| Deep transfer learning for image‐based structural damage recognition Y Gao, KM Mosalam Computer‐Aided Civil and Infrastructure Engineering 33 (9), 748-768, 2018 | 615 | 2018 |
| Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation Y Gao, B Kong, KM Mosalam Computer‐Aided Civil and Infrastructure Engineering 34 (9), 755-773, 2019 | 105 | 2019 |
| PEER Hub ImageNet: A large-scale multiattribute benchmark data set of structural images Y Gao, KM Mosalam Journal of Structural Engineering 146 (10), 04020198, 2020 | 57 | 2020 |
| Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime Y Gao, P Zhai, KM Mosalam Computer‐Aided Civil and Infrastructure Engineering 36 (9), 1094-1113, 2021 | 54 | 2021 |
| Deep semantic segmentation for visual understanding on construction sites Z Wang, Y Zhang, KM Mosalam, Y Gao, SL Huang Computer‐Aided Civil and Infrastructure Engineering 37 (2), 145-162, 2022 | 34 | 2022 |
| Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges Y Zheng, Y Gao, S Lu, KM Mosalam Computer‐Aided Civil and Infrastructure Engineering 37 (9), 1089-1108, 2022 | 32 | 2022 |
| Deep learning‐based bolt loosening detection for wind turbine towers X Yang, Y Gao, C Fang, Y Zheng, W Wang Structural Control and Health Monitoring 29 (6), e2943, 2022 | 27 | 2022 |
| Auto-regressive integrated moving-average machine learning for damage identification of steel frames Y Gao, KM Mosalam, Y Chen, W Wang, Y Chen Applied Sciences 11 (13), 6084, 2021 | 19 | 2021 |
| Dual generative adversarial networks for automated component layout design of steel frame-brace structures B Fu, Y Gao, W Wang Automation in Construction 146, 104661, 2023 | 12 | 2023 |
| Machine learning-aided multi-objective optimization of structures with hybrid braces–Framework and case study C Fang, Y Ping, Y Gao, Y Zheng, Y Chen Engineering Structures 269, 114808, 2022 | 11 | 2022 |
| NEW DIRECTIONS IN STRUCTURAL HEALTH MONITORING. K Mosalam, S Muin, Y Gao NED University Journal of Research, 2019 | 9 | 2019 |
| Deep learning visual interpretation of structural damage images Y Gao, KM Mosalam Journal of Building Engineering 60, 105144, 2022 | 8 | 2022 |
| Asymmetrical friction damper to improve seismic behavior of tension-only braces: An experimental and analytical study Z Gu, W Lu, Y Gao Engineering Structures 256, 114029, 2022 | 5 | 2022 |
| Semi-supervised transfer learning-based automatic weld defect detection and visual inspection DD Kumar, C Fang, Y Zheng, Y Gao Engineering Structures 292, 116580, 2023 | 3 | 2023 |
| Multiattribute multitask transformer framework for vision‐based structural health monitoring Y Gao, J Yang, H Qian, KM Mosalam Computer‐Aided Civil and Infrastructure Engineering 38 (17), 2358-2377, 2023 | 2 | 2023 |
| Automated simplified structural modeling method for megatall buildings based on genetic algorithm Z Gu, W Lu, Y Fan, Y Gao Journal of Building Engineering 77, 107485, 2023 | 1 | 2023 |
| Investigation on cumulative displacement of tension-only metallic yielding dissipators Z Gu, W Lu, Y Gao Engineering Structures 285, 115985, 2023 | 1 | 2023 |
| An uncoupled damping system for tension-only braced structures: experimental and numerical analysis Z Gu, W Lu, Y Fan, Y Gao Engineering Structures 281, 115777, 2023 | 1 | 2023 |
| Design and Analysis of GeoWall Based on the ASCE Student Competition Y Gao, C Xu Advances in Soil Dynamics and Foundation Engineering, 590-599, 2014 | 1 | 2014 |
| Bridge bearing damage identification based on statistical moment change rate Y Yang, Z Wang, Q Yang, X Tan, Y Gao Mechanical Systems and Signal Processing 206, 110898, 2024 | | 2024 |
