| Reagents types in flotation of iron oxide minerals: A review F Nakhaei, M Irannajad Mineral processing and extractive metallurgy review 39 (2), 89-124, 2018 | 118 | 2018 |
| Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques F Nakhaei, MR Mosavi, A Sam, Y Vaghei International Journal of Mineral Processing 110, 140-154, 2012 | 93 | 2012 |
| Sulphur removal of iron ore tailings by flotation F Nakhaei, M Irannajad Journal of Dispersion Science and Technology 38 (12), 1755-1763, 2017 | 29 | 2017 |
| Copper recovery improvement in an industrial flotation circuit: A case study of Sarcheshmeh copper mine M Asghari, F Nakhaei, O VandGhorbany Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41 …, 2019 | 27 | 2019 |
| Comparison Between Neural Networks and Multiple Regression Methods in Metallurgical Performance Modeling of Flotation Column F Nakhaei, M Irannajad PHYSICOCHEMICAL PROBLEMS OF MINERAL PROCESSING, 2012 | 27 | 2012 |
| Concentrate grade prediction in an industrial flotation column using artificial neural network F Nakhaeie, A Sam, MR Mosavi Arabian Journal for Science and Engineering 38, 1011-1023, 2013 | 24 | 2013 |
| Recovery and grade prediction of pilot plant flotation column concentrate by a hybrid neural genetic algorithm F Nakhaei, MR Mosavi, A Sam International Journal of Mining Science and Technology 23 (1), 69-77, 2013 | 24 | 2013 |
| Application and comparison of RNN, RBFNN and MNLR approaches on prediction of flotation column performance F Nakhaei, M Irannajad International Journal of Mining Science and Technology 25 (6), 983-990, 2015 | 19 | 2015 |
| Investigation of effective parameters for molybdenite recovery from porphyry copper ores in industrial flotation circuit F Nakhaei, M Irannajad Physicochemical Problems of Mineral Processing 50, 2014 | 16 | 2014 |
| Prediction of XRF analyzers error for elements on-line assaying using Kalman Filter F Nakhaei, A Sam, MR Mosavi, A Nakhaei International Journal of Mining Science and Technology 22 (4), 595-601, 2012 | 16 | 2012 |
| Column flotation performance prediction: PCA, ANN and image analysis-based approaches F Nakhaei, M Irannajad, S Mohammadnejad Physicochemical Problems of Mineral Processing 55 (5), 1298–1310, 2019 | 15 | 2019 |
| Simultaneous optimization of flotation column performance using genetic evolutionary algorithm F Nakhaei, M Irannajad, M Yousefikhoshbakht Physicochemical Problems of Mineral Processing 52 (2), 874-893, 2016 | 15 | 2016 |
| Modeling and optimization of chemical reagents to improve copper flotation performance using response surface methodology S Ghodrati, F Nakhaei, O VandGhorbany, M Hekmati Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42 …, 2020 | 14 | 2020 |
| Evaluation of column flotation froth behavior by image analysis: Effects of operational factors in desulfurization of iron ore concentrate F Nakhaei, M Irannajad, S Mohammadnejad Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40 …, 2018 | 14 | 2018 |
| A comprehensive review of froth surface monitoring as aid for grade and recovery prediction of flotation process. Part B: Texture and dynamic features F Nakhaei, M Irannajad, S Mohammadnejad Energy Sources Part A Recovery Utilization and Environmental Effects, 2019 | 13* | 2019 |
| Prediction of copper grade at flotation column concentrate using artificial neural network F Nakhaei, A Sam, MR Mosavi, S Zeidabadi IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 1421-1424, 2010 | 13 | 2010 |
| Sulfur content reduction of iron concentrate by reverse flotation F Nakhaei, M Irannajad, S Mohammadnejad, AH Omran Energy Sources Part A Recovery Utilization and Environmental Effects, 2019 | 11* | 2019 |
| A comprehensive review of froth surface monitoring as an aid for grade and recovery prediction of flotation process. Part A: structural features F Nakhaei, M Irannajad, S Mohammadnejad Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2019 | 10* | 2019 |
| Application of d-optimal design for optimizing copper-molybdenum sulphides flotation F Nakhaei, M Irannajad, A Sam, A Jamalzadeh Physicochemical Problems of Mineral Processing 52 (1), 252--267, 2016 | 10 | 2016 |
| A review on floc-flotation of fine particles: Technological aspects, mechanisms, and future perspectives K Asgari, H Khoshdast, F Nakhaei, MR Garmsiri, Q Huang, ... Mineral Processing and Extractive Metallurgy Review, 1-28, 2023 | 8 | 2023 |
