Research graph
References from Machine learning and AI approaches for predicting microplastics levels in water systems resulting from anthropogenic activities. Local targets link to admitted publications; unresolved targets remain external evidence.
Atmospheric transport and deposition of microplastics in a remote mountain catchment
10.1038/s41561-019-0335-5 · 2019 · External reference
The plastic in microplastics: A review
10.1016/j.marpolbul.2017.01.082 · 2017 · External reference
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
10.1016/j.watres.2018.05.060 · 2018 · External reference
Multiple imputation by chained equations: What is it and how does it work?
10.1002/mpr.329 · 2011 · External reference
Microplastic contamination in freshwater environments: A review, focusing on interactions with sediments and benthic organisms
10.3390/environments7040030 · 2020 · External reference
The effect of microplastic on the uptake of chemicals by the Lugworm Arenicola marina (L.) under environmentally relevant exposure conditions
10.1021/acs.est.7b02286 · 2017 · External reference
Effects of microplastic on fitness and PCB bioaccumulation by the lugworm Arenicola marina (L.)
10.1021/es302763x · 2013 · External reference
Facets of uncertainty: Epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication
10.1080/02626667.2015.1031761 · 2016 · External reference
Microplastics in our waters: Insights from a configurative systematic review of water bodies and drinking water sources
10.3390/microplastics4020024 · 2025 · External reference
Deep-learning enabled rapid and low-cost detection of microplastics in consumer products following on-site extraction and image processing
10.1039/d4ra07991d · 2025 · External reference
An analysis of transformations
10.1111/j.2517-6161.1964.tb00553.x · 1964 · External reference
Plastic rain in protected areas of the United States
10.1126/science.aaz5819 · 2020 · External reference
Deep learning for reconstructing low-quality FTIR and Raman spectra─a case study in microplastic analyses
10.1021/acs.analchem.1c02618 · 2021 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Unresolved reference
2014 · External reference
Hydrology modulates the microplastics composition and transport flux across the river–sea interface in Zhanjiang Bay, China
10.3390/jmse13030428 · 2025 · External reference
Microplastic ingestion by Zooplankton
10.1021/es400663f · 2013 · External reference
Reporting guidelines to increase the reproducibility and comparability of research on microplastics
10.1177/0003702820930292 · 2020 · External reference
Critical review of processing and classification techniques for images and spectra in microplastic research
10.1177/0003702820929064 · 2020 · External reference
Are we underestimating the driving factors and potential risks of freshwater microplastics from in situ and in silico perspective?
10.1016/j.watres.2025.123568 · 2025 · External reference
Microplastic accumulation in riverbed sediment via hyporheic exchange from headwaters to mainstems
10.1126/sciadv.abi9305 · 2022 · External reference
Rank issues
2009 · External reference
All models are wrong, but many are useful: Learning a variable's importance by studying an entire class of prediction models simultaneously
2019 · External reference
Greedy function approximation: A gradient boosting machine
2001 · External reference
Unresolved reference
2016 · External reference
Rapid detection of microfibres in environmental samples using open-source visual recognition models
10.1016/j.jhazmat.2024.135956 · 2024 · External reference
Unresolved reference
2020 · External reference
Current opinion: What is a nanoplastic?
