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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:

Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
Miryam Elizabeth Villa-Pérez, Miguel Á. Álvarez‐Carmona, Octavio Loyola‐González, et al.
Knowledge-Based Systems (2021) Vol. 218, pp. 106878-106878
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

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: 29
A survey on semi-supervised graph clustering
Fatemeh Daneshfar, Sayvan Soleymanbaigi, P. Yamini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108215-108215
Closed Access | Times Cited: 19
Support Vector Machines
Zhen Liu
(2025), pp. 129-140
Closed Access | Times Cited: 8
Tools for Artificial Intelligence
Zhen Liu
(2025), pp. 45-93
Closed Access | Times Cited: 3
Artificial Neural Networks
Zhen Liu
(2025), pp. 175-190
Closed Access | Times Cited: 3
A survey on machine learning methods for churn prediction
Louis Geiler, Séverine Affeldt, Mohamed Nadif
International Journal of Data Science and Analytics (2022) Vol. 14, Iss. 3, pp. 217-242
Open Access | Times Cited: 41
Hierarchical classification of insects with multitask learning and anomaly detection
Kim Bjerge, Quentin Geissmann, Jamie Alison, et al.
Ecological Informatics (2023) Vol. 77, pp. 102278-102278
Open Access | Times Cited: 27
Challenges and Future Directions in Anomaly Detection
Naga Ramesh Palakurti
Advances in systems analysis, software engineering, and high performance computing book series (2024), pp. 269-284
Closed Access | Times Cited: 15
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: 12
Outlier detection method based on high-density iteration
Yu Zhou, Hao Xia, Dahui Yu, et al.
Information Sciences (2024) Vol. 662, pp. 120286-120286
Open Access | Times Cited: 10
Ensemble Learning
Zhen Liu
(2025), pp. 221-242
Closed Access | Times Cited: 1
Energy-efficient blockchain implementation for Cognitive Wireless Communication Networks (CWCNs)
Premkumar Chithaluru, Fadi Al‐Turjman, Thompson Stephan, et al.
Energy Reports (2021) Vol. 7, pp. 8277-8286
Open Access | Times Cited: 44
Joint-attention feature fusion network and dual-adaptive NMS for object detection
Wentao Ma, Tongqing Zhou, Jiaohua Qin, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108213-108213
Closed Access | Times Cited: 36
An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment
Mohammad Feli, Iman Azimi, Arman Anzanpour, et al.
Smart Health (2023) Vol. 28, pp. 100390-100390
Open Access | Times Cited: 21
Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification
Xinmin Tao, Xinyue Guo, Yujia Zheng, et al.
Knowledge-Based Systems (2023) Vol. 277, pp. 110795-110795
Closed Access | Times Cited: 20
Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance
Ezgi Gursel, Bhavya Reddy, Anahita Khojandi, et al.
Nuclear Engineering and Technology (2022) Vol. 55, Iss. 2, pp. 603-622
Open Access | Times Cited: 28
Controlled graph neural networks with denoising diffusion for anomaly detection
Xuan Li, Chunjing Xiao, Ziliang Feng, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121533-121533
Closed Access | Times Cited: 16
Boundary-aware local Density-based outlier detection
Fatih Aydın
Information Sciences (2023) Vol. 647, pp. 119520-119520
Closed Access | Times Cited: 15
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults
P. Maestro, José Miguel Ramírez‐Sanz, Andrés Bustillo, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4525-4544
Open Access | Times Cited: 5
Anomaly Detection and Classification in Multispectral Time Series Based on Hidden Markov Models
Karéth Leon-López, Florian Mouret, Henry Argüello, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Open Access | Times Cited: 30
A Hybrid Jamming Detection Algorithm for Wireless Communications: Simultaneous Classification of Known Attacks and Detection of Unknown Attacks
Seokhwa Hong, Kyuyeong Kim, Si-Hyeon Lee
IEEE Communications Letters (2023) Vol. 27, Iss. 7, pp. 1769-1773
Closed Access | Times Cited: 13
Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection
Dominic Lightbody, Duc‐Minh Ngo, Andriy Temko, et al.
Future Internet (2023) Vol. 15, Iss. 5, pp. 187-187
Open Access | Times Cited: 13
Semi-Supervised Isolation Forest for Anomaly Detection
Luca Stradiotti, Lorenzo Perini, Jesse Davis
Society for Industrial and Applied Mathematics eBooks (2024), pp. 670-678
Open Access | Times Cited: 4
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems
Francesco Simmini, Mirco Rampazzo, Fabio Peterle, et al.
IEEE Transactions on Control Systems Technology (2021) Vol. 30, Iss. 4, pp. 1359-1374
Closed Access | Times Cited: 24
A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA)
Zequn Niu, Xu‐Guang Guo, Jingfeng Xue, et al.
Computers & Security (2023) Vol. 129, pp. 103190-103190
Closed Access | Times Cited: 11
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