Chang-er L. Chen

MOE Key Laboratory Of Theoretical Chemistry Of Environment
Guangzhou, 510006, China

Last Updated: 09/26/2026

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Found 42 publications

Exploring the multiple photochemical behaviors of ionizable EDCs in aquatic environments: Kinetics, intermediates, and toxicity evolution.

Exploring the multiple photochemical behaviors of ionizable EDCs in aquatic environments: Kinetics, intermediates, and toxicity evolution.

Journal: Environmental research

Published: January 27, 2026

Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.

Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.

Journal: Environmental research

Published: December 22, 2025

Development and analysis of the adverse outcome pathway network for neurotoxicity.

Development and analysis of the adverse outcome pathway network for neurotoxicity.

Journal: Toxicology

Published: November 25, 2025

Retention time prediction of emerging contaminants via transfer learning with graph neural networks.

Retention time prediction of emerging contaminants via transfer learning with graph neural networks.

Journal: Journal of hazardous materials

Published: November 24, 2025

Predicting estrogen receptor agonists from plastic additives across various aquatic-related species using machine learning and AlphaFold2.

Predicting estrogen receptor agonists from plastic additives across various aquatic-related species using machine learning and AlphaFold2.

Journal: Journal of hazardous materials

Published: January 13, 2025

Development and validation of diffusive gradients in thin-films for in situ monitoring of ionic liquids in waters.

Development and validation of diffusive gradients in thin-films for in situ monitoring of ionic liquids in waters.

Journal: Analytical methods : advancing methods and applications

Published: October 24, 2024

Knowledge-based machine learning for predicting and understanding the androgen receptor (AR)-mediated reproductive toxicity in zebrafish.

Knowledge-based machine learning for predicting and understanding the androgen receptor (AR)-mediated reproductive toxicity in zebrafish.

Journal: Environment international

Published: June 06, 2024

Swine wastewater co-exposed with veterinary antibiotics enhanced the antibiotic resistance of endophytes in radish (Raphanus sativus L.).

Swine wastewater co-exposed with veterinary antibiotics enhanced the antibiotic resistance of endophytes in radish (Raphanus sativus L.).

Journal: Environmental pollution (Barking, Essex : 1987)

Published: May 22, 2024

Bisphenol A sorption on commercial polyvinyl chloride microplastics: Effects of UV-aging, biofilm colonization and additives on plastic behaviour in the environment.

Bisphenol A sorption on commercial polyvinyl chloride microplastics: Effects of UV-aging, biofilm colonization and additives on plastic behaviour in the environment.

Journal: Environmental pollution (Barking, Essex : 1987)

Published: March 15, 2024

Screening androgen receptor agonists of fish species using machine learning and molecular model in NORMAN water-relevant list.

Screening androgen receptor agonists of fish species using machine learning and molecular model in NORMAN water-relevant list.

Journal: Journal of hazardous materials

Published: December 05, 2023

Unveiling per- and polyfluoroalkyl substance contamination in Chinese paper products and assessing their exposure risk.

Unveiling per- and polyfluoroalkyl substance contamination in Chinese paper products and assessing their exposure risk.

Journal: Environment international

Published: December 05, 2023

In Situ Insight into the Availability and Desorption Kinetics of Per- and Polyfluoroalkyl Substances in Soils with Diffusive Gradients in Thin Films.

In Situ Insight into the Availability and Desorption Kinetics of Per- and Polyfluoroalkyl Substances in Soils with Diffusive Gradients in Thin Films.

Journal: Environmental science & technology

Published: May 08, 2023

Showing 1-12 of 42

Last Updated: 09/26/2026