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:

Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction
Rong Yao, Chongdang Liu, Linxuan Zhang, et al.
(2019), pp. 1-7
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Deep learning in electron microscopy
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 83

VAE-based Deep SVDD for anomaly detection
Yu Zhou, Xiaomin Liang, Wei Zhang, et al.
Neurocomputing (2021) Vol. 453, pp. 131-140
Closed Access | Times Cited: 75

Unsupervised Health Indicator Construction by a Novel Degradation-Trend-Constrained Variational Autoencoder and Its Applications
Yi Qin, Jianghong Zhou, Dingliang Chen
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 3, pp. 1447-1456
Closed Access | Times Cited: 74

Unsupervised learning-based framework for indirect structural health monitoring using adversarial autoencoder
A. Calderon Hurtado, Kirandeep Kaur, Mehrisadat Makki Alamdari, et al.
Journal of Sound and Vibration (2023) Vol. 550, pp. 117598-117598
Closed Access | Times Cited: 26

Mega or Micro? Influencer Selection Using Follower Elasticity
Zijun Tian, Ryan Dew, Raghuram Iyengar
Journal of Marketing Research (2023) Vol. 61, Iss. 3, pp. 472-495
Closed Access | Times Cited: 26

Cocktail LSTM and Its Application Into Machine Remaining Useful Life Prediction
Sheng Xiang, Jianghong Zhou, Jun Luo, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 5, pp. 2425-2436
Closed Access | Times Cited: 24

Anomaly detection using a model-agnostic meta-learning-based variational auto-encoder for facility management
Jaeuk Moon, Yoona Noh, Seungwon Jung, et al.
Journal of Building Engineering (2023) Vol. 68, pp. 106099-106099
Closed Access | Times Cited: 18

SGAD-GAN: Simultaneous Generation and Anomaly Detection for time-series sensor data with Generative Adversarial Networks
Penghui Zhao, Zhongjun Ding, Yang Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111141-111141
Closed Access | Times Cited: 5

Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models
Enrique Mármol Campos, Aurora González-Vidal, José L. Hernández-Ramos, et al.
International Journal of Information Security (2025) Vol. 24, Iss. 2
Open Access

Prognostics and health management via long short-term digital twins
Yicheng Sun, Yuqian Lu, Jinsong Bao, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 560-575
Closed Access | Times Cited: 15

A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Nomica Choudhry, Jemal Abawajy, Shamsul Huda, et al.
IEEE Access (2023) Vol. 11, pp. 114680-114713
Open Access | Times Cited: 13

Fast topology optimization of phononic crystal‐based metastructures for vibration isolation by deep learning
Chen‐Xu Liu, Gui‐Lan Yu, Zhanli Liu
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 5, pp. 776-790
Closed Access | Times Cited: 12

Application of the MDATA Cognitive Model in Cyber Attack Assessment
Zhaoquan Gu, Yan Jia
Lecture notes in computer science (2025), pp. 113-147
Closed Access

Unsupervised Outlier Detection in IOT Using Deep VAE
Walaa Gouda, Sidra Tahir, Saad Alanazi, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6617-6617
Open Access | Times Cited: 20

Machine Learning-Based Hybrid Ensemble Model Achieving Precision Education for Online Education Amid the Lockdown Period of COVID-19 Pandemic in Pakistan
Rimsha Asad, Saud Altaf, Shafiq Ahmad, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5431-5431
Open Access | Times Cited: 10

Robust Unsupervised Anomaly Detection With Variational Autoencoder in Multivariate Time Series Data
Umaporn Yokkampon, Abbe Mowshowitz, Sakmongkon Chumkamon, et al.
IEEE Access (2022) Vol. 10, pp. 57835-57849
Open Access | Times Cited: 18

Inverse design of locally resonant metabarrier by deep learning with a rule-based topology dataset
Chen‐Xu Liu, Gui‐Lan Yu
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 394, pp. 114925-114925
Closed Access | Times Cited: 17

Deep learning-based design of ternary metamaterials for isolating full-mode waves
Chen‐Xu Liu, Gui‐Lan Yu
Engineering Structures (2022) Vol. 277, pp. 115441-115441
Closed Access | Times Cited: 12

Machine learning models in phononic metamaterials
Chen‐Xu Liu, Gui‐Lan Yu, Zhanli Liu
Current Opinion in Solid State and Materials Science (2023) Vol. 28, pp. 101133-101133
Closed Access | Times Cited: 7

The performance of encoder–decoder neural networks for leak detection in water distribution networks
Prasanna Mohan Doss, Marius Møller Rokstad, Franz Tscheikner-Gratl
Water Science & Technology Water Supply (2024) Vol. 24, Iss. 8, pp. 2750-2764
Closed Access | Times Cited: 2

Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance
Niloofar Jalali, Kirti Sundar Sahu, Arlene Oetomo, et al.
JMIR mhealth and uhealth (2020) Vol. 8, Iss. 11, pp. e21209-e21209
Open Access | Times Cited: 17

Deep learning-based topology design of periodic barrier for full-mode waves
Chen‐Xu Liu, Gui‐Lan Yu
Construction and Building Materials (2021) Vol. 314, pp. 125579-125579
Closed Access | Times Cited: 14

Data‐driven operation of the resilient electric grid: A case of COVID‐19
Hossein Noorazar, Anurag K. Srivastava, Sanjeev Pannala, et al.
The Journal of Engineering (2021) Vol. 2021, Iss. 11, pp. 665-684
Open Access | Times Cited: 13

Warwick electron microscopy datasets
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 1, Iss. 4, pp. 045003-045003
Open Access | Times Cited: 14

Variational Autoencoders for Anomaly Detection and Transfer Knowledge in Electricity and District Heating Consumption
Zahraa Khais Shahid, Saguna Saguna, Christer Åhlund
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 5, pp. 7437-7450
Closed Access | Times Cited: 1

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