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For: Arabi M, Yaghoubi S, Tajik J. A mathematical model for microalgae-based biobutanol supply chain network design under harvesting and drying uncertainties. Energy 2019;179:1004-16. [DOI: 10.1016/j.energy.2019.04.219] [Cited by in Crossref: 18] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Srivastava RK, Shetti NP, Reddy KR, Kwon EE, Nadagouda MN, Aminabhavi TM. Biomass utilization and production of biofuels from carbon neutral materials. Environ Pollut 2021;276:116731. [PMID: 33607352 DOI: 10.1016/j.envpol.2021.116731] [Cited by in Crossref: 14] [Cited by in F6Publishing: 2] [Article Influence: 14.0] [Reference Citation Analysis]
2 Doliente SS, Narayan A, Tapia JFD, Samsatli NJ, Zhao Y, Samsatli S. Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components. Front Energy Res 2020;8:110. [DOI: 10.3389/fenrg.2020.00110] [Cited by in Crossref: 37] [Cited by in F6Publishing: 10] [Article Influence: 18.5] [Reference Citation Analysis]
3 Naeini MA, Zandieh M, Najafi SE, Sajadi SM. Analyzing the development of the third-generation biodiesel production from microalgae by a novel hybrid decision-making method: The case of Iran. Energy 2020;195:116895. [DOI: 10.1016/j.energy.2020.116895] [Cited by in Crossref: 13] [Article Influence: 6.5] [Reference Citation Analysis]
4 Zerafati ME, Bozorgi-Amiri A, Golmohammadi AM, Jolai F. A multi-objective mixed integer linear programming model proposed to optimize a supply chain network for microalgae-based biofuels and co-products: a case study in Iran. Environ Sci Pollut Res Int 2022. [PMID: 35301627 DOI: 10.1007/s11356-022-19465-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Arabi M, Yaghoubi S, Tajik J. Algal biofuel supply chain network design with variable demand under alternative fuel price uncertainty: A case study. Computers & Chemical Engineering 2019;130:106528. [DOI: 10.1016/j.compchemeng.2019.106528] [Cited by in Crossref: 18] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
6 Sharifi M, Hosseini-motlagh S, Samani MRG, Kalhor T. Novel resilient-sustainable strategies for second-generation biofuel network design considering Neem and Eruca Sativa under hybrid stochastic fuzzy robust approach. Computers & Chemical Engineering 2020;143:107073. [DOI: 10.1016/j.compchemeng.2020.107073] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 7.5] [Reference Citation Analysis]
7 Zeng J, Wang Z, Chen G. Biological characteristics of energy conversion in carbon fixation by microalgae. Renewable and Sustainable Energy Reviews 2021;152:111661. [DOI: 10.1016/j.rser.2021.111661] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
8 Akbarian-saravi N, Mobini M, Rabbani M. Development of a comprehensive decision support tool for strategic and tactical planning of a sustainable bioethanol supply chain: Real case study, discussions and policy implications. Journal of Cleaner Production 2020;244:118871. [DOI: 10.1016/j.jclepro.2019.118871] [Cited by in Crossref: 16] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
9 Stellingwerf HM, Guo X, Annevelink E, Behdani B. Logistics and Supply Chain Modelling for the Biobased Economy: A Systematic Literature Review and Research Agenda. Front Chem Eng 2022;4:778315. [DOI: 10.3389/fceng.2022.778315] [Reference Citation Analysis]
10 Arias DM, Ortíz-Sánchez E, Okoye PU, Rodríguez-Rangel H, Balbuena Ortega A, Longoria A, Domínguez-Espíndola R, Sebastian PJ. A review on cyanobacteria cultivation for carbohydrate-based biofuels: Cultivation aspects, polysaccharides accumulation strategies, and biofuels production scenarios. Sci Total Environ 2021;794:148636. [PMID: 34323759 DOI: 10.1016/j.scitotenv.2021.148636] [Reference Citation Analysis]
11 Zarei M, Niaz H, Dickson R, Ryu J, Liu JJ. Optimal Design of the Biofuel Supply Chain Utilizing Multiple Feedstocks: A Korean Case Study. ACS Sustainable Chem Eng 2021;9:14690-703. [DOI: 10.1021/acssuschemeng.1c03945] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
12 Ravanipour M, Hamidi A, Mahvi AH. Microalgae biodiesel: A systematic review in Iran. Renewable and Sustainable Energy Reviews 2021;150:111426. [DOI: 10.1016/j.rser.2021.111426] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 7.0] [Reference Citation Analysis]
13 Kang S, Heo S, Realff MJ, Lee JH. Three-stage design of high-resolution microalgae-based biofuel supply chain using geographic information system. Applied Energy 2020;265:114773. [DOI: 10.1016/j.apenergy.2020.114773] [Cited by in Crossref: 9] [Cited by in F6Publishing: 1] [Article Influence: 4.5] [Reference Citation Analysis]
14 Samani MRG, Hosseini-motlagh S. A mixed uncertainty approach to design a bioenergy network considering sustainability and efficiency measures. Computers & Chemical Engineering 2021;149:107305. [DOI: 10.1016/j.compchemeng.2021.107305] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
15 Hu L, Guo S, Wang B, Fu R, Fan D, Jiang M, Fei Q, Gonzalez R. Bio-valorization of C1 gaseous substrates into bioalcohols: Potentials and challenges in reducing carbon emissions. Biotechnology Advances 2022. [DOI: 10.1016/j.biotechadv.2022.107954] [Reference Citation Analysis]
16 Delkhosh F, Sadjadi SJ. A robust optimization model for a biofuel supply chain under demand uncertainty. Int J Energy Environ Eng 2020;11:229-45. [DOI: 10.1007/s40095-019-00329-w] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
17 Liao M, Yao Y. Applications of artificial intelligence‐based modeling for bioenergy systems: A review. GCB Bioenergy 2021;13:774-802. [DOI: 10.1111/gcbb.12816] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]