| Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports K Liu, N El-Gohary Automation in Construction 81, 313-327, 2017 | 149 | 2017 |
| Crowdsourcing construction activity analysis from jobsite video streams K Liu, M Golparvar-Fard Journal of Construction Engineering and Management 141 (11), 04015035, 2015 | 78 | 2015 |
| Semantic modeling of bridge deterioration knowledge for supporting big bridge data analytics K Liu, N El-Gohary Construction Research Congress 2016, 930-939, 2016 | 20 | 2016 |
| Semantic neural network ensemble for automated dependency relation extraction from bridge inspection reports K Liu, N El-Gohary Journal of Computing in Civil Engineering 35 (4), 04021007, 2021 | 19 | 2021 |
| Fusing data extracted from bridge inspection reports for enhanced data-driven bridge deterioration prediction: A hybrid data fusion method K Liu, N El-Gohary Journal of Computing in Civil Engineering 34 (6), 04020047, 2020 | 17 | 2020 |
| Ontology-based sequence labelling for automated information extraction for supporting bridge data analytics K Liu, N El-Gohary Procedia Engineering 145, 504-510, 2016 | 14 | 2016 |
| Similarity-based dependency parsing for extracting dependency relations from bridge inspection reports K Liu, N El-Gohary Computing in Civil Engineering 2017, 316-323, 2017 | 13 | 2017 |
| Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics K Liu, El-Gohary, Nora Journal of Construction Engineering and Management 148 (6), 2022 | 11 | 2022 |
| Learning from class-imbalanced bridge and weather data for supporting bridge deterioration prediction K Liu, N El-Gohary Advances in Informatics and Computing in Civil and Construction Engineering …, 2019 | 11 | 2019 |
| Deep learning–based analytics of multisource heterogeneous bridge data for enhanced data-driven bridge deterioration prediction K Liu, N El-Gohary Journal of Computing in Civil Engineering 36 (5), 04022023, 2022 | 10 | 2022 |
| Characterizing data sharing in civil infrastructure engineering: Current practice, future vision, barriers, and promotion strategies Y Wang, P Tang, K Liu, J Cai, R Ren, JJ Lin, H Cai, J Zhang, N El-Gohary, ... Journal of Computing in Civil Engineering 37 (2), 04023001, 2023 | 9 | 2023 |
| Structural deterioration knowledge ontology towards physics-informed machine learning for enhanced bridge deterioration prediction X Hu, K Liu Journal of Computing in Civil Engineering 37 (1), 04022051, 2023 | 9 | 2023 |
| A smart bridge data analytics framework for enhanced bridge deterioration prediction K Liu, N El-Gohary Construction Research Congress 2020: Computer Applications, 1194-1202, 2020 | 8 | 2020 |
| Improved similarity assessment and spectral clustering for unsupervised linking of data extracted from bridge inspection reports K Liu, N El-Gohary Advanced Engineering Informatics 51, 101496, 2022 | 7 | 2022 |
| Unsupervised named entity normalization for supporting information fusion for big bridge data analytics K Liu, N El-Gohary Advanced Computing Strategies for Engineering: 25th EG-ICE International …, 2018 | 7 | 2018 |
| Feature discretization and selection methods for supporting bridge deterioration prediction K Liu, N El-Gohary Construction Research Congress 2018, 413-423, 2018 | 5 | 2018 |
| Ontology-based data integration for supporting big bridge data analytics K Liu, N El-Gohary 6th CSCE-CRC International Construction Specialty Conference 2017-Held as …, 2017 | 4 | 2017 |
| A hybrid information fusion method for fusing data extracted from inspection reports for supporting bridge data analytics K Liu, N El-Gohary ASCE International Conference on Computing in Civil Engineering 2019, 105-112, 2019 | 3 | 2019 |
| Crowdsourcing video-based workface assessment for construction activity analysis K Liu, M Golparvar-Fard ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2015 | 3 | 2015 |
| Semantic modeling for supporting planning decision making toward smart cities L Zhang, K Liu Construction Research Congress 2022, 272-280, 2022 | 2 | 2022 |
