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-Based Condition Monitoring and Fault Prognostics of Rolling Element Bearings Using Raw Vibrational Data
Yasir Saleem Afridi, Laiq Hasan, Rehmat Ullah, et al.
Machines (2023) Vol. 11, Iss. 5, pp. 531-531
Open Access | Times Cited: 19

Showing 19 citing articles:

An In-Depth Study of Vibration Sensors for Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Sensors (2024) Vol. 24, Iss. 3, pp. 740-740
Open Access | Times Cited: 21

Enhanced fault diagnosis of rolling bearings using an improved inception-lstm network
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 6

Rolling bearing fault diagnosis based on VMD-CNN-BiLSTM
Zhiqiang Wu
(2025), pp. 135-135
Closed Access

A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring
S.F. Dai, Shuang Han, Xinjian Bai, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1273-1273
Open Access

AdaBoost Ensemble Approach with Weak Classifiers for Gear Fault Diagnosis and Prognosis in DC Motors
Syed Safdar Hussain, Syed Sajjad Haider Zaidi
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3105-3105
Open Access | Times Cited: 4

Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Data (2024) Vol. 9, Iss. 5, pp. 69-69
Open Access | Times Cited: 3

Research on the Rheological Characteristics of Wind Power Grease Based on Rheological Parameters
Han Peng, Songyin Li, Linjian Shangguan, et al.
Lubricants (2023) Vol. 11, Iss. 7, pp. 299-299
Open Access | Times Cited: 8

Wind Turbine Condition Monitoring Using the SSA-Optimized Self-Attention BiLSTM Network and Changepoint Detection Algorithm
Junshuai Yan, Yongqian Liu, Li Li, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5873-5873
Open Access | Times Cited: 5

A Fault Prediction Method for CNC Machine Tools Based on SE-ResNet-Transformer
Zhidong Wu, Liansheng He, Wei Wang, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 418-418
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

Online Condition Monitoring of Industrial Loads Using AutoGMM and Decision Trees
Elia Brescia, Patrizia Vergallo, Pietro Serafino, et al.
Machines (2023) Vol. 11, Iss. 12, pp. 1082-1082
Open Access | Times Cited: 2

Dynamic Condition Adversarial Adaptation for Fault Diagnosis of Wind Turbine Gearbox
Hongpeng Zhang, Xinran Wang, Cunyou Zhang, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9368-9368
Open Access | Times Cited: 2

Fault Detection in Machine Bearings Using Deep Learning
A. Vaishnavi, Anju Sharma, Vps Naidu
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access

Evaluation Metrics: A Review of Decision Methods for Vibration Based Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
(2024), pp. 1-6
Closed Access

Development of compact smart bearing and novel hybrid feature assessment for weak defect identification
Yu Xiao, Di Song, Nan Wu
Nondestructive Testing And Evaluation (2024), pp. 1-27
Closed Access

Fault Precognition System for Remaining Useful Life Estimation in Bearing Systems Using Autoencoder-LSTM and Clustering Techniques
Pooja Kamat
Journal Européen des Systèmes Automatisés (2024) Vol. 57, Iss. 6, pp. 1721-1728
Closed Access

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