Jiangxi Academy of Environmental Sciences

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Guangdong Academy of Sciences中国3
2. Nanchang Hangkong University中国3
3. Hunan University中国2
4. Dalian University of Technology中国1
5. Shanghai Tongji Urban Planning and Design Institute中国1
6. Chinese Academy of Sciences中国1
7. Fudan University中国1

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逐年被引

最新文献

1. 1
   Using machine learning models to estimate ecotoxicity effect factors for various nanomaterials in life cycle assessmentJournal of Hazardous Materials20260
2. 2
   Deciphering the drivers and mechanisms of soil heavy metal(loid) pollution through deep learning and causal modelingJournal of Hazardous Materials20261
3. 3
   Deep treatment of mine-tailing wastewater with simultaneous manganese recovery using photo-assisted fuel cells shifting to photo-assisted electrolysis cellsJournal of Hazardous Materials20251
4. 4
   A transfer learning–enhanced deep learning framework for efficient and interpretable soil heavy metal pollution prediction under data scarcity and spatial heterogeneityJournal of Hazardous Materials202523
5. 5
   Integrated influence of sulfide modification on the reactivity of nanoscale zero-valent iron towards decabromodiphenyl ether under an electromagnetic fieldJournal of Hazardous Materials20243

高被引文献

1. 1
   A transfer learning–enhanced deep learning framework for efficient and interpretable soil heavy metal pollution prediction under data scarcity and spatial heterogeneityJournal of Hazardous Materials202523
2. 2
   Integrated influence of sulfide modification on the reactivity of nanoscale zero-valent iron towards decabromodiphenyl ether under an electromagnetic fieldJournal of Hazardous Materials20243
3. 3
   Deep treatment of mine-tailing wastewater with simultaneous manganese recovery using photo-assisted fuel cells shifting to photo-assisted electrolysis cellsJournal of Hazardous Materials20251
4. 4
   Deciphering the drivers and mechanisms of soil heavy metal(loid) pollution through deep learning and causal modelingJournal of Hazardous Materials20261

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