What is he best known for?
The fields of study he is best known for:
- Thermodynamics
- Porosity
- Mechanics
The scientist’s investigation covers issues in Porous medium, Fractal, Mechanics, Porosity and Fractal dimension.
His Porous medium research is multidisciplinary, incorporating elements of Mineralogy, Permeability and Tortuosity.
Jianchao Cai has researched Tortuosity in several fields, including Streamlines, streaklines, and pathlines, Thermodynamics and Fractal derivative.
The concepts of his Fractal study are interwoven with issues in Thermal conductivity, Composite material, Capillary action, Phase and Capillary pressure.
The various areas that Jianchao Cai examines in his Porosity study include Chemical physics and Geometry.
His studies in Fractal dimension integrate themes in fields like Wave propagation, Power law, Fracture, Aperture and Microstructure.
His most cited work include:
- Generalized Modeling of Spontaneous Imbibition Based on Hagen− Poiseuille Flow in Tortuous Capillaries with Variably Shaped Apertures (295 citations)
- A Discussion of the Effect of Tortuosity on the Capillary Imbibition in Porous Media (269 citations)
- A Discussion of the Effect of Tortuosity on the Capillary Imbibition in Porous Media (269 citations)
What are the main themes of his work throughout his whole career to date?
Jianchao Cai mostly deals with Fractal, Porous medium, Mechanics, Fractal dimension and Porosity.
He combines subjects such as Characterization, Thermal conductivity, Statistical physics and Permeability with his study of Fractal.
His work in Permeability addresses issues such as Mineralogy, which are connected to fields such as Hydrate.
His work on Capillary pressure as part of general Porous medium study is frequently connected to Imbibition, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Jianchao Cai works mostly in the field of Fractal dimension, limiting it down to topics relating to Saturation and, in certain cases, Relative permeability, as a part of the same area of interest.
His Porosity study combines topics in areas such as Chemical engineering, Specific surface area and Adsorption.
He most often published in these fields:
- Fractal (59.36%)
- Porous medium (51.34%)
- Mechanics (39.57%)
What were the highlights of his more recent work (between 2020-2021)?
- Fractal (59.36%)
- Porous medium (51.34%)
- Fractal dimension (37.97%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Fractal, Porous medium, Fractal dimension, Porosity and Fluid dynamics.
His study in Fractal is interdisciplinary in nature, drawing from both Characterization, Thermophysics and Microstructure.
His Porous medium research includes elements of Flow, Thermal conductivity and Tortuosity.
Jianchao Cai has included themes like Wetting, Tight gas and Multiphase flow in his Fractal dimension study.
His research integrates issues of Permeability, Nanopore, Mineralogy, Coal and Volume fraction in his study of Porosity.
His Mechanics study integrates concerns from other disciplines, such as Surface roughness, Surface finish, Capillary action and Capillary pressure.
Between 2020 and 2021, his most popular works were:
- Lucas-Washburn Equation-Based Modeling of Capillary-Driven Flow in Porous Systems. (5 citations)
- Lucas-Washburn Equation-Based Modeling of Capillary-Driven Flow in Porous Systems. (5 citations)
- Advances in in-situ modified mining by fluidization and in unconventional geomechanics (2 citations)
In his most recent research, the most cited papers focused on:
- Thermodynamics
- Organic chemistry
- Optics
His primary scientific interests are in Fractal, Porous medium, Characterization, Geochemistry and Sichuan basin.
In general Fractal, his work in Fractal dimension is often linked to Exponent linking many areas of study.
The study incorporates disciplines such as Fluid dynamics, Mechanics, Mathematical model, Capillary action and Tortuosity in addition to Porous medium.
His work on Microstructure expands to the thematically related Characterization.
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