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 Real-Time Fault Detection Framework Based on Unsupervised Deep Learning for Prognostics and Health Management of Railway Assets
Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano
IEEE Access (2022) Vol. 10, pp. 96442-96458
Open Access | Times Cited: 7

Showing 7 citing articles:

A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms
Adriano Liso, Angelo Cardellicchio, Cosimo Patruno, et al.
IEEE Access (2024) Vol. 12, pp. 93911-93923
Open Access | Times Cited: 6

Margin-Maximized Hyperspace for Fault Detection and Prediction: A Case Study With an Elevator Door
Minjae Kim, Seho Son, Ki‐Yong Oh
IEEE Access (2023) Vol. 11, pp. 128580-128595
Open Access | Times Cited: 6

Advancements and applications of digital twin in the railway industry: a literature review
Dinesh Kushwaha, Ankit Kumar, S. P. Harsha
International Journal of Rail Transportation (2024), pp. 1-26
Closed Access | Times Cited: 1

Recurrent Neural Network-Based Autoencoder for Problems of Automatic Time Series Analysis at Power Facilities
Павел Матренин, A.I. Khalyasmaa, Y. V. Potachits
Problems of the Regional Energetics (2023), Iss. 2(58), pp. 61-71
Open Access | Times Cited: 1

A Fault Detection Technique based on Deep Transfer Learning from Experimental Linear Actuator to Real-World Railway Door Systems
Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano
Annual Conference of the PHM Society (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 1

A Fault Detection Approach Based on One-Sided Domain Adaptation and Generative Adversarial Networks for Railway Door Systems
Minoru Shimizu, Yifan Zhao, Nicolas P. Avdelidis
Sensors (2023) Vol. 23, Iss. 24, pp. 9688-9688
Open Access

A Study on Deep Learning Frameworks to Understand the Real Time Fault Detection and Diagnosis in IT Operations with AIOPs
Latha Narayanan Valli, N. Sujatha, E. Joice Rathinam
(2023), pp. 1-6
Closed Access

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