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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:

Improving the leak detection efficiency in water distribution networks using noise loggers
I. A. Tijani, Sherif Abdelmageed, Ali Fares, et al.
The Science of The Total Environment (2022) Vol. 821, pp. 153530-153530
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques
Meric Yilmaz Salman, Halil Hasar
Sustainable Cities and Society (2023) Vol. 94, pp. 104567-104567
Closed Access | Times Cited: 102
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
Industry 5.0 and Triple Bottom Line Approach in Supply Chain Management: The State-of-the-Art
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5712-5712
Open Access | Times Cited: 42
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
Natural gas pipeline leak detection based on acoustic signal analysis and feature reconstruction
Lizhong Yao, Yu Zhang, Tiantian He, et al.
Applied Energy (2023) Vol. 352, pp. 121975-121975
Closed Access | Times Cited: 28
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
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
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
Novel Long Short-Term Memory Model Based on the Attention Mechanism for the Leakage Detection of Water Supply Processes
Yongming Han, Zhiyi Li, Xuan Hu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 2786-2796
Closed Access | Times Cited: 5
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
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
Integrating Machine Learning and Acoustic Signals for Water Pipeline Leakage Localization
SARAVANABALAJI MANIAN, Periyasamy Sivakumar, R. Vijayanand, et al.
(2025)
Closed 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
A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov–Smirnov Test
Duc-Thuan Nguyen, Tuan-Khai Nguyen, Zahoor Ahmad, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9296-9296
Open Access | Times Cited: 9
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
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
Detection of Water Leaks in Suburban Distribution Mains with Lift and Shift Vibro-Acoustic Sensors
Lili Bykerk, Jaime Valls Miró
Vibration (2022) Vol. 5, Iss. 2, pp. 370-382
Open Access | Times Cited: 9
Optimal coverage-based placement of static leak detection devices for pipeline water supply networks
Víctor Blanco, Miguel Martínez-Antón
Omega (2023) Vol. 122, pp. 102956-102956
Open Access | Times Cited: 4
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
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
A two-phase approach for leak detection and localization in water distribution systems using wavelet decomposition and machine learning
Meriem Adraoui, Rida Azmi, Jérôme Chenal, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110534-110534
Closed Access | Times Cited: 1
Addressing Data Limitations in Leakage Detection of Water Distribution Systems: Data Creation, Data Requirement Reduction, and Knowledge Transfer
Yipeng Wu, Shuming Liu, Zoran Kapelan
Water Research (2024) Vol. 267, pp. 122471-122471
Open Access | Times Cited: 1
Assessment of the Implications and Challenges of Using Artificial Intelligence for Urban Water Networks in the Context of Climate Change When Building Future Resilient and Smart Infrastructures
Minh Tuan Bui, Humberto Yáñez-Godoy, Sidi Mohammed Elachachi
Journal of Pipeline Systems Engineering and Practice (2024) Vol. 16, Iss. 1
Closed Access | Times Cited: 1
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