| Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks H Shabanpour, S Yousefi, RF Saen Journal of Cleaner Production, 10, 2017 | 106 | 2017 |
| How to evaluate sustainability of supply chains? A dynamic network DEA approach V Shokri Kahi, S Yousefi, H Shabanpour, R Farzipoor Saen Industrial Management & Data Systems 117 (9), 1866-1889, 2017 | 78 | 2017 |
| Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis S Yousefi, H Shabanpour, R Fisher, RF Saen Measurement 83, 72-85, 2016 | 75 | 2016 |
| Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA H Shabanpour, S Yousefi, RF Saen Transportation Research Part D: Transport and Environment 50, 129-143, 2017 | 69 | 2017 |
| A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation M Tavana, H Shabanpour, S Yousefi, RF Saen Neural Computing and Applications 27, 1-14, 2016 | 53 | 2016 |
| Ranking sustainable suppliers using congestion approach of data envelopment analysis H Shabanpour, A Fathi, S Yousefi, RF Saen Journal of cleaner production 240, 118190, 2019 | 28 | 2019 |
| Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis M Azadi, S Yousefi, RF Saen, H Shabanpour, F Jabeen Journal of Business Research 154, 113357, 2023 | 25 | 2023 |
| Selecting the best supply chain by goal programming and network data envelopment analysis S Yousefi, H Shabanpour, RF Saen RAIRO-Operations Research-Recherche Opérationnelle 49 (3), 601-617, 2015 | 24 | 2015 |
| Making an ideal decision-making unit using virtual network data envelopment analysis approach S Yousefi, H Shabanpour, RF Saen, GR Faramarzi International Journal of Business Performance Management 15 (4), 316-328, 2014 | 16 | 2014 |
| Forecasting sustainability of supply chains in the circular economy context: a dynamic network data envelopment analysis and artificial neural network approach H Shabanpour, S Yousefi, R Farzipoor Saen Journal of Enterprise Information Management, 2021 | 9 | 2021 |
| Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company S Yousefi, H Shabanpour, RF Saen RAIRO-operations Research 55 (1), 51-60, 2021 | 4 | 2021 |
| How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis S Yousefi, H Shabanpour, K Ghods, RF Saen Computers & Industrial Engineering 176, 108933, 2023 | 3 | 2023 |
| Evaluation the relationship between exposure to the brand purchase intention of luxury cars (With emphasis on the application of Nano biotechnology) H Khazaei, A Shahabi, H Igder, H Shabanpour, S Safdari Eur. J. Exp. Biol 3 (3), 2013 | 2 | 2013 |
| A breakthrough in circular economy: Using a closed-loop framework to assess the circularity of supply chains H Shabanpour, P Dargusch, D Wadley, RF Saen Journal of Cleaner Production, 141265, 2024 | | 2024 |
Reza Farzipoor SaenSultan Qaboos UniversityVerified email at squ.edu.om
