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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 and localization in water distribution networks using conditional deep convolutional generative adversarial networks
Mohammad Mahdi Rajabi, Pooya Komeilian, Xi Wan, et al.
Water Research (2023) Vol. 238, pp. 120012-120012
Open Access | Times Cited: 23

Showing 23 citing articles:

Advanced acoustic leak detection in water distribution networks using integrated generative model
Rongsheng Liu, Tarek Zayed, Rui Xiao
Water Research (2024) Vol. 254, pp. 121434-121434
Closed Access | Times Cited: 12
Generative adversarial networks for prognostic and health management of industrial systems: A review
Qing Li, Yanning Tang, Liying Chu
Expert Systems with Applications (2024) Vol. 253, pp. 124341-124341
Closed Access | Times Cited: 7
A two-stage leak monitoring framework for water distribution networks based on acoustic signals
Changjiang Wang, Xiaohong Chen, Yuexia Xu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112275-112275
Closed Access
Making waves: Generative artificial intelligence in water distribution networks: Opportunities and challenges
Ridwan Taiwo, Abdul‐Mugis Yussif, Tarek Zayed
Water Research X (2025) Vol. 28, pp. 100316-100316
Closed Access
Machine learning applications for anomaly detection in Smart Water Metering Networks: A systematic review
Maria Nelago Kanyama, Fungai Bhunu Shava, Attlee M. Gamundani, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103558-103558
Closed Access | Times Cited: 4
Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks
Fatemeh Rezaiezadeh Roukerd, Mohammad Mahdi Rajabi
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access | Times Cited: 3
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wanxin Yin, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174469-174469
Closed Access | Times Cited: 3
Confident learning-based Gaussian mixture model for leakage detection in water distribution networks
Ran Yan, Jinhui Jeanne Huang‬‬‬‬
Water Research (2023) Vol. 247, pp. 120773-120773
Closed Access | Times Cited: 9
Fast reconstruction of boiler numerical physical field based on proper orthogonal decomposition and conditional deep convolutional generative adversarial networks
Jiajian Long, Meirong Dong, Jieheng Zhou, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2653-2671
Closed Access | Times Cited: 2
Burst Diagnosis Multi-Stage Model for Water Distribution Networks Based on Deep Learning Algorithms
Sen Peng, Yuxin Wang, Fang Xu, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1258-1258
Open Access | Times Cited: 2
Water depth prediction in combined sewer networks, application of generative adversarial networks
Alireza Koochali, Amin E. Bakhshipour, Mahta Bakhshizadeh, et al.
Deleted Journal (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1
Online state estimation in water distribution systems via Extended Kalman Filtering
Matthew Bartos, Meghna Thomas, M. H. Kim, et al.
Water Research (2024) Vol. 264, pp. 122201-122201
Closed Access | Times Cited: 1
Time-Transformer for acoustic leak detection in water distribution network
Rongsheng Liu, Tarek Zayed, Rui Xiao, et al.
Journal of Civil Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
An Leakage detection Method for Water Supply Network Based on Federal Learning Network
Juan Li, Weijia Feng
Research Square (Research Square) (2024)
Open Access
A Robust Leakage Detection Method for Water Distribution Network Based on Spatiotemporal Data and Machine Learning
Zhirong Li, Wenchong Tian, Jiaying Wang, et al.
(2024)
Closed Access
Signal Processing and Pattern Recognition for Leak Detection in a Water Distribution Network
Daniel Barros, Thacio Carvalho Pereira, Gustavo Meirelles, et al.
Journal of Water Resources Planning and Management (2024) Vol. 150, Iss. 9
Closed Access
Leak detection in water distribution networks based on deep learning and kriging interpolation method
Huimin Yu, Sen Lin, Hua Zhou, et al.
AQUA - Water Infrastructure Ecosystems and Society (2024) Vol. 73, Iss. 8, pp. 1741-1753
Open Access
False Alarm Prevention through Domain Knowledge-driven Machine Learning: Leakage Detection in Water Distribution Networks
Sanghoon Lee, Jiyeong Chae, Sihoon Moon, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 31538-31550
Closed Access
Three-dimensional convolutional neural network for leak detection and localization in smart water distribution systems
Sanghoon Jun, Donghwi Jung, Kevin Lansey
Water Research X (2024) Vol. 25, pp. 100264-100264
Open Access
Research on the generation and modulation of active pressure wave for pipelines leak diagnosis
Xijian Guo, Jianqiang Deng, Zheng Cao, et al.
Measurement (2024), pp. 116059-116059
Closed Access
Leak detection and localization in water distribution systems via multilayer networks
Daniel Barros, Ariele Zanfei, Andrea Menapace, et al.
Water Research X (2024) Vol. 26, pp. 100280-100280
Open Access
An interpretable machine learning-based pitting corrosion depth prediction model for steel drinking water pipelines
Taehyeon Kim, Kibum Kim, Jinseok Hyung, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 571-585
Closed Access
Toward Identifying Cyber Dependencies in Water Distribution Systems Using Causal AI
Daniel Sobien, Ajay Kulkarni, Feras A. Batarseh
Journal of Water Resources Planning and Management (2024) Vol. 151, Iss. 2
Closed Access
Research on the Generation and Modulation of Active Pressure Wave for Pipelines Leak Detection
Xijian Guo, Jianqiang Deng, Zheng Cao, et al.
(2023)
Closed Access
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