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For: Vatanpour V, Jouyandeh M, Mousavi Khadem SS, Paziresh S, Dehghan A, Ganjali MR, Moradi H, Mirsadeghi S, Badiei A, Munir MT, Mohaddespour A, Rabiee N, Habibzadeh S, Mashhadzadeh AH, Nouranian S, Formela K, Saeb MR. Highly antifouling polymer-nanoparticle-nanoparticle/polymer hybrid membranes. Sci Total Environ 2021;810:152228. [PMID: 34890675 DOI: 10.1016/j.scitotenv.2021.152228] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Peng S, Habibi M, Pourjabari A. Generalized differential quadrature element solution, swarm, and GA optimization technique to obtain the optimum frequency of the laminated rotary nanostructure. Engineering Analysis with Boundary Elements 2023;151:101-114. [DOI: 10.1016/j.enganabound.2023.02.052] [Reference Citation Analysis]
2 Asadi A, Nazari S, Gholami F, Dolatshah M. Facile and effectual surface modification of polyacrylonitrile (PAN)-based ultrafiltration membranes via manipulating the synergistic interaction of dopamine and enzymes. Journal of Water Process Engineering 2023;52:103562. [DOI: 10.1016/j.jwpe.2023.103562] [Reference Citation Analysis]
3 Jia D. On the stretchability prediction of sheet metals using an artificial neural network based on experimental data. Waves in Random and Complex Media 2023. [DOI: 10.1080/17455030.2023.2178832] [Reference Citation Analysis]
4 Zhang M, Meng Z, Shariati M. ANFIS-based forming limit prediction of stainless steel 316 sheet metals. Sci Rep 2023;13:3115. [PMID: 36813804 DOI: 10.1038/s41598-023-28719-5] [Reference Citation Analysis]
5 Chen X, Fan L, Ji D, Lin P. The capability of coupled fuzzy logic and adaptive neural network in the formability prediction of steel sheets. Waves in Random and Complex Media 2023. [DOI: 10.1080/17455030.2022.2162154] [Reference Citation Analysis]
6 Geleta TA, Maggay IV, Chang Y, Venault A. Recent Advances on the Fabrication of Antifouling Phase-Inversion Membranes by Physical Blending Modification Method. Membranes (Basel) 2023;13. [PMID: 36676865 DOI: 10.3390/membranes13010058] [Reference Citation Analysis]
7 Koyuncu I, Eryildiz B, Kaya R, Karakus Y, Zakeri F, Khataee A, Vatanpour V. Modification of reinforced hollow fiber membranes with WO3 nanosheets for treatment of textile wastewater by membrane bioreactor. Journal of Environmental Management 2023;326:116758. [DOI: 10.1016/j.jenvman.2022.116758] [Reference Citation Analysis]
8 Kim S, Kim D, Moradi H, Chang Y, Yang J. Highly porous biobased graphene-like carbon adsorbent for dye removal: Preparation, adsorption mechanisms and optimization. Journal of Environmental Chemical Engineering 2023. [DOI: 10.1016/j.jece.2023.109278] [Reference Citation Analysis]
9 Teng L, Yue C, Zhang G. Epoxied SiO2 nanoparticles and polyethyleneimine (PEI) coated polyvinylidene fluoride (PVDF) membrane for improved oil water separation, anti-fouling, dye and heavy metal ions removal capabilities. Journal of Colloid and Interface Science 2023;630:416-429. [DOI: 10.1016/j.jcis.2022.09.148] [Reference Citation Analysis]
10 Khosravi MJ, Hosseini SM, Vatanpour V. Polyamidoamine dendrimers-Mil-125(Ti) MOF embedded polyethersulfone membrane for enhanced removal of heavy metal, antibiotic and dye from water. Journal of Environmental Chemical Engineering 2022;10:108644. [DOI: 10.1016/j.jece.2022.108644] [Reference Citation Analysis]
11 Kim D, Moradi H, Chang Y, Yang J. Biopolymer-Biochar matrix for long-term stabilization of arsenic in soil: Performance, mechanisms, and the effect of cationic heavy metals. Biomass Conv Bioref 2022. [DOI: 10.1007/s13399-022-03531-9] [Reference Citation Analysis]
12 Moradi H, Kim D, Kim S, Chang Y, Yang J, Choi E, Kamranifard T. Experimental and numerical study on diazinon removal using plasma bubble column reactor: Modeling, kinetics, mechanisms, and degradation products. Journal of Environmental Chemical Engineering 2022;10:108291. [DOI: 10.1016/j.jece.2022.108291] [Reference Citation Analysis]
13 Vatanpour V, Dehqan A, Paziresh S, Zinadini S, Zinatizadeh AA, Koyuncu I. Polylactic acid in the fabrication of separation membranes: A review. Separation and Purification Technology 2022;296:121433. [DOI: 10.1016/j.seppur.2022.121433] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
14 Vatanpour V, Mousavi Khadem SS, Dehqan A, Paziresh S, Ganjali MR, Mehrpooya M, Pourbasheer E, Badiei A, Esmaeili A, Koyuncu I, Naderi G, Rabiee N, Abida O, Habibzadeh S, Saeb MR. Application of g-C3N4/ZnO nanocomposites for fabrication of anti-fouling polymer membranes with dye and protein rejection superiority. Journal of Membrane Science 2022. [DOI: 10.1016/j.memsci.2022.120893] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Koyuncu I, Yavuzturk Gul B, Esmaeili MS, Pekgenc E, Orhun Teber O, Tuncay G, Karimi H, Parvaz S, Maleki A, Vatanpour V. Modification of PVDF membranes by incorporation Fe3O4@Xanthan gum to improve anti-fouling, anti-bacterial, and separation performance. Journal of Environmental Chemical Engineering 2022;10:107784. [DOI: 10.1016/j.jece.2022.107784] [Reference Citation Analysis]
16 Shan L, Yang Z, Li W, Li H, Liu N, Wang Z. Highly antifouling porous EVAL/F127 blend membranes with hierarchical surface structures. Reactive and Functional Polymers 2022;175:105291. [DOI: 10.1016/j.reactfunctpolym.2022.105291] [Reference Citation Analysis]
17 Bhattacharya S, Singh D, Aich J, Ajazuddin, Shete MB. Development and characterization of Hyaluronic acid surface scaffolds Encorafenib loaded polymeric Nanoparticles for colorectal cancer targeting. Materials Today Communications 2022. [DOI: 10.1016/j.mtcomm.2022.103757] [Reference Citation Analysis]