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:

Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0
Thao Nguyen-Da, Phuong Nguyen Thanh, Ming-Yuan Cho
Internet of Things (2024) Vol. 27, pp. 101280-101280
Closed Access | Times Cited: 7

Showing 7 citing articles:

Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection
Seunghwan Song, Kyuchang Chang, Cheolsoon Park, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access

Lightweight anomaly detection in federated learning via separable convolution and convergence acceleration
Bin Jiang, Guangfeng Wang, Xuerong Cui, et al.
Internet of Things (2025), pp. 101518-101518
Closed Access

Online prognostic failure AIoT system for industrial generators maintenance service based two-stage deep learning algorithm
D. T. Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
Control Engineering Practice (2025) Vol. 157, pp. 106263-106263
Closed Access

Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
D. T. Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access

Fault Detection in Steel Belts of Tires Using Magnetic Sensors and Different Deep Learning Models
Sercan Yalçın
Firat University Journal of Experimental and Computational Engineering (2025) Vol. 4, Iss. 1, pp. 85-99
Open Access

A Comparative Analysis of Anomaly Detection Methods in IoT Networks: An Experimental Study
Emanuel Krzysztoń, Izabela Rojek, Dariusz Mikołajewski
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11545-11545
Open Access | Times Cited: 2

Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves
Jianwen Guo, Yuwei Cai, Zihan Chen, et al.
Science and Technology of Nuclear Installations (2024) Vol. 2024, Iss. 1
Open Access

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