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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Water quality prediction model using Gaussian process regression based on deep learning for carbon neutrality in papermaking wastewater treatment system
Xin Wan, Xiaoyong Li, Xinzhi Wang, et al.
Environmental Research (2022) Vol. 211, pp. 112942-112942
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials
Zeeshan Haider Jaffari, Heewon Jeong, Jaegwan Shin, et al.
Chemical Engineering Journal (2023) Vol. 466, pp. 143073-143073
Closed Access | Times Cited: 102
Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green
Zeeshan Haider Jaffari, Ather Abbas, Sze–Mun Lam, et al.
Journal of Hazardous Materials (2022) Vol. 442, pp. 130031-130031
Closed Access | Times Cited: 94
A novel learning approach for short-term photovoltaic power forecasting - A review and case studies
Khaled Ferkous, Mawloud Guermoui, Sarra Menakh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108502-108502
Closed Access | Times Cited: 25
Water quality prediction in the Yellow River source area based on the DeepTCN-GRU model
Qingqing Tian, Wei Luo, Lei Guo
Journal of Water Process Engineering (2024) Vol. 59, pp. 105052-105052
Closed Access | Times Cited: 21
Optimizing Membrane Bioreactor Performance in Wastewater Treatment Using Machine Learning and Meta-Heuristic Techniques
Usman M. Ismail, Khalid Bani‐Melhem, Muhammad Faizan Khan, et al.
Results in Engineering (2025), pp. 104626-104626
Open Access | Times Cited: 2
Dynamic optimization of wastewater treatment process based on novel multi-objective ant lion optimization and deep learning algorithm
Guoqiang Niu, Xiaoyong Li, Xin Wan, et al.
Journal of Cleaner Production (2022) Vol. 345, pp. 131140-131140
Closed Access | Times Cited: 47
A comparative study of data-driven models for runoff, sediment, and nitrate forecasting
Mohammad Zamani, Mohammad Reza Nikoo, Dana Rastad, et al.
Journal of Environmental Management (2023) Vol. 341, pp. 118006-118006
Closed Access | Times Cited: 34
Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model
Xiaohua Fu, Qingxing Zheng, Guomin Jiang, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 17, Iss. 8
Closed Access | Times Cited: 26
Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108690-108690
Open Access | Times Cited: 11
Wastewater recycling and groundwater sustainability through self-organizing map and style based generative adversarial networks
B Varasree, V Kavithamani, Prithvi Chandrakanth, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101092-101092
Closed Access | Times Cited: 9
An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers
Zahra Jamshidzadeh, Sarmad Dashti Latif, Mohammad Ehteram, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 8
Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts
Amir Dashti, Amir Hossein Navidpour, Farid Amirkhani, et al.
Chemosphere (2024) Vol. 362, pp. 142792-142792
Open Access | Times Cited: 8
Predicting water quality in municipal water management systems using a hybrid deep learning model
Wenxian Luo, Leijun Huang, Jiabin Shu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108420-108420
Closed Access | Times Cited: 6
Developing an evolving multi-layer perceptron network by genetic algorithm to predict full-scale ‎municipal ‎wastewater treatment plant effluent
Yousef Azimi, Mohammad Talaeian, Hamid Sarkheil, et al.
Journal of environmental chemical engineering (2022) Vol. 10, Iss. 5, pp. 108398-108398
Closed Access | Times Cited: 28
Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM
Ala Bouchehed, Fares Laouacheria, Salim Heddam, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 9, pp. 24751-24763
Closed Access | Times Cited: 13
Carbon accounting of A2O process based on carbon footprint in a full-scale municipal wastewater treatment plant
Yongmu Li, Hao Gu, Guangyu Zhao, et al.
Journal of Water Process Engineering (2023) Vol. 55, pp. 104162-104162
Closed Access | Times Cited: 13
Machine learning-powered estimation of malachite green photocatalytic degradation with NML-BiFeO3 composites
Iman Salahshoori, Amirhosein Yazdanbakhsh, Alireza Baghban
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Prediction performance and reliability evaluation of three ginsenosides in Panax ginseng using hyperspectral imaging combined with a novel ensemble chemometric model
Youyou Wang, Siman Wang, Ruibin Bai, et al.
Food Chemistry (2023) Vol. 430, pp. 136917-136917
Closed Access | Times Cited: 12
Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks
G. Baskar, A. Parameswaran, R. Sathyanathan
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Closed Access
Multi-Agent Large Language Model Frameworks: Unlocking New Possibilities for Optimizing Wastewater Treatment Operation
Samuel Rothfarb, Mikayla Friday, Xingyu Wang, et al.
Environmental Research (2025), pp. 121401-121401
Closed Access
WT-DSE-LSTM: A hybrid model for the multivariate prediction of dissolved oxygen
Xiao Xu, Guo Chen, Peng Wan, et al.
Alexandria Engineering Journal (2025) Vol. 124, pp. 285-296
Closed Access
Novel Sesbania wood-based activated carbon for paracetamol removal: integrating batch adsorption, fixed-bed studies, and machine learning
Basem Mohammed Al-howri, Suzylawati Ismail, Mohammad Khajavian, et al.
Biomass Conversion and Biorefinery (2025)
Closed Access
A review of the Applications, Benefits, and challenges of Generative AI for sustainable toxicology
Furqan Alam, Tahani Saleh Mohammed Alnazzawi, Rashid Mehmood, et al.
Current Research in Toxicology (2025), pp. 100232-100232
Open Access
Heavy metals prediction system in groundwater using online sensor and machine learning for water management: the case of typical industrial park
Jingsai Zhang, Yuzhi Xuan, Jing-Jing Lei, et al.
Environmental Pollution (2025) Vol. 374, pp. 126270-126270
Closed Access
DGPAEP-Net: Deep Gaussian process network with approximate expectation propagation for carbon emission prediction in municipal wastewater treatment processes
Yonglin Li, Yongmu Li, Kun Zheng, et al.
Digital engineering. (2025), pp. 100045-100045
Open Access
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