Hongqin Fan
- (2024): Integrating Evolutionary Game and System Dynamics for Multi-player Safety Regulation of Major Infrastructure Projects in China. In: Journal of Civil Engineering and Management, v. 30, n. 4 (15 April 2024).
- (2023): Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds. In: Automation in Construction, v. 156 (December 2023).
- (2022): A Novel Quantitative Model for Determining Subsidy Levels to Accelerate the Replacement of In-Use Construction Equipment for Emissions Reduction. In: Journal of Management in Engineering (ASCE), v. 38, n. 2 (March 2022).
- (2017): An integrated system of text mining technique and case-based reasoning (TM-CBR) for supporting green building design. In: Building and Environment, v. 124 (November 2017).
- (2018): RBL-PHP: Simulation of Lean Construction and Information Technologies for Prefabrication Housing Production. In: Journal of Management in Engineering (ASCE), v. 34, n. 2 (March 2018).
- (2015): Project-Based As-Needed Information Retrieval from Unstructured AEC Documents. In: Journal of Management in Engineering (ASCE), v. 31, n. 1 (January 2015).
- (2015): Forecasting Construction and Demolition Waste Using Gene Expression Programming. In: Journal of Computing in Civil Engineering, v. 29, n. 5 (September 2015).
- (2008): Assessing Residual Value of Heavy Construction Equipment Using Predictive Data Mining Model. In: Journal of Computing in Civil Engineering, v. 22, n. 3 (May 2008).
- (2017): Collaborative innovation in construction project: A social network perspective. In: KSCE Journal of Civil Engineering, v. 22, n. 2 (June 2017).
- (2012): IT supported collaborative work in A/E/C projects: A ten-year review. In: Automation in Construction, v. 21 (January 2012).
- (2013): Retrieving similar cases for alternative dispute resolution in construction accidents using text mining techniques. In: Automation in Construction, v. 34 (September 2013).
- (2014): Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models. In: Automation in Construction, v. 38 (March 2014).
- (2006): Data warehousing for construction equipment management. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 33, n. 12 (December 2006).
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