What is he best known for?
The fields of study he is best known for:
- Gene
- Quantum mechanics
- Internal medicine
Jun Liu mainly investigates Chemical engineering, Artificial intelligence, Photochemistry, Nanotechnology and Polymer.
His biological study spans a wide range of topics, including Inorganic chemistry, Organic chemistry, Anode and Doping.
His Artificial intelligence research includes themes of Machine learning and Pattern recognition.
His Photochemistry research incorporates themes from Organic semiconductor and Electroluminescence, Polyfluorene.
Jun Liu interconnects Electrode and Lithium in the investigation of issues within Nanotechnology.
Jun Liu combines subjects such as HOMO/LUMO and Electron acceptor with his study of Polymer.
His most cited work include:
- Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. (948 citations)
- NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis (774 citations)
- Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition (679 citations)
What are the main themes of his work throughout his whole career to date?
Jun Liu mostly deals with Chemical engineering, Artificial intelligence, Polymer, Optoelectronics and Internal medicine.
Chemical engineering is frequently linked to Nanotechnology in his study.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition.
His work deals with themes such as Photochemistry, Acceptor and HOMO/LUMO, which intersect with Polymer.
Much of his study explores Internal medicine relationship to Endocrinology.
His Conjugated system research includes elements of Side chain and Polymer chemistry.
He most often published in these fields:
- Chemical engineering (13.72%)
- Artificial intelligence (10.29%)
- Polymer (13.59%)
What were the highlights of his more recent work (between 2019-2021)?
- Polymer (13.59%)
- Artificial intelligence (10.29%)
- Chemical engineering (13.72%)
In recent papers he was focusing on the following fields of study:
His main research concerns Polymer, Artificial intelligence, Chemical engineering, Optoelectronics and Conjugated system.
His Polymer research incorporates elements of Acceptor, HOMO/LUMO and Energy conversion efficiency.
Jun Liu has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
His work carried out in the field of Pattern recognition brings together such families of science as Noise and Feature.
Many of his studies on Chemical engineering apply to Work as well.
His Conjugated system research is multidisciplinary, relying on both Thermoelectric effect and Doping.
Between 2019 and 2021, his most popular works were:
- Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. (948 citations)
- Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study. (489 citations)
- NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding (159 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Quantum mechanics
- Internal medicine
Jun Liu mostly deals with Chemical engineering, Artificial intelligence, Polymer, Radiology and Pattern recognition.
His research integrates issues of Photocatalysis, Catalysis, Doping and Surface engineering in his study of Chemical engineering.
His studies in Artificial intelligence integrate themes in fields like Machine learning and Computer vision.
As a member of one scientific family, Jun Liu mostly works in the field of Machine learning, focusing on RGB color model and, on occasion, Feature extraction.
The study incorporates disciplines such as Optoelectronics and Acceptor in addition to Polymer.
His studies deal with areas such as Noise and Feature as well as Pattern recognition.
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