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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:

LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
Jae Seok, Akeem Bayo Kareem, Jang-Wook Hur
Sensors (2023) Vol. 23, Iss. 2, pp. 1009-1009
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

LSTM-Autoencoder Deep Learning Model for Anomaly Detection in Electric Motor
Fadhila Lachekhab, M. Benzaoui, Sid Ahmed Tadjer, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2340-2340
Open Access | Times Cited: 6
Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, Pushpa Tuppad
Results in Engineering (2025), pp. 104158-104158
Open Access
Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection
Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 926-926
Open Access | Times Cited: 5
Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile
Mina Bagherzade Ghazvini, Miquel Sànchez‐Marrè, Davood Naderi, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 653-653
Open Access | Times Cited: 4
Deep Learning Architecture for Detecting SQL Injection Attacks Based on RNN Autoencoder Model
Maha Alghawazi, Daniyal Alghazzawi, Suaad Alarifi
Mathematics (2023) Vol. 11, Iss. 15, pp. 3286-3286
Open Access | Times Cited: 11
Vibration data-driven anomaly detection in UAVs: A deep learning approach
Erkan Caner Ozkat
Engineering Science and Technology an International Journal (2024) Vol. 54, pp. 101702-101702
Open Access | Times Cited: 3
Unsupervised constrained discord detection in IoT-based online crane monitoring
Anandarup Mukherjee, Manu Sasidharan, Manuel Herrera, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102444-102444
Open Access | Times Cited: 2
A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment
Seonwoo Lee, Akeem Bayo Kareem, Jang-Wook Hur
Electronics (2024) Vol. 13, Iss. 9, pp. 1700-1700
Open Access | Times Cited: 2
Anomaly Detection Methods for Industrial Applications: A Comparative Study
Maria Antonietta Panza, Marco Pota, Massimo Esposito
Electronics (2023) Vol. 12, Iss. 18, pp. 3971-3971
Open Access | Times Cited: 7
A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems
Francesco Morgan Bono, Luca Radicioni, Simone Cinquemani, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5683-5683
Open Access | Times Cited: 5
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Senor Fusion Approach
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
(2023)
Open Access | Times Cited: 5
Markov enhanced I-LSTM approach for effective anomaly detection for time series sensor data
V. Shanmuganathan, A. Suresh
International Journal of Intelligent Networks (2024) Vol. 5, pp. 154-160
Open Access | Times Cited: 1
Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps
Dong-Yun Kim, Akeem Bayo Kareem, Daryl Domingo, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 60-60
Open Access | Times Cited: 1
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry
Florent Wadel, Rémy Houssin, Amadou Coulibaly, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
A Deep Learning Architecture for Detecting SQL Injection Attacks based on RNN Autoencoder Model
Maha Alghawazi, Daniyal Alghazzawi, Suaad Alarifi
(2023)
Open Access | Times Cited: 3
CECvT: Initial Diagnosis of Anomalies in Thermal Images
Donghyun Kim, Hoseong Hwang, Hochul Kim
IEEE Access (2023) Vol. 11, pp. 108068-108079
Open Access | Times Cited: 3
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
Inventions (2023) Vol. 8, Iss. 6, pp. 140-140
Open Access | Times Cited: 3
Realizing Predictive Maintenance in Production Machinery Through Low-Cost IIoT Framework and Anomaly Detection: A Case Study in a Real-World Manufacturing Environment
Gabriel Filios, Stylianos Karatzas, Marios Krousarlis, et al.
(2023), pp. 338-346
Closed Access | Times Cited: 2
Power Quality Disturbances Data Dimensionality Reduction Using Autoencoder
Venkataramana Veeramsetty, Aitha Dhanush, Gundapu Rama Krishna, et al.
Green energy and technology (2024), pp. 517-546
Closed Access
Predictive Analysis of Autism Spectrum Disorder using Machine Learning Techniques*
T. Arathi, Samyukths Sasikumar, A S Vishnu Mahesh
(2024), pp. 1-6
Closed Access
Spectral-Based Fault Diagnosis Methodology for Industrial Shot Blast Machinery Leveraging XGBoost and Feature Importance
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Beak Cheon Shin, et al.
(2024)
Open Access
A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, B.C. Shin, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 64-64
Open Access
An Echo State Network-Based Light Framework for Online Anomaly Detection: An Approach to Using AI at the Edge
Andrea Bonci, Renat Kermenov, Lorenzo Longarini, et al.
Machines (2024) Vol. 12, Iss. 10, pp. 743-743
Open Access
Time Series Anomaly Detection Using Temporal 2D-Variation Multi-Layer Feature Fusion Times Network
Cui Tao, Yueming Zhu, Yao Liu, et al.
(2024), pp. 726-731
Closed Access
AI-Driven Electrical Fast Transient Suppression for Enhanced Electromagnetic Interference Immunity in Inductive Smart Proximity Sensors
Silvia Giangaspero, Gianluca Nicchiotti, P. Venier, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7372-7372
Open Access
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