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      2022 lmpact Factor: 4.5
      2022 CiteScore:5.1
      Articles in press have been peer-reviewed and accepted, which are not yet edited and assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).
      Li Yong-sheng, Peng Chong, Ran Xiang-jin, Xue Lin-Fu, Chai She-li. 2022. Soil geochemical prospecting prediction method based on deep convolutional neural networks-Taking Daqiao Gold Deposit in Gansu Province, China as an example. China Geology, 5(1), 71‒83. doi: 10.31035/cg2021044.
      Citation: Li Yong-sheng, Peng Chong, Ran Xiang-jin, Xue Lin-Fu, Chai She-li. 2022. Soil geochemical prospecting prediction method based on deep convolutional neural networks-Taking Daqiao Gold Deposit in Gansu Province, China as an example. China Geology, 5(1), 71‒83. doi: 10.31035/cg2021044.

      Soil geochemical prospecting prediction method based on deep convolutional neural networks-Taking Daqiao Gold Deposit in Gansu Province, China as an example

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