What is he best known for?
The fields of study he is best known for:
- Gene
- Quantum mechanics
- Thermodynamics
His primary areas of study are Mechanics, Heat transfer, Thermodynamics, Heat transfer enhancement and Convective heat transfer.
His biological study focuses on Flow.
Wei Liu interconnects Chimney, Tube, Computer simulation, Fluid dynamics and Pressure drop in the investigation of issues within Heat transfer.
Wei Liu works mostly in the field of Thermodynamics, limiting it down to topics relating to Composite material and, in certain cases, Loop heat pipe.
His Heat transfer enhancement study incorporates themes from Nusselt number and Laminar flow.
His Heat transfer coefficient research is multidisciplinary, incorporating perspectives in Heat flux and Churchill–Bernstein equation.
His most cited work include:
- Hypoxia Induces Cyclooxygenase-2 via the NF-κB p65 Transcription Factor in Human Vascular Endothelial Cells (631 citations)
- Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease. (450 citations)
- Toxicity and penetration of TiO2 nanoparticles in hairless mice and porcine skin after subchronic dermal exposure. (318 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mechanics, Heat transfer, Thermodynamics, Heat transfer enhancement and Internal medicine.
He focuses mostly in the field of Mechanics, narrowing it down to topics relating to Evaporator and, in certain cases, Working fluid.
His research integrates issues of Heat exchanger, Pressure drop, Composite material and Laminar flow in his study of Heat transfer.
Heat transfer enhancement is a subfield of Reynolds number that he explores.
His studies in Internal medicine integrate themes in fields like Gastroenterology, Endocrinology and Oncology.
His research integrates issues of Micro-loop heat pipe and Heat sink in his study of Loop heat pipe.
He most often published in these fields:
- Mechanics (22.88%)
- Heat transfer (20.31%)
- Thermodynamics (11.44%)
What were the highlights of his more recent work (between 2019-2021)?
- Heat transfer (20.31%)
- Mechanics (22.88%)
- Internal medicine (7.33%)
In recent papers he was focusing on the following fields of study:
Wei Liu spends much of his time researching Heat transfer, Mechanics, Internal medicine, Composite material and Thermal resistance.
His Heat transfer study incorporates themes from Fluid dynamics, Flow, Porous medium and Working fluid.
The various areas that Wei Liu examines in his Flow study include Exergy and Computer simulation.
His Mechanics study frequently involves adjacent topics like Heat sink.
His Internal medicine research includes themes of Gastroenterology, Endocrinology, CD8 and Oncology.
His Nusselt number research is multidisciplinary, incorporating perspectives in Tube and Pressure drop.
Between 2019 and 2021, his most popular works were:
- Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease. (450 citations)
- Proteomic and Metabolomic Characterization of COVID-19 Patient Sera. (280 citations)
- Clinical characteristics of 19 neonates born to mothers with COVID-19. (117 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Quantum mechanics
- Internal medicine
Wei Liu mainly investigates Heat transfer, Internal medicine, Mechanics, Exergy efficiency and Working fluid.
His study of Loop heat pipe is a part of Heat transfer.
His work on Logistic regression and Mild symptoms as part of his general Internal medicine study is frequently connected to Severe acute respiratory syndrome coronavirus 2 and Health professionals, thereby bridging the divide between different branches of science.
The Mechanics study combines topics in areas such as Tube and Exergy.
His Exergy efficiency research is multidisciplinary, relying on both Refrigeration, Electrical efficiency, Coefficient of performance, Cogeneration and Convective heat transfer.
Wei Liu combines subjects such as Adsorption, Metal-organic framework, Evaporation, Artificial intelligence and Machine learning with his study of Working fluid.
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