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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:

GAN-based anomaly detection: A review
Xuan Xia, Xizhou Pan, Nan Li, et al.
Neurocomputing (2022) Vol. 493, pp. 497-535
Closed Access | Times Cited: 220

Showing 1-25 of 220 citing articles:

Activation functions in deep learning: A comprehensive survey and benchmark
Shiv Ram Dubey, Satish Kumar Singh, B.B. Chaudhuri
Neurocomputing (2022) Vol. 503, pp. 92-108
Open Access | Times Cited: 496
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 289-318
Open Access | Times Cited: 134
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-21
Open Access | Times Cited: 95
AI-enhanced blockchain technology: A review of advancements and opportunities
Dalila Ressi, Riccardo Romanello, Carla Piazza, et al.
Journal of Network and Computer Applications (2024) Vol. 225, pp. 103858-103858
Closed Access | Times Cited: 35
Future of generative adversarial networks (GAN) for anomaly detection in network security: A review
Willone Lim, Kelvin S. C. Yong, Lau Bee Theng, et al.
Computers & Security (2024) Vol. 139, pp. 103733-103733
Open Access | Times Cited: 26
Self-supervised anomaly detection in computer vision and beyond: A survey and outlook
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
Neural Networks (2024) Vol. 172, pp. 106106-106106
Open Access | Times Cited: 23
MAEDAY: MAE for few- and zero-shot AnomalY-Detection
Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, et al.
Computer Vision and Image Understanding (2024) Vol. 241, pp. 103958-103958
Open Access | Times Cited: 14
A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
Emilija Strelcenia, Simant Prakoonwit
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 304-329
Open Access | Times Cited: 35
Image encoding selection based on Pearson correlation coefficient for time series anomaly detection
Helmy Rahadian, Steven Bandong, Augie Widyotriatmo, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 304-322
Open Access | Times Cited: 34
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui, Zhaoxiang Liu, Shiguo Lian
IEEE Access (2023) Vol. 11, pp. 55297-55315
Open Access | Times Cited: 30
Detection of anomaly in surveillance videos using quantum convolutional neural networks
Javeria Amin, Muhammad Almas Anjum, Kainat Ibrar, et al.
Image and Vision Computing (2023) Vol. 135, pp. 104710-104710
Closed Access | Times Cited: 27
LSTM-based failure prediction for railway rolling stock equipment
Luigi De Simone, Enzo Caputo, Marcello Cinque, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119767-119767
Open Access | Times Cited: 25
DeepThink IoT: The Strength of Deep Learning in Internet of Things
Divyansh Thakur, Jaspal Kaur Saini, Srikant Srinivasan
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14663-14730
Closed Access | Times Cited: 25
Generative Adversarial Networks
Moez Krichen
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 25
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
Anomaly diagnosis of connected autonomous vehicles: A survey
Yukun Fang, Haigen Min, Xia Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102223-102223
Closed Access | Times Cited: 10
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 10
Unleashing the potential: AI empowered advanced metasurface research
Yunlai Fu, Xuxi Zhou, Yiwan Yu, et al.
Nanophotonics (2024) Vol. 13, Iss. 8, pp. 1239-1278
Open Access | Times Cited: 9
Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing 5.0
Jing Yang, Yutong Wang, Xingxia Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 11, pp. 6522-6536
Closed Access | Times Cited: 8
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Dariush Amirkhani, Mohand Saïd Allili, Loucif Hebbache, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10483-10505
Closed Access | Times Cited: 7
Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
Ehtesham Hashmi, Muhammad Mudassar Yamin, Sule Yildirim Yayilgan
AI and Ethics (2024)
Open Access | Times Cited: 7
Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction
Xinyue Hao, Emrah Demir, Daniel Eyers
Technology in Society (2024) Vol. 78, pp. 102662-102662
Open Access | Times Cited: 6
Securing Fog-enabled IoT: federated learning and generative adversarial networks for intrusion detection
Ting Lei
Telecommunication Systems (2025) Vol. 88, Iss. 1
Closed Access
A latent diffusion approach to visual attribution in medical imaging
Ammar Ahmed Siddiqui, Santosh Tirunagari, Tehseen Zia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning
Yi Lai, Ye Zhu, Li Li, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 310-310
Open Access
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