| Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example X Lai, L Yang, X He, Y Pang, X Song, W Sun Journal of Manufacturing Systems 69, 76-90, 2023 | 46 | 2023 |
| Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM J Ren, Z Wang, Y Pang, Y Yuan Advanced Engineering Informatics 52, 101563, 2022 | 45 | 2022 |
| Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization Y Pang, Y Wang, X Lai, S Zhang, P Liang, X Song Computer Methods in Applied Mechanics and Engineering 414, 116194, 2023 | 40 | 2023 |
| PR-FCM: a polynomial regression-based fuzzy C-means algorithm for attribute-associated data Y Pang, M Shi, L Zhang, X Song, W Sun Information Sciences 585, 209-231, 2022 | 37 | 2022 |
| OTL-PEM: an optimization-based two-layer pointwise ensemble of surrogate models Y Pang, Y Wang, W Sun, X Song Journal of Mechanical Design 144 (5), 051702, 2022 | 22 | 2022 |
| An expensive many-objective optimization algorithm based on efficient expected hypervolume improvement Y Pang, Y Wang, S Zhang, X Lai, W Sun, X Song IEEE Transactions on Evolutionary Computation 27 (6), 1822-1836, 2022 | 18 | 2022 |
| A scalable digital twin framework based on a novel adaptive ensemble surrogate model X Lai, X He, Y Pang, F Zhang, D Zhou, W Sun, X Song Journal of Mechanical Design 145 (2), 021701, 2023 | 16 | 2023 |
| A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines Y Pang, M Shi, L Zhang, W Sun, X Song Knowledge-Based Systems 242, 108362, 2022 | 15 | 2022 |
| A Kriging-assisted global reliability-based design optimization algorithm with a reliability-constrained expected improvement Y Pang, X Lai, S Zhang, Y Wang, L Yang, X Song Applied Mathematical Modelling 121, 611-630, 2023 | 12 | 2023 |
| On the ensemble of surrogate models by minimum screening index S Zhang, Y Pang, P Liang, X Song Journal of Mechanical Design 144 (7), 071707, 2022 | 11 | 2022 |
| Recursive surrogate model based on generalized regression neural network S Zhang, K Li, S Wang, J Li, Y Pang, X Song Applied Soft Computing 145, 110576, 2023 | 10 | 2023 |
| Multi-fidelity surrogate model ensemble based on feasible intervals S Zhang, P Liang, Y Pang, J Li, X Song Structural and Multidisciplinary Optimization 65 (8), 212, 2022 | 9 | 2022 |
| Industrial data denoising via low-rank and sparse representations and its application in tunnel boring machine Y Wang, Y Pang, W Sun, X Song Energies 15 (10), 3525, 2022 | 9 | 2022 |
| A multi-fidelity surrogate model based on design variable correlations X Lai, Y Pang, F Liu, W Sun, X Song Advanced Engineering Informatics 59, 102248, 2024 | 8 | 2024 |
| Multi-fidelity information fusion with hierarchical surrogate guided by feature mapping Y Wang, K Li, Q Li, Y Pang, L Lv, W Sun, X Song Knowledge-Based Systems 275, 110693, 2023 | 8 | 2023 |
| A pointwise-optimal ensemble of surrogate models P Liang, S Zhang, Y Pang, J Li, X Song Journal of Mechanical Design 145 (11), 2023 | 6 | 2023 |
| An adaptive ensemble of surrogate models based on heuristic model screening X Lai, Y Pang, S Zhang, W Sun, X Song Structural and Multidisciplinary Optimization 65 (12), 351, 2022 | 6 | 2022 |
| Ensemble learning based hierarchical surrogate model for multi-fidelity information fusion Y Wang, Y Pang, T Xue, S Zhang, X Song Advanced Engineering Informatics 60, 102535, 2024 | 5 | 2024 |
| Surrogate-assisted expensive constrained Bi-objective optimization with highly heterogeneous evaluations Y Pang, X Lai, Y Wang, X He, S Zhang, X Song Swarm and Evolutionary Computation 83, 101401, 2023 | 3 | 2023 |
| Digital twin-based online structural optimization? Yes, it's possible! X He, L Yang, Z Gong, Y Pang, J Li, Z Kan, X Song Thin-Walled Structures 208, 112796, 2025 | 2 | 2025 |