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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:

Data-driven application of MEMS-based accelerometers for leak detection in water distribution networks
Salman Tariq, Beenish Bakhtawar, Tarek Zayed
The Science of The Total Environment (2021) Vol. 809, pp. 151110-151110
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Microelectromechanical Systems (MEMS) for Biomedical Applications
Cristina Chircov, Alexandru Mihai Grumezescu
Micromachines (2022) Vol. 13, Iss. 2, pp. 164-164
Open Access | Times Cited: 116
Acoustic leak detection approaches for water pipelines
Harris K. H. Fan, Salman Tariq, Tarek Zayed
Automation in Construction (2022) Vol. 138, pp. 104226-104226
Closed Access | Times Cited: 80
Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data
Hoese Michel Tornyeviadzi, Razak Seidu
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106062-106062
Open Access | Times Cited: 46
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
Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks
Mohammad Mahdi Rajabi, Pooya Komeilian, Xi Wan, et al.
Water Research (2023) Vol. 238, pp. 120012-120012
Open Access | Times Cited: 28
Deep learning-assisted automated sewage pipe defect detection for urban water environment management
Lianpeng Sun, Jinjun Zhu, Jinxin Tan, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163562-163562
Closed Access | Times Cited: 23
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
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
Artificial Intelligence Applications for MEMS-Based Sensors and Manufacturing Process Optimization
Itilekha Podder, Tamás Fischl, Udo Bub
Telecom (2023) Vol. 4, Iss. 1, pp. 165-197
Open Access | Times Cited: 22
Machine Learning Model for Leak Detection Using Water Pipeline Vibration Sensor
Suan Lee, B. Kim
Sensors (2023) Vol. 23, Iss. 21, pp. 8935-8935
Open Access | Times Cited: 18
Data-Driven Approaches for Vibroacoustic Localization of Leaks in Water Distribution Networks
Rongsheng Liu, Salman Tariq, I. A. Tijani, et al.
Environmental Processes (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Leakage Detection in Water Distribution Systems Based on Logarithmic Spectrogram CNN for Continuous Monitoring
Hao Peng, Zhe Xu, Qinglong Huang, et al.
Journal of Water Resources Planning and Management (2024) Vol. 150, Iss. 6
Open Access | Times Cited: 6
Vibro-Acoustic Distributed Sensing for Large-Scale Data-Driven Leak Detection on Urban Distribution Mains
Lili Bykerk, Jaime Valls Miró
Sensors (2022) Vol. 22, Iss. 18, pp. 6897-6897
Open Access | Times Cited: 24
Application of Machine Learning for Leak Localization in Water Supply Networks
Abdul‐Mugis Yussif, Haleh Sadeghi, Tarek Zayed
Buildings (2023) Vol. 13, Iss. 4, pp. 849-849
Open Access | Times Cited: 14
A Tree-Based Machine Learning Method for Pipeline Leakage Detection
Yongxin Shen, Weiping Cheng
Water (2022) Vol. 14, Iss. 18, pp. 2833-2833
Open Access | Times Cited: 20
Integrated intelligent models for predicting water pipe failure probability
Ridwan Taiwo, Tarek Zayed, Mohamed El Amine Ben Seghier
Alexandria Engineering Journal (2023) Vol. 86, pp. 243-257
Open Access | Times Cited: 12
Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing
José García, Andrés Leiva-Araos, Emerson Diaz-Saavedra, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12497-12497
Open Access | Times Cited: 11
EMDet: An entropy blending and multi-link parallel feature enhancement detection model for gas pipeline weak leakage detection
Ye Lin, Chengyou Wang, Xiao Zhou, et al.
Process Safety and Environmental Protection (2024) Vol. 186, pp. 1580-1592
Open Access | Times Cited: 4
Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review
Kiran Joseph, Ashok Sharma, Rudi van Staden, et al.
Water (2023) Vol. 15, Iss. 11, pp. 2046-2046
Open Access | Times Cited: 10
Advanced MEMS Technologies
Z. Stanimirović, I. Stanimirović
IntechOpen eBooks (2025)
Closed Access
Groundwater Infiltration Inverse Estimation in Urban Sewers Network: A Two-stage Simulation-optimization Model
Zihan Liu, Yexin He, Wenli Liu, et al.
Sustainable Cities and Society (2025), pp. 106205-106205
Closed Access
Explainable deep learning models for predicting water pipe failures
Ridwan Taiwo, Tarek Zayed, Beenish Bakhtawar, et al.
Journal of Environmental Management (2025) Vol. 379, pp. 124738-124738
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
Feature extraction for acoustic leakage detection in water pipelines
Tao An, Liang Ma, Dazhi Li, et al.
Automation in Construction (2025) Vol. 176, pp. 106248-106248
Closed Access
Water Pipeline Leak Detection Based on a Pseudo-Siamese Convolutional Neural Network: Integrating Handcrafted Features and Deep Representations
Peng Zhang, Junguo He, Wanyi Huang, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1088-1088
Open Access | Times Cited: 9
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