10.1016/j.envpol.2018.01.024 · 2018 · External reference
Patterns and trends in marine microplastics density distributions using a long-term, global, field database
10.1016/j.marpolbul.2025.117528 · 2025 · External reference
The influence of flow on the amount, retention and loss of plastic pollution in an urban river
2025 · External reference
Are we speaking the same language? Recommendations for a definition and categorization framework for plastic debris
10.1021/acs.est.8b05297 · 2019 · External reference
Unresolved reference
2012 · External reference
Microplastics in the marine environment: A review of the methods used for identification and quantification
10.1021/es2031505 · 2012 · External reference
Anthropogenic litter in urban freshwater ecosystems: Distribution and microbial interactions
10.1371/journal.pone.0098485 · 2014 · External reference
Plastic litter is a part of the carbon cycle in an urban river: Microplastic and macroplastic accumulate with organic matter in floating debris rafts
10.1002/wer.11116 · 2024 · External reference
Global plastic footprint: Unveiling property trends, environmental fate, and emerging threats of microplastic and nanoplastics pollution across ecosystems
10.1007/s40974-025-00383-7 · 2025 · External reference
Spatiotemporal graph neural networks for analyzing the influence mechanisms of river hydrodynamics on microplastic transport processes
2025 · External reference
Fate and occurrence of micro(nano)plastics in soils: Knowledge gaps and possible risks
10.1016/j.coesh.2017.10.006 · 2018 · External reference
Ingestion of microplastics by freshwater Tubifex worms
10.1021/acs.est.7b03567 · 2017 · External reference
Unresolved reference
2021 · External reference
Microplastic predictive modelling with the integration of artificial neural networks and hidden Markov models (ANN-HMM)
10.1007/s40201-024-00920-2 · 2024 · External reference
Understanding the transportation of plastic pollution to different environmental compartments and human
10.1002/ldr.70351 · 2025 · External reference
Nanoplastics in the aquatic environment. Critical review
2015 · External reference
Solving the nonalignment of methods and approaches used in microplastic research to consistently characterize risk
10.1021/acs.est.0c02982 · 2020 · External reference
Ups and downs in the ocean: Effects of biofouling on vertical transport of microplastics
10.1021/acs.est.6b04702 · 2017 · External reference
Sinking rates of microplastics and potential implications of their alteration by physical, biological, and chemical factors
10.1016/j.marpolbul.2016.05.064 · 2016 · External reference
Intercomparison study on commonly used methods to determine microplastics in wastewater and sludge samples
10.1007/s11356-019-04584-6 · 2019 · External reference
River plastic emissions to the world's oceans
10.1038/ncomms15611 · 2017 · External reference
Microplastics in freshwater systems: A review on occurrence, environmental effects, and methods for microplastics detection
10.1016/j.watres.2017.12.056 · 2018 · External reference
Unresolved reference
2019 · External reference
Interactions between microplastics and phytoplankton aggregates: Impact on their respective fates
10.1016/j.marchem.2015.04.003 · 2015 · External reference
Preventing microplastic pollution in surface waters: Legal frameworks and strategic actions
10.1002/tqem.70116 · 2025 · External reference
More than 1000 rivers account for 80% of global riverine plastic emissions into the ocean
10.1126/sciadv.aaz5803 · 2021 · External reference
Quantile regression forests
2006 · External reference
Predicting microplastic masses in river networks with high spatial resolution at country level
10.1038/s44221-023-00090-9 · 2023 · External reference
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
10.1016/j.envsoft.2017.12.001 · 2018 · External reference
Unresolved reference
2020 · External reference
Plastics and the environment
10.1146/annurev-environ-112522-072642 · 2023 · External reference
Are agricultural soils dumps for microplastics of urban origin?
10.1021/acs.est.6b04140 · 2016 · External reference
Automated μFTIR imaging demonstrates taxon-specific and selective uptake of microplastic by freshwater invertebrates
10.1021/acs.est.1c03119 · 2021 · External reference
Comparison of historical (1980s) and contemporary (2023–2024) microplastic contamination of arc clams (Anadara spp.) from tidal flats in Suva, Fiji
10.1016/j.marpolbul.2025.118401 · 2025 · External reference
Comparison of pyrolysis gas chromatography/mass spectrometry and hyperspectral FTIR imaging spectroscopy for the analysis of microplastics
10.1007/s00216-020-02979-w · 2020 · External reference
Reference database design for the automated analysis of microplastic samples based on Fourier transform infrared (FTIR) spectroscopy
10.1007/s00216-018-1156-x · 2018 · External reference
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
10.1016/j.jcp.2018.10.045 · 2019 · External reference
Deep learning and process understanding for data-driven Earth system science
10.1038/s41586-019-0912-1 · 2019 · External reference
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
10.1111/ecog.02881 · 2017 · External reference
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
10.1371/journal.pone.0118432 · 2015 · External reference
A tutorial on conformal prediction
2008 · External reference
Efficient prediction of microplastic counts from mass measurements
10.1021/acsestwater.1c00316 · 2022 · External reference
Research trends in microplastic contamination of bivalves across Southeast Asia: A comprehensive review on patterns, challenges and future directions
2025 · External reference
The physical oceanography of the transport of floating marine debris
10.1088/1748-9326/ab6d7d · 2020 · External reference
A global inventory of small floating plastic debris
10.1088/1748-9326/10/12/124006 · 2015 · External reference
Cross-validation failure: Small sample sizes lead to large error bars
10.1016/j.neuroimage.2017.06.061 · 2018 · External reference
Microplastics in freshwater ecosystems: What we know and what we need to know
10.1186/s12302-014-0012-7 · 2014 · External reference
Effects of particle properties on the settling and rise velocities of microplastics in freshwater under laboratory conditions
10.1021/acs.est.8b06794 · 2019 · External reference
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
10.3354/cr030079 · 2005 · External reference
A bibliometric analysis of microplastic pollution in aquatic environments from 2013 to 2023
10.1186/s42834-025-00257-x · 2025 · External reference
Life in the “Plastisphere”: Microbial communities on plastic marine debris
10.1021/es401288x · 2013 · External reference
Understanding the transportation of plastic pollution to different environmental compartments and human
10.1002/ldr.70351 · ExternalCitation · doi-reference
Multiple imputation by chained equations: What is it and how does it work?
