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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:

Transforming data into actionable knowledge for fault detection, diagnosis and prognosis in urban wastewater systems with AI techniques: A mini-review
Yiqi Liu, Pedram Ramin, Xavier Flores‐Alsina, et al.
Process Safety and Environmental Protection (2023) Vol. 172, pp. 501-512
Closed Access | Times Cited: 46

Showing 1-25 of 46 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
Predicting the ammonia nitrogen of wastewater treatment plant influent via integrated model based on rolling decomposition method and deep learning algorithm
Kefen Yan, Chaolin Li, Ruobin Zhao, et al.
Sustainable Cities and Society (2023) Vol. 94, pp. 104541-104541
Closed Access | Times Cited: 27
Fault detection using machine learning based dynamic ICA-distributed CCA: Application to industrial chemical process
Husnain Ali, Zheng Zhang, Rizwan Safdar, et al.
Digital Chemical Engineering (2024) Vol. 11, pp. 100156-100156
Open Access | Times Cited: 12
Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review
Voravich Ganthavee, Antoine P. Trzcinski
Environmental Chemistry Letters (2024) Vol. 22, Iss. 5, pp. 2293-2318
Open Access | Times Cited: 10
Digitalization of Phosphorous Removal Process in Biological Wastewater Treatment Systems: Challenges, and Way Forward
Abdul Gaffar Sheik, Suresh Babu Naidu Krishna, Reeza Patnaik, et al.
Environmental Research (2024) Vol. 252, pp. 119133-119133
Open Access | Times Cited: 8
Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
Mudita Nagpal, Miran Ahmad Siddique, Khushi Sharma, et al.
Water Science & Technology (2024) Vol. 90, Iss. 3, pp. 731-757
Closed Access | Times Cited: 8
Data-driven fault detection and diagnosis methods in wastewater treatment systems: A comprehensive review
Xinyuan Wang, Wenguang Wei, ChangKyoo Yoo, et al.
Environmental Research (2025) Vol. 268, pp. 120822-120822
Closed Access | Times Cited: 1
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
LSTM-based autoencoder models for real-time quality control of wastewater treatment sensor data
Siddharth Seshan, D. de Vries, Jasper N. Immink, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 2, pp. 441-458
Open Access | Times Cited: 7
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
Artificial intelligence driven advances in wastewater treatment: Evaluating techniques for sustainability and efficacy in global facilities
Dhanyashree Narayanan, Manish Bhat, Norottom Paul, et al.
Desalination and Water Treatment (2024) Vol. 320, pp. 100618-100618
Open Access | Times Cited: 6
Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications
J. Drisya, Adel Bouhoula, Waleed Al-Zubari
Water (2024) Vol. 16, Iss. 22, pp. 3328-3328
Open Access | Times Cited: 6
An Ensemble Collaborative Preserving Projection Model for Industrial Process Monitoring
Zhenbang Wang, Jian Zheng
Process Safety and Environmental Protection (2025), pp. 106834-106834
Closed Access
Navigating future wastewater treatment plants with artificial intelligence: Applications, challenges, and innovations
Xingyu Chen, Zhongfang Lei, Jo‐Shu Chang, et al.
Journal of Cleaner Production (2025), pp. 145467-145467
Closed Access
Machine learning-based design and monitoring of algae blooms: Recent trends and future perspectives – A short review
Abdul Gaffar Sheik, Arvind Kumar, Reeza Patnaik, et al.
Critical Reviews in Environmental Science and Technology (2023) Vol. 54, Iss. 7, pp. 509-532
Closed Access | Times Cited: 11
Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description
Tian‐Sheuan Chang, Tianlong Liu, Xiaobo Ma, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 35, pp. 15562-15574
Closed Access | Times Cited: 4
Prediction of wastewater quality parameters using adaptive and machine learning models: A South African case study
Abdul Gaffar Sheik, Muneer Ahmad Malla, Chandra Sainadh Srungavarapu, et al.
Journal of Water Process Engineering (2024) Vol. 67, pp. 106185-106185
Open Access | Times Cited: 4
Fault detection and diagnosis of the wastewater nitrate and nitrite sensors using PCA and FDA combined with assessment of the economic and environmental impact of the faults
Alexandra-Veronica Luca, Melinda Simon-Várhelyi, Norbert-Botond Mihály, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 1
Open Access
Digital Twin-Based Management of Sewer Systems: Research Strategy for KaSyTwin Project
Sabine Hartmann, R. Valles, Annette Schmitt, et al.
Water (2025) Vol. 17, Iss. 3, pp. 299-299
Open Access
A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
Jingxin ZHAO, Wenming Wang, Ji Huang, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Machine learning in wastewater: opportunities and challenges — “not everything is a nail!”
Peter A. Vanrolleghem, Mostafa Khalil, M. G. Serrão, et al.
Current Opinion in Biotechnology (2025) Vol. 93, pp. 103271-103271
Open Access
Transformative Intelligence
Marco Antonio Márquez-Vera, María Fernanda Ávila-Díaz, Andrea Guadalupe Noriega-Sánchez, et al.
Advances in computational intelligence and robotics book series (2025), pp. 323-338
Closed Access
Fault Root Cause Analysis Using Degree of Change and Mean Variable Threshold Limit in Non-Linear Dynamic Distillation Column
Muhammad Shahid, Haslinda Zabiri, Syed Ali Ammar Taqvi, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 856-866
Closed Access | Times Cited: 3
An enhanced temporal algorithm- coupled optimized adaptive sparse principal component analysis methodology for fault diagnosis of chemical processes
Jiaxin Zhang, Yiyang Dai, Zemin Feng, et al.
Process Safety and Environmental Protection (2023) Vol. 174, pp. 663-680
Closed Access | Times Cited: 8
Variance-capturing forward-forward autoencoder (VFFAE): A forward learning neural network for fault detection and isolation of process data
Deepak Kumar, Umang Goswami, Hariprasad Kodamana, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 176-194
Closed Access | Times Cited: 8
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