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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 of Water Supply Networks Using Error-Domain Model Falsification
Gaudenz Moser, Stephanie German Paal, Ian F. C. Smith
Journal of Computing in Civil Engineering (2017) Vol. 32, Iss. 2
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Review of model-based and data-driven approaches for leak detection and location in water distribution systems
Zukang Hu, Beiqing Chen, Wenlong Chen, et al.
Water Science & Technology Water Supply (2021) Vol. 21, Iss. 7, pp. 3282-3306
Open Access | Times Cited: 104
Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms
Roya Cody, Bryan A. Tolson, Jeff Orchard
Journal of Computing in Civil Engineering (2020) Vol. 34, Iss. 2
Closed Access | Times Cited: 81
Data-driven approaches and model-based methods for detecting and locating leaks in water distribution systems: a literature review
Waid Nimri, Yong Wang, Ziang Zhang, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 16, pp. 11611-11623
Closed Access | Times Cited: 17
Supervised Machine Learning Approaches for Leak Localization in Water Distribution Systems: Impact of Complexities of Leak Characteristics
Lochan Basnet, Downey Brill, Ranji Ranjithan, et al.
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 8
Closed Access | Times Cited: 12
An iterative method for leakage zone identification in water distribution networks based on machine learning
Jingyu Chen, Xin Feng, Shiyun Xiao
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 1938-1956
Closed Access | Times Cited: 27
Hyperparameter Optimization of a Convolutional Neural Network Model for Pipe Burst Location in Water Distribution Networks
André Antunes, Bruno Ferreira, Nuno C. Marques, et al.
Journal of Imaging (2023) Vol. 9, Iss. 3, pp. 68-68
Open Access | Times Cited: 9
Enhancing static-load-test identification of bridges using dynamic data
Wen-Jun Cao, C. G. Koh, Ian F. C. Smith
Engineering Structures (2019) Vol. 186, pp. 410-420
Open Access | Times Cited: 28
Time-Series-Based Leakage Detection Using Multiple Pressure Sensors in Water Distribution Systems
Yu Shao, Xin Li, Tuqiao Zhang, et al.
Sensors (2019) Vol. 19, Iss. 14, pp. 3070-3070
Open Access | Times Cited: 26
A Comparison of Model-Based Methods for Leakage Localization in Water Distribution Systems
Irene Marzola, Stefano Alvisi, Marco Franchini
Water Resources Management (2022) Vol. 36, Iss. 14, pp. 5711-5727
Open Access | Times Cited: 15
Multi-objective and risk-based optimal sensor placement for leak detection in a water distribution system
Zukang Hu, Wenlong Chen, Debao Tan, et al.
Environmental Technology & Innovation (2022) Vol. 28, pp. 102565-102565
Open Access | Times Cited: 14
Transient simulations in water distribution networks: TSNet python package
Lu Xing, Lina Sela
Advances in Engineering Software (2020) Vol. 149, pp. 102884-102884
Closed Access | Times Cited: 22
A Leak Zone Location Approach in Water Distribution Networks Combining Data-Driven and Model-Based Methods
Marlon Jesús Ares-Milián, Marcos Quiñones-Grueiro, Cristina Verde, et al.
Water (2021) Vol. 13, Iss. 20, pp. 2924-2924
Open Access | Times Cited: 18
Leakage localization using pressure sensors and spatial clustering in water distribution systems
Xin Li, Shipeng Chu, Tuqiao Zhang, et al.
Water Science & Technology Water Supply (2021) Vol. 22, Iss. 1, pp. 1020-1034
Open Access | Times Cited: 17
Proposal of a smart water meter for detecting sudden water leakage
Jan Fikejz, Jiří Roleček
2020 ELEKTRO (2018), pp. 1-4
Closed Access | Times Cited: 19
Robust Hierarchical Sensor Optimization Placement Method for Leak Detection in Water Distribution System
Zukang Hu, Wenlong Chen, Beqing Chen, et al.
Water Resources Management (2021) Vol. 35, Iss. 12, pp. 3995-4008
Closed Access | Times Cited: 15
Model-Based Interpretation of Measurements for Fatigue Evaluation of Existing Reinforced Concrete Bridges
Imane Bayane, Sai G. S. Pai, Ian F. C. Smith, et al.
Journal of Bridge Engineering (2021) Vol. 26, Iss. 8
Open Access | Times Cited: 14
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
Near Real-time Leak Location by Inverse Analysis Integrating Measurement Uncertainty
Bruno Ferreira, Nelson Carriço, Dídia Covas
Water Resources Management (2024)
Open Access | Times Cited: 1
A Bayesian model updating approach for detection-related problems in water distribution networks
H.A. Jensen, D.J. Jerez
Reliability Engineering & System Safety (2018) Vol. 185, pp. 100-112
Closed Access | Times Cited: 14
NSGA-II parameterization for the optimal pressure sensor location in water distribution networks
Bruno Ferreira, André Antunes, Nelson Carriço, et al.
Urban Water Journal (2023) Vol. 20, Iss. 6, pp. 738-750
Open Access | Times Cited: 4
Optimal joint deployment of flow and pressure sensors for leak identification in water distribution networks
Ehsan Raei, Mohammad Reza Nikoo, Shokoufeh Pourshahabi, et al.
Urban Water Journal (2018) Vol. 15, Iss. 9, pp. 837-846
Open Access | Times Cited: 12
Sensor placement for robust burst identification in water systems: Balancing modeling accuracy, parsimony, and uncertainties
Lu Xing, Tal Raviv, Lina Sela
Advanced Engineering Informatics (2021) Vol. 51, pp. 101484-101484
Open Access | Times Cited: 10
Time series data interpretation for ‘wheel-flat’ identification including uncertainties
Wen-Jun Cao, Shanli Zhang, Numa Bertola, et al.
Structural Health Monitoring (2019) Vol. 22, Iss. 1, pp. 3-18
Open Access | Times Cited: 10
Comparison of model-based techniques for pipe burst location in water distribution networks
Bruno Ferreira, André Antunes, Nelson Carriço, et al.
IOP Conference Series Earth and Environmental Science (2023) Vol. 1136, Iss. 1, pp. 012039-012039
Open Access | Times Cited: 3
Leak Detection in Smart Water Grids Using EPANET and Machine Learning Techniques
A. M. Nagaraj, Ganesh Reddy Kotamreddy, Pooja Choudhary, et al.
IETE Journal of Education (2021) Vol. 62, Iss. 2, pp. 71-79
Closed Access | Times Cited: 8
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