10.1002/mpr.329 · ExternalCitation · doi-reference
Preventing microplastic pollution in surface waters: Legal frameworks and strategic actions
10.1002/tqem.70116 · ExternalCitation · doi-reference
Plastic litter is a part of the carbon cycle in an urban river: Microplastic and macroplastic accumulate with organic matter in floating debris rafts
10.1002/wer.11116 · ExternalCitation · doi-reference
Reference database design for the automated analysis of microplastic samples based on Fourier transform infrared (FTIR) spectroscopy
10.1007/s00216-018-1156-x · ExternalCitation · doi-reference
Comparison of pyrolysis gas chromatography/mass spectrometry and hyperspectral FTIR imaging spectroscopy for the analysis of microplastics
10.1007/s00216-020-02979-w · ExternalCitation · doi-reference
Intercomparison study on commonly used methods to determine microplastics in wastewater and sludge samples
10.1007/s11356-019-04584-6 · ExternalCitation · doi-reference
Microplastic predictive modelling with the integration of artificial neural networks and hidden Markov models (ANN-HMM)
10.1007/s40201-024-00920-2 · ExternalCitation · doi-reference
Global plastic footprint: Unveiling property trends, environmental fate, and emerging threats of microplastic and nanoplastics pollution across ecosystems
10.1007/s40974-025-00383-7 · ExternalCitation · doi-reference
Fate and occurrence of micro(nano)plastics in soils: Knowledge gaps and possible risks
10.1016/j.coesh.2017.10.006 · ExternalCitation · doi-reference
Current opinion: What is a nanoplastic?
10.1016/j.envpol.2018.01.024 · ExternalCitation · doi-reference
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
10.1016/j.envsoft.2017.12.001 · ExternalCitation · doi-reference
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
10.1016/j.jcp.2018.10.045 · ExternalCitation · doi-reference
Rapid detection of microfibres in environmental samples using open-source visual recognition models
10.1016/j.jhazmat.2024.135956 · ExternalCitation · doi-reference
Interactions between microplastics and phytoplankton aggregates: Impact on their respective fates
10.1016/j.marchem.2015.04.003 · ExternalCitation · doi-reference
Sinking rates of microplastics and potential implications of their alteration by physical, biological, and chemical factors
10.1016/j.marpolbul.2016.05.064 · ExternalCitation · doi-reference
The plastic in microplastics: A review
10.1016/j.marpolbul.2017.01.082 · ExternalCitation · doi-reference
Patterns and trends in marine microplastics density distributions using a long-term, global, field database
10.1016/j.marpolbul.2025.117528 · ExternalCitation · doi-reference
Comparison of historical (1980s) and contemporary (2023–2024) microplastic contamination of arc clams (Anadara spp.) from tidal flats in Suva, Fiji
10.1016/j.marpolbul.2025.118401 · ExternalCitation · doi-reference
Cross-validation failure: Small sample sizes lead to large error bars
10.1016/j.neuroimage.2017.06.061 · ExternalCitation · doi-reference
Microplastics in freshwater systems: A review on occurrence, environmental effects, and methods for microplastics detection
10.1016/j.watres.2017.12.056 · ExternalCitation · doi-reference
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
10.1016/j.watres.2018.05.060 · ExternalCitation · doi-reference
Are we underestimating the driving factors and potential risks of freshwater microplastics from in situ and in silico perspective?
10.1016/j.watres.2025.123568 · ExternalCitation · doi-reference
Deep learning for reconstructing low-quality FTIR and Raman spectra─a case study in microplastic analyses
10.1021/acs.analchem.1c02618 · ExternalCitation · doi-reference
Solving the nonalignment of methods and approaches used in microplastic research to consistently characterize risk
10.1021/acs.est.0c02982 · ExternalCitation · doi-reference
Automated μFTIR imaging demonstrates taxon-specific and selective uptake of microplastic by freshwater invertebrates
10.1021/acs.est.1c03119 · ExternalCitation · doi-reference
Are agricultural soils dumps for microplastics of urban origin?
