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For: Zuo Q, Wu Q, Yu L, Li Y, Fan Y. Optimization of uncertain agricultural management considering the framework of water, energy and food. Agricultural Water Management 2021;253:106907. [DOI: 10.1016/j.agwat.2021.106907] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 13.0] [Reference Citation Analysis]
Number Citing Articles
1 Li W, Jiang S, Zhao Y, Li H, Zhu Y, He G, Xu Y, Shang Y. A copula-based security risk evaluation and probability calculation for water-energy-food nexus. Science of The Total Environment 2023;856:159236. [DOI: 10.1016/j.scitotenv.2022.159236] [Reference Citation Analysis]
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4 Naghavi S, Mirzaei A, Sardoei MA, Azarm H. Evaluating the synergy between water-energy-food nexus and decoupling pollution- agricultural growth for sustainable production in the agricultural sector.. [DOI: 10.21203/rs.3.rs-2024368/v1] [Reference Citation Analysis]
5 Wan H, Xu R, Zhang M, Cai Y, Li J, Shen X. A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods. Journal of Hydrology 2022;612:128081. [DOI: 10.1016/j.jhydrol.2022.128081] [Reference Citation Analysis]
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7 Gu D, Guo J, Fan Y, Zuo Q, Yu L. Evaluating water-energy-food system of Yellow River basin based on type-2 fuzzy sets and Pressure-State-Response model. Agricultural Water Management 2022;267:107607. [DOI: 10.1016/j.agwat.2022.107607] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
8 Radmehr A, Bozorg-Haddad O, Loáiciga HA. Integrated strategic planning and multi-criteria decision-making framework with its application to agricultural water management. Sci Rep 2022;12:8406. [PMID: 35589906 DOI: 10.1038/s41598-022-12194-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
9 Huang K, Dai L, Yu L, Fan Y, Huang G, Xiao Y, Wu Q. Planning regional-scale water-energy-food nexus system management under uncertainty: An inexact fractional programming method. Journal of Contaminant Hydrology 2022;247:103985. [DOI: 10.1016/j.jconhyd.2022.103985] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Li M, Zhao L, Zhang C, Liu Y, Fu Q. Optimization of agricultural resources in water-energy-food nexus in complex environment: A perspective on multienergy coordination. Energy Conversion and Management 2022;258:115537. [DOI: 10.1016/j.enconman.2022.115537] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Xu Y, Tan J, Wang X, Li W, He X, Hu X, Fan Y. Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method. Agricultural Water Management 2022;262:107323. [DOI: 10.1016/j.agwat.2021.107323] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Yue Q, Guo P, Wu H, Wang Y, Zhang C. Towards sustainable circular agriculture: An integrated optimization framework for crop-livestock-biogas-crop recycling system management under uncertainty. Agricultural Systems 2022;196:103347. [DOI: 10.1016/j.agsy.2021.103347] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
13 Huang W, Wang H. Drought and intensified agriculture enhanced vegetation growth in the central Pearl River Basin of China. Agricultural Water Management 2021;256:107077. [DOI: 10.1016/j.agwat.2021.107077] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
14 Luo Z, Xie Y, Ji L, Cai Y, Yang Z, Huang G. Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach. J Contam Hydrol 2021;242:103863. [PMID: 34375788 DOI: 10.1016/j.jconhyd.2021.103863] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]