- Quantitative Evaluation of the Remediation Process in Engineering Rock Fractures Using Electrical-resistivity Method:Transportation Infrastructure Geotechnology,2025,12
- Three-dimensional discrete fracture network identification based on deep learning and reversible jump Markov chain Monte Carlo algorithm:International Journal of Rock Mechanics and Mining Sciences,2025,197
- Deep learning-based inversion framework for fractured media characterization by assimilating hydraulic tomography and thermal tracer tomography data: Numerical and field study:Engineering Geology,2025,350
- Experimental investigation of thawing behavior of saline soils using resistivity method.[J:Journal of Geophysics and Engineering,2024,21(3):854-867.
- 陈赐海,邓亚平,Deep learning-based inversion framework by assimilating hydrogeological and geophysical data for an enhanced geothermal system characterization and thermal performance prediction.[J:Energy,2024,320
- Deng Yaping,Characterization of discrete fracture networks with deep-learning based hydrogeophysical inversion:Journal of Hydrology,2024,631):130819.
- Deng Yaping,Effects of grain size, solution salinity and pH on the electrical response of oil-bearing carbonate sands:Near Surface Geophysics,2022,20):253-264.
- Yang Ze,Deng Yaping,Characterizing temporal behavior of a thermal tracer in porous media by time-lapse electrical resistivity measurements:Hydrogeology Journal,2021,29):1173-1188.
- Deng Yaping,Application of spectral induced polarization for characterizing surfactant-enhanced DNAPL remediation in laboratory column experiments:Journal of Contaminant Hydrology,2020,230):103603.
- Deng Yaping,Complex conductivity of oil-contaminated clayey soil:Journal of Hydrology,2018,561):930-942.
