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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:

A survey on anomaly detection for technical systems using LSTM networks
B. Lindemann, Benjamin Maschler, Nada Sahlab, et al.
Computers in Industry (2021) Vol. 131, pp. 103498-103498
Open Access | Times Cited: 264

Showing 1-25 of 264 citing articles:

Predicting stock market index using LSTM
Hum Nath Bhandari, Binod Rimal, Nawa Raj Pokhrel, et al.
Machine Learning with Applications (2022) Vol. 9, pp. 100320-100320
Open Access | Times Cited: 167
Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals
Yaser A. Nanehkaran, Biyun Chen, Ahmed Cemiloglu, et al.
Water (2023) Vol. 15, Iss. 15, pp. 2707-2707
Open Access | Times Cited: 83
A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE
Vanlalruata Hnamte, Hong-Nhung Nguyen, Jamal Hussain, et al.
IEEE Access (2023) Vol. 11, pp. 37131-37148
Open Access | Times Cited: 70
A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
Kyle DeMedeiros, Abdeltawab Hendawi, Marco Álvarez
Sensors (2023) Vol. 23, Iss. 3, pp. 1352-1352
Open Access | Times Cited: 57
Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy
Ramkumar Devendiran, Anil V. Turukmane
Expert Systems with Applications (2024) Vol. 245, pp. 123027-123027
Closed Access | Times Cited: 31
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 29-29
Open Access | Times Cited: 45
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data
Xinqi Zhang, Jihao Shi, Xinyan Huang, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120542-120542
Open Access | Times Cited: 31
Federated Learning Based on CTC for Heterogeneous Internet of Things
Demin Gao, Haoyu Wang, Xiuzhen Guo, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 22673-22685
Closed Access | Times Cited: 24
Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey
Sehar Zehra, Ummay Faseeha, Hassan Jamil Syed, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5340-5340
Open Access | Times Cited: 23
A Survey on an Emerging Safety Challenge for Autonomous Vehicles: Safety of the Intended Functionality
Hong Wang, Wenbo Shao, Chen Sun, et al.
Engineering (2024) Vol. 33, pp. 17-34
Open Access | Times Cited: 11
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: 8
An Acoustic Fault Detection and Isolation System for Multirotor UAV
Adam Bondyra, Marek Kołodziejczak, Radosław Kulikowski, et al.
Energies (2022) Vol. 15, Iss. 11, pp. 3955-3955
Open Access | Times Cited: 36
Fault identification for photovoltaic systems using a multi-output deep learning approach
Zain Mustafa, Ahmed S. A. Awad, Maher A. Azzouz, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118551-118551
Closed Access | Times Cited: 36
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process
Zhenhua Wang, Beike Zhang, Dong Gao
Computers in Industry (2022) Vol. 139, pp. 103647-103647
Open Access | Times Cited: 34
Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
Lin Wang, Haishu Tan, Fuqiang Zhou, et al.
IEEE Access (2022) Vol. 10, pp. 44278-44289
Open Access | Times Cited: 34
A deep learning approach for prediction of electrical vehicle charging stations power demand in regulated electricity markets: The case of Morocco
Mouaad Boulakhbar, Markos Farag, Kawtar Benabdelaziz, et al.
Cleaner Energy Systems (2022) Vol. 3, pp. 100039-100039
Open Access | Times Cited: 31
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
A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems
Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 20
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
Aitor Goti, Leire Querejeta-Lomas, Aitor Almeida, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2943-2943
Open Access | Times Cited: 18
Intrusion detection in internet of things using improved binary golden jackal optimization algorithm and LSTM
Amir Vafid Hanafi, Ali Ghaffari, Hesam Rezaei, et al.
Cluster Computing (2023) Vol. 27, Iss. 3, pp. 2673-2690
Closed Access | Times Cited: 18
Application of machine learning algorithms for nonlinear system forecasting through analytics — A case study with mining influenced water data
Kagiso S. More, Christian Wolkersdorfer
Water Resources and Industry (2023) Vol. 29, pp. 100209-100209
Open Access | Times Cited: 16
Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin
Manuel Müller, Tamás Ruppert, Nasser Jazdi, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 5, pp. 2045-2063
Open Access | Times Cited: 16
Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach
Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, et al.
Computers & Chemical Engineering (2023) Vol. 180, pp. 108476-108476
Closed Access | Times Cited: 16
Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, et al.
Journal of Network and Computer Applications (2024) Vol. 226, pp. 103886-103886
Closed Access | Times Cited: 7
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders
Majdi I. Radaideh, Chris H. Pappas, Jared Walden, et al.
Digital Signal Processing (2022) Vol. 130, pp. 103704-103704
Open Access | Times Cited: 27
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