| Measurement of International Roughness Index by Using Z‐Axis Accelerometers and GPS Y Du, C Liu, D Wu, S Jiang Mathematical Problems in Engineering 2014 (1), 928980, 2014 | 152 | 2014 |
| Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning C Liu, D Wu, Y Li, Y Du Transportation Research Part C: Emerging Technologies 125, 103048, 2021 | 112 | 2021 |
| Cross‐scene pavement distress detection by a novel transfer learning framework Y Li, P Che, C Liu, D Wu, Y Du Computer‐Aided Civil and Infrastructure Engineering 36 (11), 1398-1415, 2021 | 104 | 2021 |
| Application of vehicle mounted accelerometers to measure pavement roughness Y Du, C Liu, D Wu, S Li International Journal of Distributed Sensor Networks 12 (6), 8413146, 2016 | 67 | 2016 |
| A vibration-based vehicle classification system using distributed optical sensing technology H Zhao, D Wu, M Zeng, S Zhong Transportation Research Record 2672 (43), 12-23, 2018 | 54 | 2018 |
| A novel approach for pavement texture characterisation using 2D-wavelet decomposition Y Du, Z Weng, F Li, G Ablat, D Wu, C Liu International Journal of Pavement Engineering 23 (6), 1851-1866, 2022 | 39 | 2022 |
| Modeling automatic pavement crack object detection and pixel-level segmentation Y Du, S Zhong, H Fang, N Wang, C Liu, D Wu, Y Sun, M Xiang Automation in Construction 150, 104840, 2023 | 38 | 2023 |
| Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network H Zhao, D Wu, M Zeng, Y Tian, J Ling Construction and Building Materials 216, 214-226, 2019 | 31 | 2019 |
| Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network Z Weng, G Ablat, D Wu, C Liu, F Li, Y Du, J Cao Automation in construction 134, 104050, 2022 | 29 | 2022 |
| Promoting the pavement skid resistance estimation by extracting tire-contacted texture based on 3D surface data Y Du, B Qin, Z Weng, D Wu, C Liu Construction and Building Materials 307, 124729, 2021 | 25 | 2021 |
| A response-type road anomaly detection and evaluation method for steady driving of automated vehicles C Liu, T Nie, Y Du, J Cao, D Wu, F Li IEEE Transactions on Intelligent Transportation Systems 23 (11), 21984-21995, 2022 | 22 | 2022 |
| Pavement texture depth estimation using image-based multiscale features Z Weng, H Xiang, Y Lin, C Liu, D Wu, Y Du Automation in Construction 141, 104404, 2022 | 21 | 2022 |
| Support conditions assessment of concrete pavement slab using distributed optical fiber sensor H Zhao, D Wu, M Zeng, J Ling Transportmetrica A: Transport Science 15 (1), 71-90, 2019 | 21 | 2019 |
| Mathematical insights into the relationship between pavement roughness and vehicle vibration C Liu, D Wu, Y Li, S Jiang, Y Du International Journal of Pavement Engineering 23 (6), 1935-1947, 2022 | 20 | 2022 |
| A vibration-based traffic monitoring system using distributed optical sensing technology M Zeng, H Zhao, D Wu, H Chen, J Cai Journal of Testing and Evaluation 48 (3), 1799-1813, 2020 | 19 | 2020 |
| Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends C Liu, Y Du, G Yue, Y Li, D Wu, F Li Automation in Construction 158, 105185, 2024 | 18 | 2024 |
| Definition, function, and framework construction of a smart road H Zhao, D Wu New Frontiers in Road and Airport Engineering, 204-218, 2015 | 17 | 2015 |
| Framework of the new generation of smart highway Y Du, C Liu, D Wu, C Zhao China Journal of Highway and Transport 35 (04), 203-214, 2022 | 16 | 2022 |
| Dynamic pavement distress image stitching based on fine‐grained feature matching Y Du, Z Weng, C Liu, D Wu Journal of Advanced Transportation 2020 (1), 5804835, 2020 | 16 | 2020 |
| New generation of smart highway: Framework and insights C Liu, Y Du, Y Ge, D Wu, C Zhao, Y Li Journal of Advanced Transportation 2021 (1), 9445070, 2021 | 11 | 2021 |
