Text Mining-Based Suspect Screening for Aquatic Risk Assessment in the Big Data Era: Event-Driven Taxonomy Links Chemical Exposures and Hazards-Reference-Cited by-同舟云学术

Text Mining-Based Suspect Screening for Aquatic Risk Assessment in the Big Data Era: Event-Driven Taxonomy Links Chemical Exposures and Hazards

Published:2023-05-15 Issue:11 Volume:10 Page:1004-1010
ISSN:2328-8930
Container-title:Environmental Science & Technology Letters
language:en
Short-container-title:Environ. Sci. Technol. Lett.

Author:

Cheng Fei¹,Huang Jiehui¹,Li Huizhen¹^ORCID,Escher Beate I.²^ORCID,Tong Yujun¹,König Maria¹,Wang Dali¹,Wu Fan¹^ORCID,Yu Zhiqiang³^ORCID,Brooks Bryan W.¹⁴^ORCID,You Jing¹^ORCID

Affiliation:

1. Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China

2. UFZ-Helmholtz Centre for Environmental Research-UFZ, Cell Toxicology, 04318 Leipzig, Germany

3. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China

4. Department of Environmental Science, Institute of Biomedical Studies, Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas 76798, United States

Funder

Guangdong Science and Technology Department

Guangzhou Municipal Science and Technology Bureau

Department of Education of Guangdong Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Water Science and Technology,Ecology,Environmental Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.3c00250

Reference32 articles.