| RBL-PHP: Simulation of lean construction and information technologies for prefabrication housing production X Li, GQ Shen, P Wu, H Fan, H Wu, Y Teng Journal of Management in Engineering 34 (2), 04017053, 2018 | 148 | 2018 |
| Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models H Yip, H Fan, Y Chiang Automation in Construction 38, 30-38, 2014 | 119 | 2014 |
| Retrieving similar cases for alternative dispute resolution in construction accidents using text mining techniques H Fan, H Li Automation in construction 34, 85-91, 2013 | 116 | 2013 |
| An integrated system of text mining technique and case-based reasoning (TM-CBR) for supporting green building design L Shen, H Yan, H Fan, Y Wu, Y Zhang Building and Environment 124, 388-401, 2017 | 107 | 2017 |
| IT supported collaborative work in A/E/C projects: A ten-year review X Xue, Q Shen, H Fan, H Li, S Fan Automation in Construction 21, 1-9, 2012 | 101 | 2012 |
| A nonparametric outlier detection for effectively discovering top-n outliers from engineering data H Fan, OR Zaïane, A Foss, J Wu Pacific-Asia conference on knowledge discovery and data mining, 557-566, 2006 | 89 | 2006 |
| Reliability analysis and failure prediction of construction equipment with time series models Q Fan, H Fan Journal of Advanced Management Science Vol 3 (3), 163-177, 2015 | 83 | 2015 |
| Comparing the value of information sharing under different inventory policies in construction supply chain X Xue, Q Shen, Y Tan, Y Zhang, H Fan International Journal of Project Management 29 (7), 867-876, 2011 | 82 | 2011 |
| Collaborative innovation in construction project: A social network perspective X Xue, R Zhang, L Wang, H Fan, RJ Yang, J Dai KSCE Journal of Civil Engineering 22, 417-427, 2018 | 77 | 2018 |
| Project-based as-needed information retrieval from unstructured AEC documents H Fan, F Xue, H Li Journal of Management in Engineering 31 (1), A4014012, 2015 | 55 | 2015 |
| Assessing residual value of heavy construction equipment using predictive data mining model H Fan, S AbouRizk, H Kim, O Zaïane Journal of Computing in Civil Engineering 22 (3), 181-191, 2008 | 54 | 2008 |
| A critical review and analysis of construction equipment emission factors H Fan Procedia engineering 196, 351-358, 2017 | 52 | 2017 |
| Resolution-based outlier factor: detecting the top-n most outlying data points in engineering data H Fan, OR Zaïane, A Foss, J Wu Knowledge and Information Systems 19 (1), 31-51, 2009 | 49 | 2009 |
| Forecasting construction and demolition waste using gene expression programming Z Wu, H Fan, G Liu Journal of computing in civil engineering 29 (5), 04014059, 2015 | 38 | 2015 |
| Data warehousing for construction equipment management H Fan, H Kim, OR Zaïane Canadian Journal of Civil Engineering 33 (12), 1480-1489, 2006 | 23 | 2006 |
| Policy instruments for addressing construction equipment emission——A research review from a global perspective Z Huang, H Fan, L Shen, X Du Environmental Impact Assessment Review 86, 106486, 2021 | 22 | 2021 |
| Case-based reasoning for selection of the best practices in low-carbon city development Z Huang, H Fan, L Shen Frontiers of Engineering Management 6 (3), 416-432, 2019 | 21 | 2019 |
| Measuring regional differences of construction productive efficiency in China: A distance friction minimization approach M Luo, H Fan, G Liu Engineering, construction and architectural management 27 (4), 952-974, 2020 | 19 | 2020 |
| Overview and analysis of the text mining applications in the construction industry H Yan, M Ma, Y Wu, H Fan, C Dong Heliyon 8 (12), 2022 | 17 | 2022 |
| A study on the factors affecting the economical life of heavy construction equipment H Fan, Z Jin 28th International Symposium on Automation and Robotics in Construction …, 2011 | 17 | 2011 |
Heng LiChair Professor of Construction Informatics, The Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
