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Lieyun Ding

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Jiang, Weiguang / Liu, Yuhan / Chen, Ke / Liu, Yihong / Ding, Lieyun (2024): Early-warning of unsafe hoisting operations: An integration of digital twin and knowledge graph. In: Developments in the Built Environment, v. 19 (October 2024).

    https://doi.org/10.1016/j.dibe.2024.100490

  2. Zhou, Ying / Zhang, Shuainan / Li, Chenshuang / Du, Mingxi / Ding, Lieyun (2024): Dynamic Resilience Assessment for Urban Healthcare Infrastructure Operations Considering the Spatiotemporal Characteristics of Public Health Emergencies. In: Journal of Management in Engineering (ASCE), v. 40, n. 6 (November 2024).

    https://doi.org/10.1061/jmenea.meeng-6176

  3. Gao, Han / Zhong, Botao / Ding, Lieyun (2024): A blockchain-based engineering design review service trading scheme for digital building permits. In: Automation in Construction, v. 165 (September 2024).

    https://doi.org/10.1016/j.autcon.2024.105496

  4. Zhou, Ying / Wang, Yu / Li, Chenshuang / Ding, Lieyun / Yang, Zhigang (2024): Health and comfort oriented automatic generative design and optimization of residence space layout: An integrated data-driven and knowledge-based approach. In: Developments in the Built Environment, v. 17 (March 2024).

    https://doi.org/10.1016/j.dibe.2023.100318

  5. Zhou, Cheng / Gao, Yuyue / Chen, Elton J. / Ding, Lieyun / Qin, Wenbo (2023): Deep learning technologies for shield tunneling: Challenges and opportunities. In: Automation in Construction, v. 154 (October 2023).

    https://doi.org/10.1016/j.autcon.2023.104982

  6. You, Ke / Zhou, Cheng / Ding, Lieyun (2023): Deep learning technology for construction machinery and robotics. In: Automation in Construction, v. 150 (June 2023).

    https://doi.org/10.1016/j.autcon.2023.104852

  7. Zhong, Botao / Pan, Xing / Ding, Lieyun / Chen, Qiang / Hu, Xiaowei (2023): Blockchain-driven integration technology for the AEC industry. In: Automation in Construction, v. 150 (June 2023).

    https://doi.org/10.1016/j.autcon.2023.104791

  8. Zhou, Ying / Wang, Yu / Li, Chenshuang / Ding, Lieyun / Wang, Cong (2022): Automatic generative design and optimization of hospital building layouts in consideration of public health emergency. In: Engineering, Construction and Architectural Management, v. 31, n. 4 (December 2022).

    https://doi.org/10.1108/ecam-08-2022-0757

  9. Wei, Wei / Ding, Lieyun / Luo, Hanbin / Li, Chen / Li, Guowei (2021): Automated bughole detection and quality performance assessment of concrete using image processing and deep convolutional neural networks. In: Construction and Building Materials, v. 281 (April 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.122576

  10. Jiang, Weiguang / Ding, Lieyun / Zhou, Cheng (2022): Digital twin: Stability analysis for tower crane hoisting safety with a scale model. In: Automation in Construction, v. 138 (June 2022).

    https://doi.org/10.1016/j.autcon.2022.104257

  11. You, Ke / Ding, Lieyun / Zhou, Cheng / Dou, Quanli / Wang, Xuepeng / Hu, Bin (2021): 5G-based earthwork monitoring system for an unmanned bulldozer. In: Automation in Construction, v. 131 (November 2021).

    https://doi.org/10.1016/j.autcon.2021.103891

  12. Jiang, Weiguang / Ding, Lieyun / Zhou, Cheng (2021): Cyber physical system for safety management in smart construction site. In: Engineering, Construction and Architectural Management, v. 28, n. 3 ( 2021).

    https://doi.org/10.1108/ecam-10-2019-0578

  13. Sheng, Da / Ding, Lieyun / Zhong, Botao / Love, Peter E. D. / Luo, Hanbin / Chen, Jiageng (2020): Construction quality information management with blockchains. In: Automation in Construction, v. 120 (December 2020).

    https://doi.org/10.1016/j.autcon.2020.103373

  14. Zhou, Cheng / Tang, Bin / Ding, Lieyun / Sekula, Przemyslaw / Zhou, Ying / Zhang, Zekun (2020): Design and automated assembly of Planetary LEGO Brick for lunar in-situ construction. In: Automation in Construction, v. 118 (October 2020).

    https://doi.org/10.1016/j.autcon.2020.103282

  15. Zhong, Botao / Pan, Xing / Love, Peter E. D. / Ding, Lieyun / Fang, Weili (2020): Deep learning and network analysis: Classifying and visualizing accident narratives in construction. In: Automation in Construction, v. 113 (May 2020).