10.1021/acs.est.6b04140 · ExternalCitation · doi-reference
Ups and downs in the ocean: Effects of biofouling on vertical transport of microplastics
10.1021/acs.est.6b04702 · ExternalCitation · doi-reference
The effect of microplastic on the uptake of chemicals by the Lugworm Arenicola marina (L.) under environmentally relevant exposure conditions
10.1021/acs.est.7b02286 · ExternalCitation · doi-reference
Ingestion of microplastics by freshwater Tubifex worms
10.1021/acs.est.7b03567 · ExternalCitation · doi-reference
Are we speaking the same language? Recommendations for a definition and categorization framework for plastic debris
10.1021/acs.est.8b05297 · ExternalCitation · doi-reference
Effects of particle properties on the settling and rise velocities of microplastics in freshwater under laboratory conditions
10.1021/acs.est.8b06794 · ExternalCitation · doi-reference
Efficient prediction of microplastic counts from mass measurements
10.1021/acsestwater.1c00316 · ExternalCitation · doi-reference
Microplastics in the marine environment: A review of the methods used for identification and quantification
10.1021/es2031505 · ExternalCitation · doi-reference
Effects of microplastic on fitness and PCB bioaccumulation by the lugworm Arenicola marina (L.)
10.1021/es302763x · ExternalCitation · doi-reference
Microplastic ingestion by Zooplankton
10.1021/es400663f · ExternalCitation · doi-reference
Life in the “Plastisphere”: Microbial communities on plastic marine debris
10.1021/es401288x · ExternalCitation · doi-reference
Random forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
River plastic emissions to the world's oceans
10.1038/ncomms15611 · ExternalCitation · doi-reference
Atmospheric transport and deposition of microplastics in a remote mountain catchment
10.1038/s41561-019-0335-5 · ExternalCitation · doi-reference
Deep learning and process understanding for data-driven Earth system science
10.1038/s41586-019-0912-1 · ExternalCitation · doi-reference
Predicting microplastic masses in river networks with high spatial resolution at country level
10.1038/s44221-023-00090-9 · ExternalCitation · doi-reference
Deep-learning enabled rapid and low-cost detection of microplastics in consumer products following on-site extraction and image processing
10.1039/d4ra07991d · ExternalCitation · doi-reference
Facets of uncertainty: Epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication
10.1080/02626667.2015.1031761 · ExternalCitation · doi-reference
A global inventory of small floating plastic debris
10.1088/1748-9326/10/12/124006 · ExternalCitation · doi-reference
The physical oceanography of the transport of floating marine debris
10.1088/1748-9326/ab6d7d · ExternalCitation · doi-reference
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
10.1111/ecog.02881 · ExternalCitation · doi-reference
An analysis of transformations
10.1111/j.2517-6161.1964.tb00553.x · ExternalCitation · doi-reference
More than 1000 rivers account for 80% of global riverine plastic emissions into the ocean
10.1126/sciadv.aaz5803 · ExternalCitation · doi-reference
Microplastic accumulation in riverbed sediment via hyporheic exchange from headwaters to mainstems
10.1126/sciadv.abi9305 · ExternalCitation · doi-reference
Plastic rain in protected areas of the United States
10.1126/science.aaz5819 · ExternalCitation · doi-reference
Plastics and the environment
10.1146/annurev-environ-112522-072642 · ExternalCitation · doi-reference
Critical review of processing and classification techniques for images and spectra in microplastic research
10.1177/0003702820929064 · ExternalCitation · doi-reference
Reporting guidelines to increase the reproducibility and comparability of research on microplastics
10.1177/0003702820930292 · ExternalCitation · doi-reference
Microplastics in freshwater ecosystems: What we know and what we need to know
10.1186/s12302-014-0012-7 · ExternalCitation · doi-reference
A bibliometric analysis of microplastic pollution in aquatic environments from 2013 to 2023
10.1186/s42834-025-00257-x · ExternalCitation · doi-reference
Anthropogenic litter in urban freshwater ecosystems: Distribution and microbial interactions
10.1371/journal.pone.0098485 · ExternalCitation · doi-reference
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
10.1371/journal.pone.0118432 · ExternalCitation · doi-reference
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
10.3354/cr030079 · ExternalCitation · doi-reference
Microplastic contamination in freshwater environments: A review, focusing on interactions with sediments and benthic organisms
10.3390/environments7040030 · ExternalCitation · doi-reference
Hydrology modulates the microplastics composition and transport flux across the river–sea interface in Zhanjiang Bay, China
10.3390/jmse13030428 · ExternalCitation · doi-reference
Microplastics in our waters: Insights from a configurative systematic review of water bodies and drinking water sources
10.3390/microplastics4020024 · ExternalCitation · doi-reference
