1) Hongwei Guo, Zhen-Yu Yin. Physics-informed continuous and discrete Gaussian processes for forward and inverse soil consolidation analysis: Uncertainty quantification and diffusion kernel-based multi-fidelity modeling. Computer Methods in Applied Mechanics and Engineering 448 (2026): 118438.（JCR 1区，IF: 7.3）
2) Shan Lin, Miao Dong, Hongwei Guo*, Lele Zheng, Kaiyang Zhao, and Hong Zheng. Early warning system for risk assessment in geotechnical engineering using Kolmogorov-Arnold networks. Journal of Rock Mechanics and Geotechnical Engineering (2025). （JCR 1区，IF: 10.2）
3) Hongwei Guo, Chao Zhang, Hongyuan Fang, Timon Rabczuk, and Xiaoying Zhuang. Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources. Underground Space (2025).（JCR 1区，IF: 8.3）
4) Lele Zheng, Shan Lin, Hongwei Guo*, Xitailang Cao, and Hong Zheng. Real-time rockburst assessment based on a novel hybrid convolutional long short-term memory network based on microseismic monitoring data. Engineering Failure Analysis 169 (2025): 109191. （JCR 1区，IF: 5.7）
5) Hongwei Guo, Zhen-Yu Yin. A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems. Computer Methods in Applied Mechanics and Engineering 421 (2024): 116819.（JCR 1区，IF: 7.3）
6) Xitailang Cao, Shan Lin, Zenglong Liang, Hongwei Guo*, Hong Zheng. Meshless numerical manifold method with novel subspace tracking and CSS locating techniques for slope stability analysis. Computers and Geotechnics 166 (2024): 106025.（JCR 1区，IF: 6.2）
7) Hongwei Guo, Xitailang Cao, Zenglong Liang, Shan Lin, Hong Zheng, and Hao Cui. Hermitian numerical manifold method for large deflection of irregular Föppl-von Kármán plates. Engineering Analysis with Boundary Elements 153 (2023): 25-38.（JCR 1区，IF: 4.1）
8) Hongwei Guo, Xiaoying Zhuang, Naif Alajlan, and Timon Rabczuk. Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials. Computational Mechanics 72(3) (2023): 513-524.（JCR 1区，IF: 4.1）
9) Hongwei Guo, Xiaoying Zhuang, Naif Alajlan, and Timon Rabczuk. Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning[J]. Computers & Mathematics with Applications 143 (2023): 303-317. (Highly Cited Paper)（JCR 1区，IF: 3.218）
10) Hongwei Guo, Xiaoying Zhuang, Pengwan Chen, Naif Alajlan, and Timon Rabczuk. Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media. Engineering with Computers 38(6) (2022): 5173-5198. (Highly Cited Paper/Hot paper)（JCR 1区，IF: 8.1）
11) Hongwei Guo, Xiaoying Zhuang, and Timon Rabczuk. A deep collocation method for the bending analysis of Kirchhoff plate. Computers, Materials & Continua 59(2) (2019): 433-456. (Highly Cited Paper/Hot paper) （JCR 1区，IF: 4.89）
12) Hongwei Guo, Hong Zheng, and Xiaoying Zhuang. Numerical manifold method for vibration analysis of Kirchhoff's plates of arbitrary geometry. Applied Mathematical Modelling 66 (2019): 695-727.（JCR 1区，IF: 5.336）
13) Hongwei Guo, Hong Zheng. The linear analysis of thin shell problems using the numerical manifold method. Thin-Walled Structures 124 (2018): 366-383. （JCR 1区，IF: 6.6）
14) Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami, Vien Minh Nguyen-Thanh, Hongwei Guo, Khader Hamdia, X. Zhuang, and T. Rabczuk. An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications. Computer Methods in Applied Mechanics and Engineering 362 (2020): 112790. (Highly Cited Paper/Hot paper).
15) 郭宏伟和庄晓莹. 采用两步优化器的深度配点法与深度能量法求解薄板弯曲问题. 固体力学学报 42(3) (2021): 249-266.
