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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:

Anomaly detection using spatial and temporal information in multivariate time series
Zhiwen Tian, Ming Zhuo, Leyuan Liu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection
Zhiyu Ren, Xiaojie Li, Jing Peng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
Jiazhen Chen, Mingbin Feng, Tony S. Wirjanto
(2025), pp. 98-106
Closed Access
Intelligent multi-sensor fusion and anomaly detection in vehicles via deep learning
Murat Arda Önsü, Murat Şimşek, Mark Fobert, et al.
Internet of Things (2025), pp. 101561-101561
Closed Access
A lightweight All-MLP time-frequency anomaly detection for IIoT time series
Lei Chen, Xinzhe Cao, Tingqin He, et al.
Neural Networks (2025), pp. 107400-107400
Closed Access
Manufacturing Quality Management Based on TimeGAN and Seq2Seq Models With Magnetic Press Machine Data
Jong Hyuk Lee, Min Young Kim
International Journal of Control Automation and Systems (2025) Vol. 23, Iss. 4, pp. 1199-1209
Closed Access
A Comprehensive AI/ML-Enabled Data Quality Framework for Climate-Smart Digital Agriculture
Shubha Dwivedi, Mazhuvanchery Avarachen Sherly
(2025), pp. 15-34
Closed Access
TimeTector: A Twin-Branch Approach for Unsupervised Anomaly Detection in Livestock Sensor Noisy Data (TT-TBAD)
Junaid Khan Kakar, Shahid Hussain, Sang Cheol Kim, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2453-2453
Open Access | Times Cited: 3
Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers
Laraib Sana, Mohsin Nazir, Jing Yang, et al.
IEEE Access (2024) Vol. 12, pp. 82443-82468
Open Access | Times Cited: 3
AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets
Attila Biró, Antonio Cuesta‐Vargas, László Szilágyi
Sensors (2023) Vol. 24, Iss. 1, pp. 132-132
Open Access | Times Cited: 8
Privacy and Security in Artificial Intelligence and Machine Learning Systems for Renewable Energy Big Data
Suzan Katamoura, Mehmet Sabih Aksoy, Bader Fahad Alkhamees
(2024), pp. 209-214
Closed Access | Times Cited: 2
Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study
Nicolò Oreste Pinciroli Vago, Francesca Forbicini, Piero Fraternali
Machines (2024) Vol. 12, Iss. 6, pp. 357-357
Open Access | Times Cited: 2
Predicting Machine Failures From Multivariate Time Series: An Industrial Case Study
Nicolò Oreste Pinciroli Vago, Francesca Forbicini, Piero Fraternali
(2024)
Open Access | Times Cited: 1
Machine learning-based real-time anomaly detection using data pre-processing in the telemetry of server farms
Dániel László Vajda, Tien Van Do, Tamás Bérczes, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Translated Temporal Component-Enhanced Attention for Multivariate Time-Series Anomaly Detection
Minji Seo, Myung Ho Kim
(2024)
Closed Access
Multi-Channel Anomaly Detection for Spacecraft Time Series Using MAP Estimation
Tianyu Li, Sriram Baireddy, Mary L. Comer, et al.
IEEE Transactions on Aerospace and Electronic Systems (2024) Vol. 60, Iss. 5, pp. 5842-5855
Closed Access
On-orbit Satellite Hierarchical Anomaly Detection Using Causal Structure Learning
Siya Chen, Guang Jin, Xi Long
Advances in Space Research (2024)
Closed Access
Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research
Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, et al.
IEEE Access (2024) Vol. 12, pp. 174564-174590
Open Access
Leveraging Generative Adversarial Networks for Synthetic Financial Data Generation
V. Manasa, Neeraj Varshney, Hassan M. Al–Jawahry, et al.
(2024), pp. 1409-1414
Closed Access
Optimizing Topology in Satellite–UAV Collaborative IoT: A Graph Partitioning Simulated Annealing Approach
Ming Zhuo, Yiming Feng, Peng Yang, et al.
Drones (2024) Vol. 8, Iss. 2, pp. 44-44
Open Access
Introduction to Spatiotemporal Data
M. Balamurugan, K. Maithili, N. Revathi, et al.
Big data management (2024), pp. 3-23
Closed Access
A Hybrid CNN-LSTM Framework for Unsupervised Anomaly Detection in Water Distribution Plant
Ali Kıvanç Şahin, Bora Çavdar, Ramazan Özgür Doğan, et al.
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2023), pp. 1-6
Closed Access | Times Cited: 1
Accuracy Is Not Enough: Optimizing for a Fault Detection Delay
Matej Šprogar, Domen Verber
Mathematics (2023) Vol. 11, Iss. 15, pp. 3369-3369
Open Access
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