Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Diagnosis of Unbalance in Lightweight Rotating Machines Using a Recurrent Neural Network Suitable for an Edge-Computing Framework
L. Y. Imamura, Sérgio Luciano Ávila, Fernando S. Pacheco, et al.
Journal of Control Automation and Electrical Systems (2022) Vol. 33, Iss. 4, pp. 1272-1285
Closed Access | Times Cited: 16

Showing 16 citing articles:

Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review
Siliang Lu, Jingfeng Lu, Kang An, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11093-11116
Closed Access | Times Cited: 107
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis
Huaxiang Pu, Ke Zhang, Yiyao An
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11139-11149
Closed Access | Times Cited: 29
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli
IEEE Access (2024) Vol. 12, pp. 96946-96996
Open Access | Times Cited: 5
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Edge, Fog and Cloud Computing framework for flexible production
Federico Briatore, Mattia Braggio
Procedia Computer Science (2025) Vol. 253, pp. 2206-2218
Open Access
Predictive Monitoring of Incipient Faults in Rotating Machinery: A Systematic Review from Data Acquisition to Artificial Intelligence
Kanika Saini, S. S. Dhami, Vanraj
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4005-4026
Closed Access | Times Cited: 23
Short- and long-term forecasting for building energy consumption considering IPMVP recommendations, WEO and COP27 scenarios
Greicili dos Santos Ferreira, Deilson Martins dos Santos, Sérgio Luciano Ávila, et al.
Applied Energy (2023) Vol. 339, pp. 120980-120980
Closed Access | Times Cited: 14
Comparative study on ballistic impact detection in helicopter transmission shafts using NARX and LSTM models
Vasiliki Panagiotopoulou, Lorenzo Brancato, Emanuele Petriconi, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
A Review on Data-Driven Condition Monitoring of Industrial Equipment
Ruosen Qi, Jie Zhang, Katy Spencer
Algorithms (2022) Vol. 16, Iss. 1, pp. 9-9
Open Access | Times Cited: 17
Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis
Seongjae Lee, Taehyoun Kim
IEEE Access (2023) Vol. 11, pp. 55046-55070
Open Access | Times Cited: 9
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Marine propulsion shafting-oriented status detection algorithm for uncertainty time-varying
Fayou Liu, Tianyun Li, Weijia Li
Journal of Marine Engineering & Technology (2024), pp. 1-11
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Soft-margin hyperdisk tensor machine and its application to the intelligent fault diagnosis of rotating machinery
Hailong Liu, Yu Yang, Niaoqing Hu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125902-125902
Closed Access | Times Cited: 1
Page 1

Scroll to top