| UNet-based model for crack detection integrating visual explanations F Liu, L Wang Construction and Building Materials 322, 126265, 2022 | 84 | 2022 |
| Experimental investigation on the flexural behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag powder F Liu, W Ding, Y Qiao Construction and Building Materials 228, 116706, 2019 | 84 | 2019 |
| Experimental investigation on the tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag powder F Liu, W Ding, Y Qiao Construction and Building Materials 241, 118000, 2020 | 79 | 2020 |
| Microstructural characteristics and their impact on mechanical properties of steel-PVA fiber reinforced concrete F Liu, K Xu, W Ding, Y Qiao, L Wang Cement and concrete composites 123, 104196, 2021 | 65 | 2021 |
| Deep learning and infrared thermography for asphalt pavement crack severity classification F Liu, J Liu, L Wang Automation in Construction 140, 104383, 2022 | 48 | 2022 |
| Asphalt pavement crack detection based on convolutional neural network and infrared thermography F Liu, J Liu, L Wang IEEE Transactions on Intelligent Transportation Systems 23 (11), 22145-22155, 2022 | 44 | 2022 |
| An experimental investigation on the integral waterproofing capacity of polypropylene fiber concrete with fly ash and slag powder F Liu, W Ding, Y Qiao Construction and Building Materials 212, 675-686, 2019 | 41 | 2019 |
| An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag power F Liu, W Ding, Y Qiao, L Wang Frontiers of Structural and Civil Engineering 14, 1299-1315, 2020 | 27 | 2020 |
| Optimizing asphalt mix design through predicting the rut depth of asphalt pavement using machine learning J Liu, F Liu, C Zheng, D Zhou, L Wang Construction and Building Materials 356, 129211, 2022 | 24 | 2022 |
| Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning F Liu, J Liu, L Wang Automation in Construction 143, 104575, 2022 | 24 | 2022 |
| Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning J Liu, F Liu, C Zheng, EO Fanijo, L Wang Construction and Building Materials 360, 129439, 2022 | 16 | 2022 |
| Optimizing asphalt mix design through predicting effective asphalt content and absorbed asphalt content using machine learning J Liu, F Liu, C Zheng, D Zhou, L Wang Construction and Building Materials 325, 126607, 2022 | 16 | 2022 |
| Deep transfer learning-based vehicle classification by asphalt pavement vibration F Liu, Z Ye, L Wang Construction and Building Materials 342, 127997, 2022 | 14 | 2022 |
| Improving asphalt mix design by predicting alligator cracking and longitudinal cracking based on machine learning and dimensionality reduction techniques J Liu, F Liu, H Gong, EO Fanijo, L Wang Construction and Building Materials 354, 129162, 2022 | 12 | 2022 |
| Deep learning for neural decoding in motor cortex F Liu, S Meamardoost, R Gunawan, T Komiyama, C Mewes, Y Zhang, ... Journal of Neural Engineering 19 (5), 056021, 2022 | 11 | 2022 |
| PI-LSTM: Physics-informed long short-term memory network for structural response modeling F Liu, J Li, L Wang Engineering Structures 292, 116500, 2023 | 9 | 2023 |
| Compressive behavior of hybrid steel-polyvinyl alcohol fiber-reinforced concrete containing fly ash and slag powder: experiments and an artificial neural network model F Liu, W Ding, Y Qiao, L Wang, Q Chen Journal of Zhejiang University-SCIENCE A 22 (9), 721-735, 2021 | 7 | 2021 |
| Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis J Liu, F Liu, Z Wang, EO Fanijo, L Wang Construction and Building Materials 407, 133610, 2023 | 2 | 2023 |
| Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation F Liu, W Ding, Y Qiao, L Wang Underground Space 17, 60-81, 2024 | 1 | 2024 |
| Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning F Liu, J Liu, L Wang, IL Al-Qadi Automation in Construction 161, 105355, 2024 | | 2024 |
Linbing WangVirginia TechZweryfikowany adres z vt.edu
