics (7.40%)
- Composite material (5.42%)
In recent papers he was focusing on the following fields of study:
Xin Li spends much of his time researching Chemical engineering, Optoelectronics, Composite material, Artificial intelligence and Internal medicine.
His study connects Catalysis and Chemical engineering.
His study in Graphene extends to Optoelectronics with its themes.
Many of his studies on Artificial intelligence apply to Machine learning as well.
Xin Li does research in Internal medicine, focusing on Cancer specifically.
Between 2019 and 2021, his most popular works were:
- COVID-19 with Different Severities: A Multicenter Study of Clinical Features. (353 citations)
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- The first high-resolution meteorological forcing dataset for land process studies over China (104 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Gene
- Artificial intelligence
Xin Li spends much of his time researching Chemical engineering, Optoelectronics, Nanotechnology, Composite material and Climatology.
The study incorporates disciplines such as Membrane, Nanofiltration and Oxygen evolution in addition to Chemical engineering.
His research on Membrane focuses in particular on Gas separation.
His studies deal with areas such as Absorption and Graphene as well as Optoelectronics.
Xin Li has researched Climatology in several fields, including Common spatial pattern and Global Precipitation Measurement, Precipitation.
His Common spatial pattern research incorporates elements of Elevation and Terrain.
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