基于CiteSpace的人工智能在重金属污染中的热点与趋势研究

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文章编号：1674-6139（2025）12-0039-06

中图分类号：X53文献标志码：A

Abstract：Thispaperaalyzesthegraphicsof596articlesonapplyingartificialintellgenceinheavymetalresearchfrom205to 2023，usingtheWebofScienceCoreColectionandCNKIliteraturedataasthedatasource.BasedoCiteSpaceandbibliometricmethods，thepaperconductshotspotandtrendaalysisbasedonthumberofarticlesperyareywods，andfrequeniesofthrpar ance.Teresultsshowthatthearticlenumberincreasedslowlyfrom2Oo5toO19，andthesopeoftificialintellgenceapplicationin heavymetalpolutionresearchasgraduallexpandedFromto3，tearticlevueshowedafluctuatinggowthtrendda tificialintellinceiayetallsachsrtliagfiddevelontbilitovaated predictheavymetalolutioninealtieusingartiialintellgncendataminngiscomingeseachspotThetrendfusing artficialintellgencendatanalysischologofurtrotizetespatialandtpaldistrbutioofavyetaloltiond build predictive models is on the rise.

Keywords：heavy metal pollution；artificial intelligence；CiteSpace；biliometric analysis

前言

重金属污染是全球环境与公共健康的重大挑战之一。（剩余6139字）