Open Access Helper

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 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

Showing 20 citing articles:

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
Liquid-filled pipeline leak detection and localization based on multi-scale residual networks
Si-Liang Zhao, Linhui Zhou, Shaogang Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055012-055012
Closed Access | Times Cited: 5
Optimising Water Use Through Smart Models and Artificial Intelligence
Jaime Ortiz, Víctor Manuel Zamudio-García
IGI Global eBooks (2025), pp. 165-196
Closed Access
Fine-Grained Leakage Detection for Water Supply Pipelines Based on CNN and Selective State-Space Models
Niannian Wang, Weiyi Du, Hongjin Liu, et al.
Water (2025) Vol. 17, Iss. 8, pp. 1115-1115
Open Access
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
Water Flow Modeling and Forecast in a Water Branch of Mexico City through ARIMA and Transfer Function Models for Anomaly Detection
David Barrientos, Erick Axel Martinez-Ríos, Sergio A. Navarro-Tuch, et al.
Water (2023) Vol. 15, Iss. 15, pp. 2792-2792
Open Access | Times Cited: 8
Inductive Link Prediction Banking Fraud Detection System Using Homogeneous Graph-Based Machine Learning Model
Hilmi Aziz Bukhori, Rinaldi Munir
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 0246-0251
Closed Access | Times Cited: 7
Identification of the number of leaks in water supply pipes based on wavelet scattering network and Bi-LSTM model with Bayesian optimization
Hongjin Liu, Niannian Wang, Hongyuan Fang, et al.
Measurement (2024), pp. 116348-116348
Closed Access | Times Cited: 2
Machine Learning Approach Based on Smart Ball COMSOL Multiphysics Simulation for Pipe Leak Detection
Marwa Abed, Wasan Wali, Musaab Alaziz
Iraqi Journal for Electrical And Electronic Engineering (2023) Vol. 19, Iss. 1, pp. 100-110
Open Access | Times Cited: 6
Identification of Pipeline Leak Sizes Based on Chaos-Gray Wolf-Support Vector Machine
Xiaojuan Han, J. Liu, Xiwang Cui, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23179-23190
Closed Access | Times Cited: 5
Sinkhole Risk-Based Sensor Placement for Leakage Localization in Water Distribution Networks with a Data-Driven Approach
Gabriele Medio, Giada Varra, Çağrı Alperen İnan, et al.
Sustainability (2024) Vol. 16, Iss. 12, pp. 5246-5246
Open 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
Intelligent Models for Forecasting Repair Timing of Leakage Water Pipelines
Ahmed Ali Mohamed Warad, Khaled Wassif, Nagy Ramadan
(2023), pp. 255-260
Closed Access | Times Cited: 3
Perbandingan Metode Ensemble Learning Random Forest Dan Adaboost Pada Pengenalan Chord Instrumen Piano Dan Gitar
I Dewa Agung Adwitya Prawangsa, Anak Agung Istri Ngurah Eka Karyawati
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) (2024) Vol. 12, Iss. 4, pp. 809-809
Open Access
Water Leak Detection and Classification Using Multiple Sensors
Daniele Ugo Leonzio, Paolo Bestagini, Marco Marcon, et al.
(2024), pp. 690-695
Closed Access
An efficient crack detection and leakage monitoring in liquid metal pipelines using a novel BRetN and TCK-LSTM techniques
Praveen Sankarasubramanian
Multimedia Tools and Applications (2024)
Closed Access
Enhancing Automated Acoustic Leak Detection in a Water Distribution Network Using Ensemble Machine Learning
Vincent Boadu, Samer El-Zahab, Tarek Zayed
Journal of Water Resources Planning and Management (2024) Vol. 151, Iss. 3
Closed Access
Adaptive Real-time Leak Detection in Water Distribution Systems Using Online Learning
Essouabni Mohammed, Jamal El Mhamdi, Jilbab Abdelilah
(2024) Vol. 5, pp. 1-6
Closed Access
Research on Multi-Algorithm Fusion Technology Based on Machine Learning in Pipeline Leakage Detection
Yuan Liu, Wenhao Xie, Qiao Guo, et al.
(2024)
Closed Access
Water Leakage Classification With Acceleration, Pressure, and Acoustic Data: Leveraging the Wavelet Scattering Transform, Unimodal Classifiers, and Late Fusion
Erick Axel Martinez-Ríos, David Barrientos, Rogelio Bustamante-Bello
IEEE Access (2024) Vol. 12, pp. 84923-84951
Open Access
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