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:

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: 12

Showing 12 citing articles:

Explainable ensemble models for predicting wall thickness loss of water pipes
Ridwan Taiwo, Abdul‐Mugis Yussif, Mohamed El Amine Ben Seghier, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 4, pp. 102630-102630
Open Access | Times Cited: 9

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: 5

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: 14

Evaluating water pipe leak detection and localization with various machine learning and deep learning models
C.Satheesh Pandian, P. J. A. Alphonse
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access

Promoting sustainable urban mobility via automated sidewalk defect detection
Abdul‐Mugis Yussif, Tarek Zayed, Ridwan Taiwo, et al.
Sustainable Development (2024) Vol. 32, Iss. 5, pp. 5861-5881
Open Access | Times Cited: 2

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: 2

Wasserstein-Enabled Leaks Localization in Water Distribution Networks
Andrea Ponti, Ilaria Giordani, Antonio Candelieri, et al.
Water (2024) Vol. 16, Iss. 3, pp. 412-412
Open Access | Times Cited: 1

Pipeline Leak Detection System Using Machine Learning
Chitrada Jaswanth, Golla Pavan Shiva, Grandhi Naga Sai Rishi Raj, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1

An Overview of Sound Source Localization based Condition Monitoring Robots
Dong Lv, Weijie Tang, Guojin Feng, et al.
ISA Transactions (2024)
Closed Access

Роль искусственного интеллекта в предотвращении утечек воды из сетей водоснабжения
V. Iu. Bazhenov, Oleg Primin, Viktor Bazhenov
Stroitel stvo nauka i obrazovanie [Construction Science and Education] (2024) Vol. 14, Iss. 4, pp. 98-111
Open Access

Forecasting Weather and Water Management Through Machine Learning
Inzimam Ul Hassan, Zeeshan Ahmad Lone, Swati Swati, et al.
Advances in civil and industrial engineering book series (2023), pp. 71-93
Closed Access

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