| Zero-liquid discharge (ZLD) technology for resource recovery from wastewater: A review M Yaqub, W Lee Science of the total environment 681, 551-563, 2019 | 292 | 2019 |
| Modeling of a full-scale sewage treatment plant to predict the nutrient removal efficiency using a long short-term memory (LSTM) neural network M Yaqub, H Asif, S Kim, W Lee Journal of Water Process Engineering 37, 2020 | 76 | 2020 |
| Environmental-, social-, and governance-related factors for business investment and sustainability: A scientometric review of global trends H Ahmad, M Yaqub, SH Lee Environment, Development and Sustainability 26 (2), 2965-2987, 2024 | 54 | 2024 |
| Heavy metals removal from aqueous solution through micellar enhanced ultrafiltration: A review M Yaqub, SH Lee Environmental Engineering Research 24 (3), 363-375, 2019 | 46 | 2019 |
| Micellar enhanced ultrafiltration (MEUF) of mercury-contaminated wastewater: Experimental and artificial neural network modeling M Yaqub, SH Lee Journal of Water Process Engineering 33, 101046, 2020 | 39 | 2020 |
| Electrolyzed water as a disinfectant: A systematic review of factors affecting the production and efficiency of hypochlorous acid Rita E. Ampiaw, M Yaqub, W Lee Journal of Water Process Engineering 43, https://doi.org/10.1016/j.jwpe.2021 …, 2021 | 38* | 2021 |
| Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater SK Bhagat, KE Pilario, OE Babalola, T Tiyasha, M Yaqub, CE Onu, ... Journal of Cleaner Production 385, 135522, 2023 | 31 | 2023 |
| Treating reverse osmosis concentrate to address scaling and fouling problems in zero-liquid discharge systems: A scientometric review of global trends M Yaqub, MN Nguyen, W Lee Science of The Total Environment 844, 157081, 2022 | 28 | 2022 |
| Soft computing techniques in prediction Cr (VI) removal efficiency of polymer inclusion membranes M Yaqub, B Eren, V Eyupoglu KOREAN SOC ENVIRONMENTAL ENGINEERS, 2020 | 25 | 2020 |
| Experimental and neural network modeling of micellar enhanced ultrafiltration for arsenic removal from aqueous solution M Yaqub, SH Lee Environmental Engineering Research 26 (1), 2021 | 24 | 2021 |
| Modeling nutrient removal by membrane bioreactor at a sewage treatment plant using machine learning models M Yaqub, W Lee Journal of Water Process Engineering 46, 102521, 2022 | 22 | 2022 |
| Flood causes, consequences and protection measures in Pakistan M Yaqub, B Eren, E Doğan Disaster Science and Engineering 1 (1), 8-16, 2015 | 22 | 2015 |
| Investigating micellar-enhanced ultrafiltration (MEUF) of mercury and arsenic from aqueous solution using response surface methodology and gene expression programming M Yaqub, S H Lee, W Lee Separation and Purification Technology 281 (15), 2021 | 21* | 2021 |
| Optimization of cesium adsorption by Prussian blue using experiments and gene expression modeling MN Nguyen, M Yaqub, S Kim, W Lee Journal of Water Process Engineering 41, 102084, 2021 | 18 | 2021 |
| Assessment of long-term nutrient effective waste-derived growth media for ornamental nurseries S Ozdemir, OH Dede, M Yaqub Waste and biomass valorization 8, 2663-2671, 2017 | 17 | 2017 |
| Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency M Yaqub, B Eren, V Eyüpoğlu Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20 (3), 533-542, 2016 | 17* | 2016 |
| Environmental Consciousness Survey of University Students B EREN, M Yaqub ISITES2015 Valencia -Spain, 2015 | 17 | 2015 |
| A comparative study of artificial neural network models for the prediction of Cd removal efficiency of polymer inclusion membranes B Eren, M Yaqub, V Eyupoglu Desalination Water Treat 143, 48-58, 2019 | 15 | 2019 |
| Optimization of hypochlorous acid generation by HCl electrolysis through response surface methodology and artificial neural networks M Yaqub, C Woo, W Lee Journal of Environmental Chemical Engineering 9 (5), 105826, 2021 | 14 | 2021 |
| Application of data-driven machine learning to predict propranolol and trimethoprim removal using a managed aquifer recharge system M Yaqub, S Park, E Alzahrani, AEA Farouk, W Lee Journal of Environmental Chemical Engineering 10 (1), 106847, 2022 | 12 | 2022 |
Doç. Dr. Beytullah ERENSakarya Üniversitesi Çevre Mühendisliği Bölümü / Sakarya University Environmental Engineeringsakarya.edu.tr üzerinde doğrulanmış e-posta adresine sahip
