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RESEARCH PAPER · Journal of environmental chemical engineering · 2024

Machine learning-based global trends and the development prospects of wastewater treatment: A bibliometric analysis

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Machine learning-based global trends and the development prospects of wastewater treatment: A bibliometric analysisOriginalArtificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis100Advances on hybrid modelling for bioprocesses engineering: Insights into research trends and future directions from a bibliometric approach14Short-term memory artificial neural network modelling to predict concrete corrosion in wastewater treatment plant inlet chambers using sulphide sensors4Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm10Machine Learning and Deep Learning Applied to Wastewater Treatment0Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review44Study on prediction models of oxygenated components content in biomass pyrolysis oil based on neural networks and random forests12Leveraging big data to elucidate the impact of heavy metal nanoparticles on anammox processes in wastewater treatment3DAC and bio-electrocatalytic systems for enhanced wastewater treatment with energy recovery: A machine learning study on KAN predictions and interpretability5Predictive hybrid modelling for municipal water and wastewater: A global framework demonstrated in Türkiye4Physics-constrained interpolation synergizes with machine learning for diethyl phthalate removal mechanism in water under sparse data0Rapid enrichment strategies for anaerobic ammonium oxidation (anammox) bacteria: A critical review5Hybrid application of response surface methodology (RSM) and machine learning for multi-objective optimization of heterogeneous electro-fenton process in pharmaceutical wastewater treatment7Deciphering the Role of Biochar on Ammonia Oxidation with Bicarbonate as an Electron Acceptor: Complete Nitrification of NH4+-N to NO3⁻-N Under Short-term Low-temperature Stress0The Development of Research on Machine Learning-Based Water Quality Index (WQI) Prediction: A Bibliometric Analysis0Machine learning-assisted quorum sensing molecules regulate growth progression and bioactivity of an oxygenic photobiofilm for non-aeration greywater purification0Measuring the Rheological, Textural, Geotechnical and Viscoelastic Behaviour of Dewatered Sludge: Including Adhesiveness and Cohesiveness0Machine-Learning-Assisted Auto-Fluorescence Cell-Sorting-Based Fast Differentiation and Quantification of Extracellular Polymeric Substances in the Microalgae and Bacteria Consortium0

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  1. Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis

    Case Studies in Chemical and Environmental Engineering · 2024-08-31

    Abdullah O. Baarimah, Mahmood A. Bazel, Wesam Salah Alaloul, Motasem Y.D. Alazaiza, Tharaa M. Al-Zghoul, Basheer Almuhaya, Arsalaan Khan Yousafzai, Ahmed Wajeh Mushtaha

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  2. Advances on hybrid modelling for bioprocesses engineering: Insights into research trends and future directions from a bibliometric approach

    Results in Engineering · 2024-11-26

    Juan Federico Herrera‐Ruiz, Javier Fontalvo, Oscar Andrés Prado‐Rubio

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  3. Short-term memory artificial neural network modelling to predict concrete corrosion in wastewater treatment plant inlet chambers using sulphide sensors

    Journal of Water Process Engineering · 2024-12-26

    J. Mendizabal, D. Vernon, Ben Martin, Yadira Bajón-Fernández, Ana Soares

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  4. Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm

    Bioresource Technology · 2024-12-28

    Libo Xia, Beibei Wu, Xiaocai Cui, Ting Ran, Qian Li, Yun Zhou

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  5. Machine Learning and Deep Learning Applied to Wastewater Treatment

    Water science and technology library · 2025-01-01

    Nicolas Spogis, Juliana Neves, Sérgio Leonardo Butski Soares Santos, Natan Padoin, Cíntia Soares

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  6. Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review

    ACS ES&T Water · 2025-01-07

    Wenqi Yang, Haiyan Li

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  7. Study on prediction models of oxygenated components content in biomass pyrolysis oil based on neural networks and random forests

    Biomass and Bioenergy · 2025-01-07

    Yuqian Zou, Hong Tian, Zhangjun Huang, Lei Liu, Yanni Xuan, Jingchao Dai, Liubao Nie

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  8. Leveraging big data to elucidate the impact of heavy metal nanoparticles on anammox processes in wastewater treatment

    Journal of Environmental Management · 2025-04-16

    Yiqun Hong, Zhenguo Chen, Zehua Huang, Zehua Huang, Chunying Zheng, Junxing Liu, Chenxi Zeng, Xiangfa Kong, Chao Zhang, Mingzhi Huang

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  9. DAC and bio-electrocatalytic systems for enhanced wastewater treatment with energy recovery: A machine learning study on KAN predictions and interpretability

    Journal of environmental chemical engineering · 2025-08-27

    Qiyang Cheng, Xiangyu Kong, Xinrui Yu, Lifen Liu

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  10. Predictive hybrid modelling for municipal water and wastewater: A global framework demonstrated in Türkiye

    Cleaner Water · 2025-08-28

    Mehmet Melikoğlu

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  11. Physics-constrained interpolation synergizes with machine learning for diethyl phthalate removal mechanism in water under sparse data

    Journal of environmental chemical engineering · 2025-10-07

    Dongmei Bi, Hui Wang, Shuangshuang Yan, Chengxizi Zhang, Jiawen Zhang, Shanjian Liu, Weiming Yi

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  12. Rapid enrichment strategies for anaerobic ammonium oxidation (anammox) bacteria: A critical review

    Process Safety and Environmental Protection · 2025-11-04

    Haowen Yan, Guiquan Du, Faqian Sun, Mabruk Adams, Chongjun Chen

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  13. Hybrid application of response surface methodology (RSM) and machine learning for multi-objective optimization of heterogeneous electro-fenton process in pharmaceutical wastewater treatment

    Results in Engineering · 2026-02-28

    Soran Ezati, Hossein Ganjidoust, Bita Ayati

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  14. Deciphering the Role of Biochar on Ammonia Oxidation with Bicarbonate as an Electron Acceptor: Complete Nitrification of NH4+-N to NO3⁻-N Under Short-term Low-temperature Stress

    Water Air & Soil Pollution · 2026-03-09

    Ruilin Wang, Jingang Huang, Jingya Liu, Huanxuan Li, Rongbing Zhou, Wei Han, Xiang Xu, Xiaoping Fu, Haibo Wang

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  15. The Development of Research on Machine Learning-Based Water Quality Index (WQI) Prediction: A Bibliometric Analysis

    Journal of Anatolian Environmental and Animal Sciences · 2026-03-19

    Selda Palabıyık

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  16. Machine learning-assisted quorum sensing molecules regulate growth progression and bioactivity of an oxygenic photobiofilm for non-aeration greywater purification

    Bioresource Technology · 2026-08-02

    Beibei Wu, Libo Xia, Qian Li, Xiaocai Cui, Ting Ran, Yangrui Huang, Yun Zhou

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  17. Measuring the Rheological, Textural, Geotechnical and Viscoelastic Behaviour of Dewatered Sludge: Including Adhesiveness and Cohesiveness

    Adhesives · 2026-08-04

    Sergio Luis Parra-Angarita, Juan Federico Herrera‐Ruiz, Guillermo H. Gaviria, Angélique Léonard

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  18. Machine-Learning-Assisted Auto-Fluorescence Cell-Sorting-Based Fast Differentiation and Quantification of Extracellular Polymeric Substances in the Microalgae and Bacteria Consortium

    Environmental Science & Technology · 2026-08-21

    Libo Xia, Xiaocai Cui, Tian Ren, Ting Ran, Lingfang Huang, Beibei Wu, Peng Cai, Yun Zhou

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