| Generation Y’s positive and negative eWOM: use of social media and mobile technology TC Zhang, BA Omran, C Cobanoglu International Journal of Contemporary Hospitality Management 29 (2), 732-761, 2017 | 361 | 2017 |
| Comparison of data mining techniques for predicting compressive strength of environmentally friendly concrete BA Omran, Q Chen, R Jin Journal of Computing in Civil Engineering 30 (6), 04016029, 2016 | 143 | 2016 |
| Studying early stage slope protection effects of vegetation communities for Xinnan Highway in China W Cao, BA Omran, Y Lei, X Zhao, X Yang, Q Chen, G Tian Ecological engineering 110, 87-98, 2018 | 28 | 2018 |
| Kluster: an efficient scalable procedure for approximating the number of clusters in unsupervised learning H Estiri, BA Omran, SN Murphy Big data research 13, 38-51, 2018 | 17 | 2018 |
| Trend on the implementation of analytical techniques for big data in construction research (2000–2014) BA Omran, Q Chen Construction Research Congress 2016, 990-999, 2016 | 16 | 2016 |
| Prediction of Compressive Strength of ‘Green’Concrete Using Artificial Neural Networks BA Omran, Q Chen, R Jin Sulbaran, T, 2014 | 13 | 2014 |
| Application of Data Mining and Big Data Analytics in the Construction Industry B Abounia Omran The Ohio State University, 2016 | 8 | 2016 |
| Prediction of Compressive Strength of BA Omran, Q Chen, R Jin Green” Concrete Using Artificial Neural Networks”, in Proc. 50th ASC Annual …, 2014 | 2 | 2014 |
| Generation Y's positive and negative eWOM: use of social media and mobile technology. ZTT Zhang TingTing, BA Omran, C Cobanoglu | | 2017 |
| Algorithm Design for Base Station Placement in 3D Building Environments J Liu, B Abounia-Omran, Q Chen, HD Sherali | | |
