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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 Data Augmentation Strategy for Sensor Anomaly Detection in Industrial Robots
Haodong Lu, Miao Du, Kai Qian, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 18, pp. 17464-17474
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

IoT anomaly detection methods and applications: A survey
Ayan Chatterjee, Bestoun S. Ahmed
Internet of Things (2022) Vol. 19, pp. 100568-100568
Open Access | Times Cited: 148
SinGAN-Seg: Synthetic training data generation for medical image segmentation
Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0267976-e0267976
Open Access | Times Cited: 70
A Framework for Anomaly Detection in IoT Networks Using Conditional Generative Adversarial Networks
Imtiaz Ullah, Qusay H. Mahmoud
IEEE Access (2021) Vol. 9, pp. 165907-165931
Open Access | Times Cited: 57
Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology
Mojtaba A. Farahani, Matt McCormick, Robert Gianinny, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 208-241
Open Access | Times Cited: 27
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey
Martin Andreoni Lopez, Willian T. Lunardi, George Lawton, et al.
IEEE Access (2024) Vol. 12, pp. 109470-109493
Open Access | Times Cited: 7
Generative AI for Secure Physical Layer Communications: A Survey
Changyuan Zhao, Hongyang Du, Dusit Niyato, et al.
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 11, Iss. 1, pp. 3-26
Open Access | Times Cited: 5
Low-Code BPM meets IoT: A Framework for Real-Time Industrial Automation
Kartheek Kalluri
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) Vol. 09, Iss. 01, pp. 1-6
Closed Access
Change-point detection with deep learning: A review
Ruiyu Xu, Zheren Song, Jianguo Wu, et al.
Frontiers of Engineering Management (2025)
Open Access
A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop
Shengbo Wang, Yu Guo, Shaohua Huang, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 301-317
Closed Access
Study on a LightGBM-Based Model for Detecting Anomaly Operation of Delta Robot
Ji Yeon Kim, Ki-Hwan Kim, Youngjin Kang, et al.
Springer proceedings in business and economics (2025), pp. 469-476
Closed Access
Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios
Haoze Wu, Shisheng Zhong, Minghang Zhao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103297-103297
Closed Access
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
Sérgio F. Chevtchenko, Élisson da Silva Rocha, Monalisa Cristina Moura Dos Santos, et al.
IEEE Access (2023) Vol. 11, pp. 128288-128305
Open Access | Times Cited: 12
Dual attention bidirectional generative adversarial network for dynamic uncertainty process monitoring and diagnosis
Xujia Tang, Weipeng Lu, Xuefeng Yan
Process Safety and Environmental Protection (2023) Vol. 171, pp. 214-224
Closed Access | Times Cited: 11
Delamination Detection Framework for the Imbalanced Dataset in Laminated Composite Using Wasserstein Generative Adversarial Network-Based Data Augmentation
S. Kim, Muhammad Muzammil Azad, Jinwoo Song, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11837-11837
Open Access | Times Cited: 11
Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification
R. Satya Rajendra Singh, Rakesh Kumar Sanodiya
IEEE Access (2023) Vol. 11, pp. 143861-143880
Open Access | Times Cited: 9
Anomaly Detection Methods in Autonomous Robotic Missions
Shivoh Chirayil Nandakumar, Daniel Mitchell, Mustafa Suphi Erden, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1330-1330
Open Access | Times Cited: 3
Steel Strip Defect Sample Generation Method Based on Fusible Feature GAN Model under Few Samples
Cancan Yi, Qirui Chen, Biao Xu, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3216-3216
Open Access | Times Cited: 7
Generative Adversarial Networks
A. Manikandan, T. Sanjay
Advances in systems analysis, software engineering, and high performance computing book series (2023), pp. 67-83
Closed Access | Times Cited: 7
MPS-GAN: A multi-conditional generative adversarial network for simulating input parameters' impact on manufacturing processes
Hasnaa Ouidadi, Shenghan Guo
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1030-1045
Closed Access | Times Cited: 2
Recovery planning of industrial robots based on semantic information of failures and time-dependent utility
Satoru Matsuoka, Tetsuo Sawaragi
Advanced Engineering Informatics (2022) Vol. 51, pp. 101507-101507
Open Access | Times Cited: 11
Noise Interference Reduction in Vision Module of Intelligent Plant Cultivation Robot Using Better Cycle GAN
Zihan Jiang, Renbo Zhang, Yubo Guo, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 11, pp. 11045-11055
Closed Access | Times Cited: 10
Modeling and generating synthetic anomalies for energy and power time series
Marian Turowski, Moritz Weber, Oliver Neumann, et al.
(2022), pp. 471-484
Open Access | Times Cited: 9
Deep Learning-Based Cyber–Physical Feature Fusion for Anomaly Detection in Industrial Control Systems
Yan Du, Yuanyuan Huang, Guogen Wan, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4373-4373
Open Access | Times Cited: 8
Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
Tyler Ward, Kouroush Jenab, Jorge Ortega-Moody, et al.
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 1
A synergistic fusion of shallow and deep generative model to enhance machine learning efficacy and classification performance in data-scarce environments
Khursheed Ahmad Bhat, Shabir Ahmad Sofi
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
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