| Membrane bioreactor (MBR) technology for wastewater treatment and reclamation: membrane fouling OT Iorhemen, Hamza, R A., JH Tay Membranes 6 (2), 33, 2016 | 447 | 2016 |
| Membrane fouling control in membrane bioreactors (MBRs) using granular materials OT Iorhemen, RA Hamza, JH Tay Bioresource Technology 240, 9-24, 2017 | 148 | 2017 |
| Comparative Evaluation of Biogas Production from Poultry Droppings, Cow Dung and Lemon Grass MI Alfa, SO Dahunsi, OT Iorhemen, CC Okafor, SA Ajayi Bioresource Technology 157, 270-277, 2014 | 147 | 2014 |
| Advances in biological systems for the treatment of high-strength wastewater RAH Hamza, OT Iorhemen, JH Tay Journal of Water Process Engineering 10, 128-142, 2016 | 121 | 2016 |
| Impact of food-to-microorganisms ratio on the stability of aerobic granular sludge treating high-strength organic wastewater RA Hamza, Z Sheng, OT Iorhemen, MS Zaghloul, JH Tay Water Research 147, 287-298, 2018 | 119 | 2018 |
| Occurrence, impacts and removal of emerging substances of concern from wastewater RA Hamza, OT Iorhemen, JH Tay Environmental Technology & Innovation 5, 161-175, 2016 | 119 | 2016 |
| A review of the state of development of aerobic granular sludge technology over the last 20 years: Full-scale applications and resource recovery R Hamza, A Rabii, F Ezzahraoui, G Morgan, OT Iorhemen Case Studies in Chemical and Environmental Engineering 5, 100173, 2022 | 106 | 2022 |
| Aerobic granular sludge membrane bioreactor (AGMBR): Extracellular polymeric substances (EPS) analysis OT Iorhemen, RA Hamza, MS Zaghloul, JH Tay Water Research 156, 305-314, 2019 | 96 | 2019 |
| Comparison of adaptive neuro-fuzzy inference systems (ANFIS) and support vector regression (SVR) for data-driven modelling of aerobic granular sludge reactors MS Zaghloul, RA Hamza, OT Iorhemen, JH Tay Journal of Environmental Chemical Engineering 8 (3), 103742, 2020 | 93 | 2020 |
| Optimization of organics to nutrients (COD: N: P) ratio for aerobic granular sludge treating high-strength organic wastewater RA Hamza, MS Zaghloul, OT Iorhemen, Z Sheng, JH Tay Science of The Total Environment 650, 3168-3179, 2019 | 77 | 2019 |
| Aerobic granulation: A recent development on the biological treatment of pulp and paper wastewater H Vashi, OT Iorhemen, JH Tay Environmental Technology & Innovation 9, 265-274, 2018 | 67 | 2018 |
| Effect of feeding strategy and organic loading rate on the formation and stability of aerobic granular sludge OT Iorhemen, Y Liu Journal of Water Process Engineering 39, 101709, 2021 | 58 | 2021 |
| Rapid formation and characterization of aerobic granules in pilot-scale sequential batch reactor for high-strength organic wastewater treatment RA Hamza, OT Iorhemen, MS Zaghloul, JH Tay Journal of Water Process Engineering 22, 27 - 33, 2018 | 56 | 2018 |
| Extensive studies on the treatment of pulp mill wastewater using aerobic granular sludge (AGS) technology H Vashi, OT Iorhemen, JH Tay Chemical Engineering Journal 359, 1175-1194, 2019 | 48 | 2019 |
| Submerged aerobic granular sludge membrane bioreactor (AGMBR): Organics and nutrients (nitrogen and phosphorus) removal OT Iorhemen, RA Hamza, Z Sheng, JH Tay Bioresource Technology Reports 6, 260-267, 2019 | 42 | 2019 |
| Long-term aerobic granular sludge stability through anaerobic slow feeding, fixed feast-famine period ratio, and fixed SRT OT Iorhemen, MS Zaghloul, RA Hamza, JH Tay Journal of Environmental Chemical Engineering 8 (2), 103681, 2020 | 41 | 2020 |
| Performance prediction of an aerobic granular SBR using modular multilayer artificial neural networks MS Zaghloul, RA Hamza, OT Iorhemen, JH Tay Science of The Total Environment 645, 449-459, 2018 | 40 | 2018 |
| Degradation of industrial tannin and lignin from pulp mill effluent by aerobic granular sludge technology H Vashi, OT Iorhemen, JH Tay Journal of Water Process Engineering 26, 38-45, 2018 | 39 | 2018 |
| Simultaneous organics and nutrients removal in side-stream aerobic granular sludge membrane bioreactor (AGMBR) OT Iorhemen, RA Hamza, MS Zaghloul, JH Tay Journal of Water Process Engineering 21, 127–132, 2018 | 39 | 2018 |
| Development of an ensemble of machine learning algorithms to model aerobic granular sludge reactors MS Zaghloul, OT Iorhemen, RA Hamza, JH Tay, G Achari Water research 189, 116657, 2021 | 37 | 2021 |
Rania HamzaToronto Metropolitan University (Formerly Ryerson University)在 torontomu.ca 的电子邮件经过验证
