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:
Water Pipeline Leak Detection Based on a Pseudo-Siamese Convolutional Neural Network: Integrating Handcrafted Features and Deep Representations
Peng Zhang, Junguo He, Wanyi Huang, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1088-1088
Open Access | Times Cited: 9
Peng Zhang, Junguo He, Wanyi Huang, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1088-1088
Open Access | Times Cited: 9
Showing 9 citing articles:
Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective
Yipeng Wu, Xingke Ma, Guancheng Guo, et al.
Water Research (2024) Vol. 261, pp. 121999-121999
Closed Access | Times Cited: 13
Yipeng Wu, Xingke Ma, Guancheng Guo, et al.
Water Research (2024) Vol. 261, pp. 121999-121999
Closed Access | Times Cited: 13
Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration
Hengyu Wu, Jiang Zhu, Xianghua Zhang, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 384-384
Open Access
Hengyu Wu, Jiang Zhu, Xianghua Zhang, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 384-384
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
Jianwu Chen, Xiao Wu, Zhibo Jiang, et al.
Measurement (2025), pp. 116857-116857
Closed Access
Research on Application of Convolutional Gated Recurrent Unit Combined with Attention Mechanism in Water Supply Pipeline Leakage Identification and Location Method
Jiang Zhu, Yuchen Wang, Haiyan Ning, et al.
Water (2025) Vol. 17, Iss. 4, pp. 575-575
Open Access
Jiang Zhu, Yuchen Wang, Haiyan Ning, et al.
Water (2025) Vol. 17, Iss. 4, pp. 575-575
Open Access
Leak detection in water supply networks using two-stage temporal segmentation and incremental learning for non-stationary acoustic signals
Xingke Ma, Yipeng Wu, Guancheng Guo, et al.
Water Research X (2025), pp. 100333-100333
Open Access
Xingke Ma, Yipeng Wu, Guancheng Guo, et al.
Water Research X (2025), pp. 100333-100333
Open Access
Review of Sensor-Based Subgrade Distress Identifications
Zhiheng Cheng, Zhengjian Xie, M. X. Wei, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2825-2825
Open Access | Times Cited: 2
Zhiheng Cheng, Zhengjian Xie, M. X. Wei, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2825-2825
Open Access | Times Cited: 2
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
Yipeng Wu, Shuming Liu, Zoran Kapelan
Water Research (2024) Vol. 267, pp. 122471-122471
Open Access | Times Cited: 1
A Spatial-Spectral Classification Method Based on Deep Learning for Controlling Pelagic Fish Landings in Chile
Jorge E. Pezoa, D. RamĂrez, Cristofher A. Godoy, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8909-8909
Open Access | Times Cited: 2
Jorge E. Pezoa, D. RamĂrez, Cristofher A. Godoy, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8909-8909
Open Access | Times Cited: 2
Leak Signal Collection and Classification in Water Pipelines Using Resource-Constrained Devices
Ratchapol Chantarachote, Natchapol Charuwimolkul, Chaiporn Jaikaeo, et al.
(2024), pp. 455-462
Closed Access
Ratchapol Chantarachote, Natchapol Charuwimolkul, Chaiporn Jaikaeo, et al.
(2024), pp. 455-462
Closed Access
