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A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter2023 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access
Jianbing Jin, Arjo J. Segers, Hong Liao, Ke Li, Bufan Xu, Wei Han, +2 more
14citations -
Inferring Parameters in a Complex Land Surface Model by Combining Data Assimilation and Machine Learning2025 Journal of Advances in Modeling Earth Systems article Environmental Science Soil Moisture and Remote Sensing Open access
Lasse Torben Keetz, Kristoffer Aalstad, Rosie A. Fisher, Christian Poppe Terán, Bibi S. Naz, Norbert Pirk, +2 more
0citations -
Development of a machine‐learning model to identify the impacts of pesticides characteristics on soil microbial communities from high‐throughput sequencing data2022 Environmental Microbiology article Environmental Science Pesticide and Herbicide Environmental Studies Open access
Mingjing Ke, Nuohan Xu, Zhenyan Zhang, Danyan Qiu, Jian Kang, Tao Lu, +5 more
25citations -
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties2022 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access
Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, +2 more
30citations -
Quantifying mangrove leaf area index from Sentinel-2 imagery using hybrid models and active learning2022 International Journal of Remote Sensing article Environmental Science Remote Sensing in Agriculture Open access
Nguyễn An Bình, Leon T. Hauser, Pham Viet Hoa, Giang Thị Phương Thảo, Nguyen Ngoc An, Huynh Song Nhut, +1 more
49citations -
An Intelligent Early Warning System for Harmful Algal Blooms: Harnessing the Power of Big Data and Deep Learning2024 Environmental Science & Technology article Environmental Science Aquatic Ecosystems and Phytoplankton Dynamics
Jing Qian, Li Qian, Nan Pu, Yonghong Bi, Andre Wilhelms, Stefan Norra
60citations -
Synthetic rainfall data generator development through decentralised model training2022 Journal of Hydrology article Environmental Science Hydrological Forecasting Using AI Open access
Sascha Welten, Adrian Holt, Julian Hofmann, Lennart Schelter, Elena‐Maria Klopries, Thomas Wintgens, +1 more
7citations -
Predicting Aquatic Species Sensitivity Distributions Using Machine Learning in a Regulatory Setting2026 Chemical Research in Toxicology article Environmental Science Environmental Toxicology and Ecotoxicology Open access
Jordi Minnema, Emiel Rorije, Willie J.G.M. Peijnenburg, Pim N.H. Wassenaar
1citations -
Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China2022 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access
Fang Li, Jianbing Jin, Arjo J. Segers, Hai Xiang Lin, Mijie Pang, Tuo Deng, +1 more
25citations -
Building species trait-specific nano-QSARs: Model stacking, navigating model uncertainties and limitations, and the effect of dataset size2024 Environment International article Environmental Science Environmental Toxicology and Ecotoxicology Open access
Surendra Balraadjsing, Willie J.G.M. Peijnenburg, Martina G. Vijver
19citations -
Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods2025 Environmental Science & Technology article Environmental Science Environmental Toxicology and Ecotoxicology Open access
Ying Wang, Yunchi Zhou, Yinghao Cheng, Xiaoli Zhao, Willie J.G.M. Peijnenburg, Martina G. Vijver, +3 more
55citations -
Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning2020 Journal of Membrane Science article Environmental Science Membrane Separation Technologies Open access
Deniz Rall, Artur M. Schweidtmann, Elizaveta Evdochenko, Alexander Mitsos, Matthias Weßling
73citations -
Unlocking advanced waste management models: Machine learning integration of emerging technologies into regional systems2025 Resources Conservation & Recycling Advances article Environmental Science Municipal Solid Waste Management Open access
Nicolás Martínez-Ramón, Ioan-Robert Istrate, Diego Iribarren, Javier Dufour
1citations -
Integrating Functional Genomic Descriptors into Explainable Machine-Learning Models for Cross-Aquatic Species Prediction of Metal-Containing Nanomaterials Ecotoxicity2026 Environmental Science & Technology Letters article Environmental Science Environmental Toxicology and Ecotoxicology
Yunchi Zhou, Ying Wang, Willie J.G.M. Peijnenburg, Martina G. Vijver, Kmy Leung, Surendra Balraadjsing, +3 more
0citations -
Identification of driving factors of algal growth in the South-to-North Water Diversion Project by Transformer-based deep learning2023 Water Biology and Security article Environmental Science Aquatic Ecosystems and Phytoplankton Dynamics Open access
Jing Qian, Nan Pu, Li Qian, Xiaobai Xue, Yonghong Bi, Stefan Norra
23citations -
Global models and predictions of plant diversity based on advanced machine learning techniques2022 New Phytologist article Environmental Science Ecology and Vegetation Dynamics Studies Open access
Lirong Cai, Holger Kreft, Amanda Taylor, Pierre Denelle, Julian Schrader, Franz Essl, +19 more
185citations -
Using Machine Learning to Predict Adverse Effects of Metallic Nanomaterials to Various Aquatic Organisms2023 Environmental Science & Technology article Environmental Science Environmental Toxicology and Ecotoxicology Open access cited by 1 patent
Yunchi Zhou, Ying Wang, Willie J.G.M. Peijnenburg, Martina G. Vijver, Surendra Balraadjsing, Wenhong Fan
92citations