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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:

Development of local and global wastewater biochemical oxygen demand real-time prediction models using supervised machine learning algorithms
Abdulaziz Sami Qambar, Mohammed Majid M. Al-Khalidy
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105709-105709
Open Access | Times Cited: 18

Showing 18 citing articles:

Calculation of carbon emissions in wastewater treatment and its neutralization measures: A review
Zhixin Liu, Ziyi Xu, Xiaolei Zhu, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169356-169356
Closed Access | Times Cited: 75
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
Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, Pushpa Tuppad
Results in Engineering (2025), pp. 104158-104158
Open Access | Times Cited: 1
Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm
D. H. S. Ramkumar, V. Jothiprakash
Journal of Water Process Engineering (2024) Vol. 61, pp. 105306-105306
Closed Access | Times Cited: 6
Machine learning screening tools for the prediction of extraction yields of pharmaceutical compounds from wastewaters
Ana Casas, Diego Rodríguez-Llorente, Guillermo Rodríguez-Llorente, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105379-105379
Open Access | Times Cited: 6
Forecasting biochemical oxygen demand (BOD) in River Ganga: a case study employing supervised machine learning and ANN techniques
Rohan Mishra, Rupanjali Singh, C. B. Majumder
Sustainable Water Resources Management (2025) Vol. 11, Iss. 1
Closed Access
A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant
Shitao Zhang, Jiafei Cao, Yang Gao, et al.
Toxics (2025) Vol. 13, Iss. 5, pp. 349-349
Open Access
Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithm
Hayat Mekaoussi, Salim Heddam, Nouri Bouslimanni, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21351-e21351
Open Access | Times Cited: 10
Bio-communal wastewater treatment plant real-time modeling using an intelligent meta-heuristic approach: A sustainable and green ecosystem
Sani I. Abba, Huseyin Cagan KILINC, Mou Leong Tan, et al.
Journal of Water Process Engineering (2023) Vol. 53, pp. 103731-103731
Closed Access | Times Cited: 9
Application of Reinforcement Learning to Dyeing Processes for Residual Dye Reduction
Whan Lee, Seyed Mohammad Mehdi Sajadieh, Hye Kyung Choi, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 11, Iss. 3, pp. 743-763
Closed Access | Times Cited: 3
A Survey of Machine and Deep Learning Applications in the Assessment of Water Quality
Mourade Azrour, Souhayla Dargaoui, Jamal Mabrouki, et al.
World sustainability series (2024), pp. 471-483
Closed Access | Times Cited: 3
Biological oxygen demand prediction using artificial neural network and random forest models enhanced by the neural architecture search algorithm
Amel Fouchal, Yazid Tikhamarine, Mohammed Amin‎ Benbouras, et al.
Modeling Earth Systems and Environment (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 2
Predicting Microbiologically Influenced Concrete Corrosion in Self-cleansing Sewers using Meta-learning Techniques
Mohammad Zounemat‐Kermani, Ammar Aldallal
CORROSION (2024) Vol. 80, Iss. 4, pp. 338-348
Closed Access | Times Cited: 1
تأثير نسب التلوث على نموذج الطلب البايولوجي للاوكسجين في الدفعات المائية
محمود ابو الشعير, نزار الصراف, وليد ارحيمه
Journal of Al-Rafidain University College For Sciences ( Print ISSN 1681-6870 Online ISSN 2790-2293 ) (2024), Iss. 1, pp. 185-192
Closed Access
Ensemble Regression Tree with Bayesian Optimization for Prediction of Biochemical Oxygen Demand and Climate Impact Assessment in Full Scale Waste Water Treatment Plant
Sara Abdelghafar, Ashraf Darwish, Aboul Ella Hassanien
Studies in systems, decision and control (2024), pp. 313-327
Closed Access
Predictive Modeling and Machine Learning for Optimal Wastewater Treatment Performance
Salim Heddam
Springer water (2024), pp. 265-281
Closed Access
Introduction to Artificial Intelligence in Optimization of Wastewater Treatment Processes
Shubo Zhang, Jinfeng Wang, Hongqiang Ren
Springer water (2024), pp. 29-52
Closed Access
Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks
S Ramya, S Srinath, Pushpa Tuppad
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access
Graphical Deep Learning Prediction Model for Stock Risk Management
Haewon Byeon, Shyamsunder Chitta, Shavkatov Navruzbek Shavkatovich, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access
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