    https://doi.org/10.1016/j.autcon.2020.103089

  16. Liu, Wenli / Ding, Lieyun (2020): Global sensitivity analysis of influential parameters for excavation stability of metro tunnel. In: Automation in Construction, v. 113 (May 2020).

    https://doi.org/10.1016/j.autcon.2020.103080

  17. Fang, Weili / Ding, Lieyun / Love, Peter E. D. / Luo, Hanbin / Li, Heng / Peña-Mora, Feniosky / Zhong, Botao / Zhou, Cheng (2020): Computer vision applications in construction safety assurance. In: Automation in Construction, v. 110 (February 2020).

    https://doi.org/10.1016/j.autcon.2019.103013

  18. Zhang, Limao / Wu, Xianguo / Ding, Lieyun / Skibniewski, Miroslaw J. / Lu, Yujie (2016): BIM-based Risk Identification System in Tunnel Construction. In: Journal of Civil Engineering and Management, v. 22, n. 4 (August 2016).

    https://doi.org/10.3846/13923730.2015.1023348

  19. Zhou, Cheng / Xu, Hengcheng / Ding, Lieyun / Wei, Linchun / Zhou, Ying (2019): Dynamic prediction for attitude and position in shield tunneling: A deep learning method. In: Automation in Construction, v. 105 (September 2019).

    https://doi.org/10.1016/j.autcon.2019.102840

  20. Guo, Shengyu / Ding, Lieyun / Zhang, Yongcheng / Skibniewski, Miroslaw J. / Liang, Kongzheng (2019): Hybrid Recommendation Approach for Behavior Modification in the Chinese Construction Industry. In: Journal of Construction Engineering and Management, v. 145, n. 6 (June 2019).

    https://doi.org/10.1061/(asce)co.1943-7862.0001665

  21. Ding, Lieyun / Wang, Fan / Luo, Hanbin / Yu, Minghui / Wu, Xianguo (2013): Feedforward Analysis for Shield-Ground System. In: Journal of Computing in Civil Engineering, v. 27, n. 3 (May 2013).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000219

  22. Ding, Lieyun / Fang, Weili / Luo, Hanbin / Love, Peter E. D. / Zhong, Botao / Ouyang, Xi (2018): A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory. In: Automation in Construction, v. 86 (February 2018).

    https://doi.org/10.1016/j.autcon.2017.11.002

  23. Fang, Weili / Ding, Lieyun / Luo, Hanbin / Love, Peter E. D. (2018): Falls from heights: A computer vision-based approach for safety harness detection. In: Automation in Construction, v. 91 (July 2018).

    https://doi.org/10.1016/j.autcon.2018.02.018

  24. Ding, Lieyun / Zhou, Ying / Akinci, Burcu (2014): Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD. In: Automation in Construction, v. 46 (October 2014).

    https://doi.org/10.1016/j.autcon.2014.04.009

  25. Zhou, Ying / Ding, Lieyun / Wang, Xiangyu / Truijens, Martijn / Luo, Hanbin (2015): Applicability of 4D modeling for resource allocation in mega liquefied natural gas plant construction. In: Automation in Construction, v. 50 (February 2015).

    https://doi.org/10.1016/j.autcon.2014.10.016

  26. Xu, Jie / Ding, Lieyun / Love, Peter E. D. (2017): Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing. In: Automation in Construction, v. 76 (April 2017).

    https://doi.org/10.1016/j.autcon.2017.01.010

  27. Zhou, Ying / Ding, Lieyun / Rao, Yang / Luo, Hanbin / Medjdoub, Benachir / Zhong, Hua (2017): Formulating project-level building information modeling evaluation framework from the perspectives of organizations: A review. In: Automation in Construction, v. 81 (September 2017).

    https://doi.org/10.1016/j.autcon.2017.05.004

  28. Fang, Qi / Li, Heng / Luo, Xiaochun / Ding, Lieyun / Luo, Hanbin / Li, Chengqian (2018): Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment. In: Automation in Construction, v. 93 (September 2018).

    https://doi.org/10.1016/j.autcon.2018.05.022

  29. Fang, Qi / Li, Heng / Luo, Xiaochun / Ding, Lieyun / Luo, Hanbin / Rose, Timothy M. / An, Wangpeng (2018): Detecting non-hardhat-use by a deep learning method from far-field surveillance videos. In: Automation in Construction, v. 85 (January 2018).

    https://doi.org/10.1016/j.autcon.2017.09.018

  30. Zhou, Cheng / Luo, Hanbin / Fang, Weili / Wei, Ran / Ding, Lieyun (2019): Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study. In: Automation in Construction, v. 97 (January 2019).

    https://doi.org/10.1016/j.autcon.2018.10.017

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