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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:

Deep learning based data-driven model for detecting time-delay water quality indicators of wastewater treatment plant influent
Yituo Zhang, Chaolin Li, Hengpan Duan, et al.
Chemical Engineering Journal (2023) Vol. 467, pp. 143483-143483
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

A multi-subsystem collaborative Bi-LSTM-based adaptive soft sensor for global prediction of ammonia-nitrogen concentration in wastewater treatment processes
Dong Li, Chunhua Yang, Yonggang Li
Water Research (2024) Vol. 254, pp. 121347-121347
Closed Access | Times Cited: 20
Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: A plant-level analysis
Maria Alice Prado Cechinel, Juliana Neves, João Vitor Rios Fuck, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104758-104758
Closed Access | Times Cited: 15
Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives
Abdul Gaffar Sheik, Arvind Kumar, Chandra Sainadh Srungavarapu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110132-110132
Open Access | Times Cited: 1
DNN model development of biogas production from an anaerobic wastewater treatment plant using Bayesian hyperparameter optimization
Hadjer Sadoune, Rachida Rihani, Francesco Saverio Marra
Chemical Engineering Journal (2023) Vol. 471, pp. 144671-144671
Closed Access | Times Cited: 26
A coupled model to improve river water quality prediction towards addressing non-stationarity and data limitation
Shengyue Chen, Jinliang Huang, Peng Wang, et al.
Water Research (2023) Vol. 248, pp. 120895-120895
Closed Access | Times Cited: 22
A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant
Yifan Xie, Y. Chen, Qing Wei, et al.
Water Research (2023) Vol. 250, pp. 121092-121092
Closed Access | Times Cited: 22
Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects
Xingyang Li, Jiming Su, Hui Wang, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 4, pp. 113152-113152
Closed Access | Times Cited: 13
Smarter water quality monitoring in reservoirs using interpretable deep learning models and feature importance analysis
Shabnam Majnooni, Mahmood Fooladi, Mohammad Reza Nikoo, et al.
Journal of Water Process Engineering (2024) Vol. 60, pp. 105187-105187
Closed Access | Times Cited: 12
Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis
Mahmood Fooladi, Mohammad Reza Nikoo, Rasoul Mirghafari, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121259-121259
Closed Access | Times Cited: 9
An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods
Yue Zheng, Jun Wei, Wenming Zhang, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121932-121932
Closed Access | Times Cited: 9
Machine learning-based prediction of biological oxygen demand and unit electricity consumption in different-scale wastewater treatment plants
Gang Ye, Jinquan Wan, Zhicheng Deng, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 111849-111849
Closed Access | Times Cited: 8
Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP
Ruojia Li, Kuanliang Feng, Tong An, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 4, pp. 1904-1915
Closed Access | Times Cited: 7
Deep learning in water protection of resources, environment, and ecology: achievement and challenges
Xiaohua Fu, Jie Jiang, Xie Wu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14503-14536
Closed Access | Times Cited: 6
Ensemble machine learning for interpretable soil heat flux estimation
James F. Cross, D. Drewry
Ecological Informatics (2024) Vol. 82, pp. 102697-102697
Open Access | Times Cited: 6
Predicting the spatio-temporal distribution of the droplets based on the machine learning algorithm
Jiyu Yao, Tiantian Wang, Lini Dong, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Data-driven prediction of effluent quality in wastewater treatment processes: Model performance optimization and missing-data handling
Zhicheng Deng, Jinquan Wan, Gang Ye, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107352-107352
Closed Access
Enhancing the effluent prediction accuracy with insufficient data based on transfer learning and LSTM algorithm in WWTPs
Yadan Yu, Yangwu Chen, Shunbo Huang, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105267-105267
Closed Access | Times Cited: 4
Enhancing Decision Making and Decarbonation in Environmental Management: A Review on the Role of Digital Technologies
Abdel‐Mohsen O. Mohamed, Dina Mohamed, Adham Fayad, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7156-7156
Open Access | Times Cited: 4
Attention-based Deep learning Models for Predicting Anomalous Shock of Wastewater Treatment Plants
Yituo Zhang, Jihong Wang, Chaolin Li, et al.
Water Research (2025) Vol. 275, pp. 123192-123192
Closed Access
Spatio-temporal analysis and prediction for raw water quality of drinking water source by improved RNN algorithm
Dongsheng Wang, Congcong Zhang, Ao Li, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107164-107164
Closed Access
Enhancing Water Quality Monitoring with Explainable AI and WGAN-Based Data Augmentation
Shofia Priyadharshini D., G. P. Ramesh
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Enhanced accuracy and interpretability of nitrous oxide emission prediction of wastewater treatment plants through machine learning of univariate time series: A novel approach of learning feature reconstruction
Zixuan Wang, Anlei Wei, K.S. Tang, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107263-107263
Closed Access
Prediction model for coal chemical wastewater quality after catalytic ozonation process treatment based on deep learning algorithm: Performance evaluation and model comparisons
Yihe Qin, Run Yuan, Xuewei Zhang, et al.
Process Safety and Environmental Protection (2025), pp. 107059-107059
Closed Access
A state-of-the-art review for the prediction of overflow in urban sewer systems
Shihui Ma, Tarek Zayed, Jiduo Xing, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139923-139923
Closed Access | Times Cited: 12
Integrating machine learning algorithm with sewer process model to realize swift prediction and real-time control of H2S pollution in sewer systems
Zhensheng Liang, Wenlang Xie, Li Hao, et al.
Water Research X (2024) Vol. 23, pp. 100230-100230
Open Access | Times Cited: 3
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