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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:

Leak detection in real water distribution networks based on acoustic emission and machine learning
Ali Fares, I. A. Tijani, Zhang Rui, et al.
Environmental Technology (2022) Vol. 44, Iss. 25, pp. 3850-3866
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning
Yubo Bi, Qiulan Wu, Shilu Wang, et al.
Energy (2023) Vol. 284, pp. 129361-129361
Closed Access | Times Cited: 32
Advanced acoustic leak detection in water distribution networks using integrated generative model
Rongsheng Liu, Tarek Zayed, Rui Xiao
Water Research (2024) Vol. 254, pp. 121434-121434
Closed Access | Times Cited: 15
Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective
Yipeng Wu, Xingke Ma, Guancheng Guo, et al.
Water Research (2024) Vol. 261, pp. 121999-121999
Closed Access | Times Cited: 14
Feature selection of acoustic signals for leak detection in water pipelines
Ziyang Xu, Haixing Liu, Guangtao Fu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105945-105945
Closed Access | Times Cited: 10
Application of machine learning to leakage detection of fluid pipelines in recent years: A review and prospect
Jianwu Chen, Xiao Wu, Zhibo Jiang, et al.
Measurement (2025), pp. 116857-116857
Closed Access | Times Cited: 1
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
Acoustic localization approach for urban water distribution networks using machine learning method
Rui Zhang, Abdul‐Mugis Yussif, I. A. Tijani, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109062-109062
Closed Access | Times Cited: 4
Django-based framework database for leakage detection using machine learning for water distribution networks
Yiwei Xie, M. Gao, Fan Luo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110525-110525
Closed Access
Leak detection in water supply networks using two-stage temporal segmentation and incremental learning for non-stationary acoustic signals
Xingke Ma, Yipeng Wu, Guancheng Guo, et al.
Water Research X (2025), pp. 100333-100333
Open Access
Optimización inteligente de la infraestructura hídrica rural con big data y predicción: Evidencias para Latinoamérica
Javier Noriega-Murrieta
Revista Cientifica de Sistemas e Informatica (2025) Vol. 5, Iss. 1, pp. e762-e762
Open Access
Enhanced semi-supervised model for acoustic leak detection in water distribution networks
Changjiang Wang, Wei Qian, Shuanglin Shen, et al.
Automation in Construction (2025) Vol. 175, pp. 106228-106228
Closed Access
Acoustic Identification of Water Supply Pipe Leakage Based on Bispectrum Analysis
Zi‐Ming Feng, Zhihong Long, Liyun Peng, et al.
Journal of Pipeline Systems Engineering and Practice (2025) Vol. 16, Iss. 3
Closed Access
Water Flow Modeling and Forecast in a Water Branch of Mexico City through ARIMA and Transfer Function Models for Anomaly Detection
David Barrientos, Erick Axel Martinez-Ríos, Sergio A. Navarro-Tuch, et al.
Water (2023) Vol. 15, Iss. 15, pp. 2792-2792
Open Access | Times Cited: 8
An Improved Convolutional Neural Network for Pipe Leakage Identification Based on Acoustic Emission
Weidong Xu, Jiwei Huang, Lianghui Sun, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1720-1720
Open Access | Times Cited: 3
State‐of‐the‐art review of leak diagnostic experiments: Toward a smart water network
Beenish Bakhtawar, Tarek Zayed
Wiley Interdisciplinary Reviews Water (2023) Vol. 10, Iss. 5
Closed Access | Times Cited: 7
Multi-Model Neural Network for Live Classification of Water Pipe Leaks from Vibro-Acoustic Signals
Amal Gunatilake, Jaime Valls Miró
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14825-14832
Closed Access | Times Cited: 2
Water Leakage Classification With Acceleration, Pressure, and Acoustic Data: Leveraging the Wavelet Scattering Transform, Unimodal Classifiers, and Late Fusion
Erick Axel Martinez-Ríos, David Barrientos, Rogelio Bustamante-Bello
IEEE Access (2024) Vol. 12, pp. 84923-84951
Open Access | Times Cited: 2
Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions
Elias Farah, Isam Shahrour
Water (2024) Vol. 16, Iss. 20, pp. 2975-2975
Open Access | Times Cited: 2
Wavelet packet transformation-based improved acoustic emission method for structural damage identification
Mohamed Barbosh, Ayan Sadhu
Smart Materials and Structures (2024) Vol. 34, Iss. 1, pp. 015036-015036
Open Access | Times Cited: 2
AIoT-Driven Leak Detection in Real Water Networks Using Hydrophones
Beenish Bakhtawar, Ali Fares, Tarek Zayed
Water Resources Management (2024)
Open Access | Times Cited: 2
Key Factors That Influence the Frequency Range of Measured Leak Noise in Buried Plastic Water Pipes: Theory and Experiment
Oscar Scussel, M.J. Brennan, Fabrício Almeida, et al.
Acoustics (2023) Vol. 5, Iss. 2, pp. 490-508
Open Access | Times Cited: 5
A Two-Stage Model for Data-Driven Leakage Detection and Localization in Water Distribution Networks
Vineet Veer Tyagi, Prerna Pandey, Shashi Jain, et al.
Water (2023) Vol. 15, Iss. 15, pp. 2710-2710
Open Access | Times Cited: 5
Interpretable deep learning for acoustic leak detection in water distribution systems
Ziyang Xu, Haixing Liu, Guangtao Fu, et al.
Water Research (2024) Vol. 273, pp. 123076-123076
Closed Access | Times Cited: 1
Automatic Weight Redistribution Ensemble Model Based on Transfer Learning to Use in Leak Detection for the Power Industry
Sungsoo Kwon, Seoyoung Jeon, Tae‐Jin Park, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4999-4999
Open Access | Times Cited: 1
False Alarm Prevention through Domain Knowledge-driven Machine Learning: Leakage Detection in Water Distribution Networks
Sanghoon Lee, Jiyeong Chae, Sihoon Moon, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 31538-31550
Closed Access | Times Cited: 1
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