| Real‐time regional seismic damage assessment framework based on long short‐term memory neural network Y Xu, X Lu, B Cetiner, E Taciroglu Computer‐Aided Civil and Infrastructure Engineering 36 (4), 504-521, 2021 | 115 | 2021 |
| A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions X Lu, Y Xu, Y Tian, B Cetiner, E Taciroglu Earthquake Engineering & Structural Dynamics 50 (6), 1612-1627, 2021 | 86 | 2021 |
| Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning Y Xu, X Lu, Y Tian, Y Huang Journal of Earthquake Engineering 26 (8), 4259-4279, 2022 | 74 | 2022 |
| Real-time city-scale time-history analysis and its application in resilience-oriented earthquake emergency responses X Lu, Q Cheng, Z Xu, Y Xu, C Sun Applied Sciences 9 (17), 3497, 2019 | 57 | 2019 |
| A prediction method of building seismic loss based on BIM and FEMA P-58 Z Xu, H Zhang, X Lu, Y Xu, Z Zhang, Y Li Automation in Construction 102, 245-257, 2019 | 48 | 2019 |
| Seismic loss assessment for buildings with various-LOD BIM data Z Xu, X Lu, X Zeng, Y Xu, Y Li Advanced Engineering Informatics 39, 112-126, 2019 | 39 | 2019 |
| An improved linear quadratic regulator control method through convolutional neural network–based vibration identification X Lu, W Liao, W Huang, Y Xu, X Chen Journal of Vibration and Control 27 (7-8), 839-853, 2021 | 36 | 2021 |
| Advanced corrective training strategy for surrogating complex hysteretic behavior Y Xu, Y Fei, Y Huang, Y Tian, X Lu Structures 41, 1792-1803, 2022 | 10 | 2022 |
| A deep ensemble learning-driven method for the intelligent construction of structural hysteresis models Y Gu, X Lu, Y Xu Computers & Structures 286, 107106, 2023 | 8 | 2023 |
| Iterative self-transfer learning: A general methodology for response time-history prediction based on small dataset Y Xu, X Lu, Y Fei, Y Huang Journal of Computational Design and Engineering 9 (5), 2089-2102, 2022 | 7 | 2022 |
| Hysteretic behavior simulation based on pyramid neural network: Principle, network architecture, case study and explanation Y Xu, X Lu, Y Fei, Y Huang Advances in Structural Engineering 26 (13), 2359-2374, 2023 | 5 | 2023 |
| Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks G Zhai, Y Xu, BF Spencer Structural Health Monitoring, 14759217241231299, 2024 | 2 | 2024 |
| 基于 “风险源+ 承灾体+ 减灾体” 的城市安全表征 “库-网-流-谱-法” 理论框架 岳清瑞， 陆新征， 许镇， 田源， 顾栋炼， 郑哲， 徐永嘉， 费一凡， 孙楚津， ... 工程力学 39 (11), 52-62, 2022 | 2 | 2022 |
| 新冠肺炎疫情临时医院排风的环境影响快速模拟方法 顾栋炼， 张银安， 刘华斌， 马友才， 曹晓庆， 吕中一， 解琳琳， 许镇， 徐永嘉， ... 工程力学 37 (12), 243-249, 2020 | 2 | 2020 |
| Bio‐based laminated truss structures with bolted steel connections: Experiment, modeling, and model‐updating D Shi, Y Xu, C Demartino, Y Xiao, BF Spencer Earthquake Engineering & Structural Dynamics 53 (2), 739-755, 2024 | 1 | 2024 |
| Cyclic behavior of laminated bio-based connections with slotted-in steel plates: Genetic algorithm, deterministic neural network-based model parameter identification, and … D Shi, Y Xu, C Demartino, Y Xiao, BF Spencer Jr Engineering Structures 310, 118114, 2024 | | 2024 |
| A coupled data-physics computational framework for temperature, residual stress, and distortion modeling in autoclave process of composite materials Y Xu, Z Zhao, K Shrestha, W Seneviratne, S Liyanage, U Palliyaguru, ... Composites Part A: Applied Science and Manufacturing, 108218, 2024 | | 2024 |
