Simulation studies of Cu(II) removal from aqueous solution using olive stone

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Cite
Agarwal, Ankita, et al. “Simulation Studies of Cu(II) Removal from Aqueous Solution Using Olive Stone”. Cleaner Materials, vol. 5, 2022, p. 100128, https://doi.org/10.1016/j.clema.2022.100128.
Agarwal, A., Upadhyay, U., Sreedhar, I., & Anitha, K. (2022). Simulation studies of Cu(II) removal from aqueous solution using olive stone. Cleaner Materials, 5, 100128. https://doi.org/10.1016/j.clema.2022.100128
Agarwal A, Upadhyay U, Sreedhar I, Anitha K. Simulation studies of Cu(II) removal from aqueous solution using olive stone. Cleaner Materials. 2022;5:100128.
Refrences
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Citations
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ASPAD dynamic simulation and artificial neural network for atenolol adsorption in GGSWAC packed bed column Environmental Science and Pollution Research
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Comparison of activated carbon and low-cost adsorbents for removal of 2,4-dichlorophenol from wastewater using Aspen Adsorption and response surface methodology Environmental Technology
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Valorization of Fibrous Plant-Based Food Waste as Biosorbents for Remediation of Heavy Metals from Wastewater—A Review

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  • Science: Chemistry: Organic chemistry
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  • Science: Chemistry
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Use of COMSOL software for modeling and simulation of copper removal in a dynamic mode on a new biowaste

Water Environment Research
  • Technology: Engineering (General). Civil engineering (General): Environmental engineering
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  • Science: Geology
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
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Citations Analysis
The category Geography. Anthropology. Recreation: Environmental sciences 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Use of COMSOL software for modeling and simulation of copper removal in a dynamic mode on a new biowaste and was published in 2022. The most recent citation comes from a 2023 study titled ASPAD dynamic simulation and artificial neural network for atenolol adsorption in GGSWAC packed bed column. This article reached its peak citation in 2023, with 3 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the Environmental Science and Pollution Research cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year