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Tie-Jun Zhang

3 papers hereh-index 141.3k citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • physics.flu-dyn1
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

most citedMorphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions

19 citations · 19 across the 3 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2022

The Understanding of Intertwined Physics: Discovering Capillary Pressure and Permeability Co-Determination

Omar Alfarisi, Djamel Ouzzane, Mohamed Sassi +1

Although capillary and permeability are the two most important physical properties controlling fluid distribution and flow in nature, the interconnectivity function between them wa…

cs.CV2021★ 19 cited

Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions

Omar Alfarisi, Aikifa Raza, Djamel Ouzzane +3

Permeability has a dominant influence on the flow properties of a natural fluid. Lattice Boltzmann simulator determines permeability from the nano and micropore network. The simula…

physics.geo-ph2021

Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination

Omar Alfarisi, Aikifa Raza, Hongtao Zhang +3

Automated image processing algorithms can improve the quality, efficiency, and consistency of classifying the morphology of heterogeneous carbonate rock and can deal with a massive…

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