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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:

A Survey and Study of Signal and Data-Driven Approaches for Pipeline Leak Detection and Localization
Uma Rajasekaran, Mohanaprasad Kothandaraman
Journal of Pipeline Systems Engineering and Practice (2024) Vol. 15, Iss. 2
Closed Access | Times Cited: 15

Showing 15 citing articles:

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
A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
Cambridge Prisms Water (2024) Vol. 2
Open Access | Times Cited: 2
Fractal Characteristics of Water Outflows on the Soil Surface after a Pipe Failure
Małgorzata Iwanek, Paweł Suchorab
Water (2024) Vol. 16, Iss. 9, pp. 1222-1222
Open Access | Times Cited: 2
Feature extraction and pattern recognition of gas pipeline flow noise signals in a strong noisy background
Enbin Liu, Chang Lu, Zhaorong Wen, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2087-e2087
Open Access | Times Cited: 1
An early warning method of pipeline leakage monitoring with limited leakage samples
Xiuquan Cai, Jinjiang Wang, Yingchun Ye, et al.
Measurement (2024), pp. 116013-116013
Closed Access | Times Cited: 1
Improved Entropy-Based Condition Monitoring for Pressure Pipeline Through Acoustic Denoising
Yu Wan, Shaochen Lin, Chuanling Jin, et al.
Entropy (2024) Vol. 27, Iss. 1, pp. 10-10
Open Access | Times Cited: 1
Decision: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR6
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Recommendation: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR2
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Decision: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR3
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Recommendation: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR5
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Author comment: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR4
Babak Zolghadr‐Asli
(2024)
Open Access
Acoustic signal adversarial augmentation for pressure pipeline leakage detection
Kaixuan Wang, Yong Yang, Xiaoli Zhao
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035538-035538
Closed Access
Novel Adaptive Hidden Markov Model Utilizing Expectation–Maximization Algorithm for Advanced Pipeline Leak Detection
Omid Zadehbagheri, Mohammad Reza Salehizadeh, S. Vahid Naghavi, et al.
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 4, pp. 1339-1364
Open Access
Numerical Simulation Study on Reverse Source Tracing for Heating Pipeline Network Leaks Based on Adjoint Equations
J. Wang, Yue Zhu, Siwei Zou, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2710-2710
Open Access
Author comment: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR1
Babak Zolghadr‐Asli
(2023)
Open Access
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