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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:

An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity
Hani Ghamkhar, Mohammadreza Jalili Ghazizadeh, Seyed Hossein Mohajeri, et al.
Sustainable Cities and Society (2023) Vol. 94, pp. 104516-104516
Closed Access | Times Cited: 14

Showing 14 citing articles:

Machine learning applications for anomaly detection in Smart Water Metering Networks: A systematic review
Maria Nelago Kanyama, Fungai Bhunu Shava, Attlee M. Gamundani, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103558-103558
Closed Access | Times Cited: 6
An enhanced method for automated end-use classification of household water data
Filippo Mazzoni, Mirjam Blokker, Stefano Alvisi, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 2, pp. 408-423
Open Access | Times Cited: 5
Robust adaptive optimization for sustainable water demand prediction in water distribution systems
Ke Wang, Jiayang Meng, Zhangquan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessing the Operating Condition of a Domestic Distribution System Based on the Power Spectra of High-Frequency Water Consumption Signals
Justyna Stańczyk, Klara Ramm, P. Licznar
Water Research (2025), pp. 123320-123320
Open Access
Online burst detection in water distribution networks based on dynamic shape similarity measure
Rita Leite, Conceição Amado, Margarida Azeitona
Expert Systems with Applications (2024) Vol. 248, pp. 123379-123379
Open Access | Times Cited: 4
An interpretable machine learning-based pitting corrosion depth prediction model for steel drinking water pipelines
Taehyeon Kim, Kibum Kim, Jinseok Hyung, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 571-585
Closed Access | Times Cited: 4
An Efficient Approach for Partitioning Water Distribution Networks Using Multi-Objective Optimization and Graph Theory
Mohammad Reza Shekofteh, Ehsan Yousefi-Khoshqalb, Kalyan R. Piratla
Water Resources Management (2023) Vol. 37, Iss. 13, pp. 5007-5022
Open Access | Times Cited: 11
Unsupervised Anomaly Detection for IoT-Driven Multivariate Time Series on Moringa Leaf Extraction
Kurnianingsih Kurnianingsih, Retno Widyowati, Achmad Fahrul Aji, et al.
International Journal of Automation Technology (2024) Vol. 18, Iss. 2, pp. 302-315
Open Access | Times Cited: 2
Advancing nodal leakage estimation in decentralized water networks: Integrating Bayesian optimization, realistic hydraulic modeling, and data-driven approaches
Amirali Pourahari, Ramin Amini, Ehsan Yousefi-Khoshqalb
Sustainable Cities and Society (2024) Vol. 112, pp. 105612-105612
Closed Access | Times Cited: 1
Advancing Nodal Leakage Estimation in Decentralized Water Networks: Integrating Bayesian Optimization, Realistic Hydraulic Modeling, and Data-Driven Approaches
Amirali Pourahari, Ramin Amini, Ehsan Yousefi-Khoshqalb
(2024)
Closed Access
Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils
Ram Proshad, S Asha, Rong Kun Jason Tan, et al.
Journal of Hazardous Materials (2024) Vol. 481, pp. 136536-136536
Closed Access
Real-Time Model Updating for Prediction and Assessment of Under-Construction Shield Tunnel Induced Ground Settlement in Complex Strata
Yangyang Chen, Wen Liu, Demi Ai, et al.
Journal of Computing in Civil Engineering (2024) Vol. 39, Iss. 2
Closed Access
Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle
Álvaro Michelena, Antonio Díaz-Longueira, Paulo Nováis, et al.
Neurocomputing (2024), pp. 129088-129088
Closed Access
Machine Learning Anomaly Detection Techniques Applicable to Smart Water Metering Networks: A Systematic Review
Maria Nelago Kanyama, Fungai Bhunu Shava, Attlee M. Gamundani, et al.
(2023)
Closed Access
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