| 2026 | Jinlong Fu*, Dunhui Xiao*, Wei Tan*, and Xiaoying Zhuang*: Computational intelligence in stochastic reconstruction of porous microstructures for image-based poro/micro-mechanical modeling. In: Archives of Computational Methods in Engineering, 32, 2026, 1-69 |
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| 2025 | Pinghe Ni, Xiaoyu Su, Jinlong Fu* and Yulei Bai: A hybrid snake optimizer with crisscross learning strategy forconstrained structural optimization. In: Engineering Optimization, 2025, 1–36 |
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| 2025 | Chuanhua Zhu, Jinlong Fu*, Dunhui Xiao, Jinsheng Wang: Nonlinear model order reduction of engineering turbulence using data-assisted neural networks. In: Computer Physics Communications, 309, 2025, 109501 |
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| 2025 | Jinlong Fu, Wei Tan: Stochastic reconstruction of multiphase composite microstructures using statistics-encoded neural network for poro/micro-mechanical modelling. In: Computer Methods in Applied Mechanics and Engineering, 441, 2025, 117986 |
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| 2024 | Chuanhua Zhu, Dunhui Xiao, Jinlong Fu*, YT Feng, Rui Fu, Jinsheng Wang: A data-driven computational framework for non-intrusive reduced-order modelling of turbulent flows passing around bridge piers. In: Ocean Engineering, 308, 2024, 118308 |
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| 2024 | Ming Xia, Jinlong Fu*, Y.T. Feng, Fengqiang Gong, Jin Yu: A particle-resolved heat-particle-fluid coupling model by DEM-IMB-LBM. In: Journal of Rock Mechanics and Geotechnical Engineering, 16, 2024, 2267-2281 |
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| 2024 | Pinghe Ni, Zhishen Yuan, Jinlong Fu*, Yulei Bai, Liang Liu: Stochastic design optimization of nonlinear structures under random seismic excitations using incremental dynamic analysis. In: Probabilistic Engineering Mechanics, 78, 2024, 103707 |
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| 2023 | Jinlong Fu, Min Wang, Bin Chen, Jinsheng Wang, Dunhui Xiao, Min Luo, Ben Evans: A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation. In: Engineering with Computers, 39, 2023, 3895-3926 |
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| 2023 | Jinlong Fu, Min Wang, Dunhui Xiao, Shan Zhong, Xiangyun Ge, Minglu Wu, Ben Evans: Hierarchical reconstruction of 3D well-connected porous media from 2D exemplars using statistics-informed neural network. In: Computer Methods in Applied Mechanics and Engineering, 410, 2023, 116049 |
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| 2023 | Jinlong Fu, Dunhui Xiao, Rui Fu, Chenfeng Li, Chuanhua Zhu, Rossella Arcucci, Ionel M Navon: Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes. In: Computer Methods in Applied Mechanics and Engineering, 404, 2023, 115771 |
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| 2023 | Zhixiong Zeng, Jinlong Fu*, Yuntian Feng, Min Wang: Revisiting the empirical particle‐fluid coupling model used in DEM‐CFD by high‐resolution DEM‐LBM‐IMB simulations: A 2D perspective. In: International Journal for Numerical and Analytical Methods in Geomechanics, 47, 2023, 862–879 |
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| 2022 | Jinlong Fu, Dunhui Xiao, Dongfeng Li, Hywel R. Thomas, Chenfeng Li: Stochastic reconstruction of 3D microstructures from 2D cross-sectional images using machine learning-based characterization. In: Computer Methods in Applied Mechanics and Engineering, 390, 2022, 114532 |
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| 2021 | Jinlong Fu, Shaoqing Cui, Song Cen, Chenfeng Li: Statistical characterization and reconstruction of heterogeneous microstructures using deep neural network. In: Computer Methods in Applied Mechanics and Engineering, 373, 2021, 113516 |
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| 2021 | Jinlong Fu, Hywel R Thomas, Chenfeng Li: Tortuosity of porous media: Image analysis and physical simulation. In: Earth-Science Reviews, 212, 2021, 103439 |
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| 2020 | Jinlong Fu, Jiabin Dong, Yongliang Wang, Yang Ju, D Roger J Owen, Chenfeng Li: Resolution Effect: An Error Correction Model for Intrinsic Permeability of Porous Media Estimated from Lattice Boltzmann Method. In: Transport in Porous Media, 132, 2020, 627–656 |
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