Deep Learning Based Modeling of Groundwater Storage Change

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Anul Haq, Mohd, et al. “Deep Learning Based Modeling of Groundwater Storage Change”. Computers, Materials &Amp; Continua, vol. 70, no. 3, 2022, pp. 4599-17, https://doi.org/10.32604/cmc.2022.020495.
Anul Haq, M., Khadar Jilani, A., & Prabu, P. (2022). Deep Learning Based Modeling of Groundwater Storage Change. Computers, Materials &Amp; Continua, 70(3), 4599-4617. https://doi.org/10.32604/cmc.2022.020495
Anul Haq, Mohd, Abdul Khadar Jilani, and P. Prabu. “Deep Learning Based Modeling of Groundwater Storage Change”. Computers, Materials &Amp; Continua 70, no. 3 (2022): 4599-4617. https://doi.org/10.32604/cmc.2022.020495.
Anul Haq M, Khadar Jilani A, Prabu P. Deep Learning Based Modeling of Groundwater Storage Change. Computers, Materials & Continua. 2022;70(3):4599-617.
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Citations Analysis
The category Medicine 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Intellligent sustainable agricultural water practice using multi sensor spatiotemporal evolution and was published in 2021. The most recent citation comes from a 2024 study titled CNN‐based defect detection in manufacturing. This article reached its peak citation in 2023, with 8 citations. It has been cited in 12 different journals, 41% of which are open access. Among related journals, the PLOS ONE cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year