| A proposal for construction project risk assessment using fuzzy logic JHM Tah, V Carr Construction Management & Economics 18 (4), 491-500, 2000 | 638 | 2000 |
| A fuzzy approach to construction project risk assessment and analysis: construction project risk management system V Carr, JHM Tah Advances in engineering software 32 (10-11), 847-857, 2001 | 522 | 2001 |
| Knowledge-based approach to construction project risk management JHM Tah, V Carr Journal of computing in civil engineering 15, 170, 2001 | 296 | 2001 |
| BIM in off-site manufacturing for buildings FH Abanda, JHM Tah, FKT Cheung Journal of building engineering 14, 89-102, 2017 | 279 | 2017 |
| Towards a framework for project risk knowledge management in the construction supply chain JHM Tah, V Carr Advances in Engineering software 32 (10-11), 835-846, 2001 | 275 | 2001 |
| Deep learning for detecting building defects using convolutional neural networks H Perez, JHM Tah, A Mosavi Sensors 19 (16), 3556, 2019 | 260 | 2019 |
| A critical analysis of Building Information Modelling systems used in construction projects FH Abanda, C Vidalakis, AH Oti, JHM Tah Advances in Engineering Software 90, 183-201, 2015 | 257 | 2015 |
| Early stage multi-level cost estimation for schematic BIM models FKT Cheung, J Rihan, J Tah, D Duce, E Kurul Automation in construction 27, 67-77, 2012 | 254 | 2012 |
| Learning from risks: A tool for post-project risk assessment I Dikmen, MT Birgonul, C Anac, JHM Tah, G Aouad Automation in Construction 18 (1), 42-50, 2008 | 218 | 2008 |
| A framework for the utilization of Building Management System data in building information models for building design and operation AH Oti, E Kurul, F Cheung, JHM Tah Automation in Construction 72, 195-210, 2016 | 169 | 2016 |
| Contractor project risks contingency allocation using linguistic approximation JHM Tah, A Thorpe, R McCaffer Computing systems in engineering 4 (2-3), 281-293, 1993 | 167 | 1993 |
| BIM–New rules of measurement ontology for construction cost estimation FH Abanda, B Kamsu-Foguem, JHM Tah Engineering Science and Technology, an International Journal 20 (2), 443-459, 2017 | 153 | 2017 |
| Prediction of compression index of fine-grained soils using a gene expression programming model D Mohammadzadeh S, SF Kazemi, A Mosavi, E Nasseralshariati, ... Infrastructures 4 (2), 26, 2019 | 150 | 2019 |
| Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning A Mosavi, S Shamshirband, E Salwana, K Chau, JHM Tah Engineering Applications of Computational Fluid Mechanics 13 (1), 482-492, 2019 | 147 | 2019 |
| Information modelling for a construction project risk management system JHM Tah, V Carr Engineering, Construction and Architectural Management 7 (2), 107-119, 2000 | 135 | 2000 |
| RFID-facilitated construction materials management (RFID-CMM)–A case study of water-supply project Z Ren, CJ Anumba, J Tah Advanced Engineering Informatics 25 (2), 198-207, 2011 | 124 | 2011 |
| Trends in built environment semantic Web applications: Where are we today? FH Abanda, JHM Tah, R Keivani Expert Systems with Applications 40 (14), 5563-5577, 2013 | 123 | 2013 |
| Mathematical modelling of embodied energy, greenhouse gases, waste, time–cost parameters of building projects: A review FH Abanda, JHM Tah, FKT Cheung Building and environment 59, 23-37, 2013 | 123 | 2013 |
| Genetic algorithms application and testing for equipment selection A Haidar, S Naoum, R Howes, J Tah Journal of construction engineering and management 125, 32, 1999 | 122 | 1999 |
| Structural sustainability appraisal in BIM AH Oti, W Tizani, FH Abanda, A Jaly-Zada, JHM Tah Automation in Construction 69, 44-58, 2016 | 113 | 2016 |
