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:

Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning
T R Mahesh, Saravanan Chandrasekaran, Veerma Ram, et al.
IEEE Access (2024) Vol. 12, pp. 45381-45397
Open Access | Times Cited: 11

Showing 11 citing articles:

Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8

A Noise Invariant Method for Bearing Fault Detection and Diagnosis Using Adapted Local Binary Pattern (ALBP) and Short-Time Fourier Transform (STFT)
Hosna Geraei, Edgar Armando Vazquez Rodriguez, Ehsan Majma, et al.
IEEE Access (2024) Vol. 12, pp. 107247-107260
Open Access | Times Cited: 5

Enhanced Deep Learning Model for Automated Plant Disease Classification
Saravanan Chandrasekaran, Vladimír Rohan, B. Eswara Reddy, et al.
SSRN Electronic Journal (2025)
Closed Access

Detection and Classification of Rolling Bearing Defects Using Direct Signal Processing with Deep Convolutional Neural Network
Maciej Skowron, Oliwia Frankiewicz, Jeremi Jan Jarosz, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1722-1722
Open Access | Times Cited: 4

Advancing Sensor Data Integrity with Deep Learning-Based Fault Detection
N Siva Chintaiah, Modepalli Vignesh, K. V. Charan, et al.
International Research Journal of Multidisciplinary Scope (2024) Vol. 05, Iss. 02, pp. 374-386
Open Access | Times Cited: 1

Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes
Sheng Du, Zixin Huang, Li Jin, et al.
Algorithms (2024) Vol. 17, Iss. 12, pp. 569-569
Open Access | Times Cited: 1

A Low Cost IoT-Based Hybrid Multiscale CNN-LSTM Approach for Bearing Fault Diagnosis Using Low Sampling Rate Vibration Data
Seyed Mohammad Mahdi Moosavi, Sajad Khoshbakht, Hossein Taheri
(2024) Vol. 1, Iss. 2, pp. 113-125
Closed Access

Optimizing Deep Learning Based Approach for Brain Tumor Segmentation in Magnetic Resonance Imaging(MRI) Scans
MD AL Mahedi Hassan, Md Forkan Hossain Fahim, Roshan Kumar Jha, et al.
(2024), pp. 38-44
Closed Access

Weak Feature Extraction Method for Bearing Faults Under Low-speed Heavy-duty Conditions
Yong Li, Hongyao Zhang, Sencai Ma, et al.
IEEE Access (2024) Vol. 12, pp. 126033-126042
Open Access

Design of an Iterative Model for Fault Severity Classification Using CNN-LSTM and Attention Mechanisms
Shashi Rathore, Parul Sahare, Mayur Parate, et al.
(2024), pp. 1-29
Closed Access

Higher-Order Spectral Analysis and Artificial Intelligence for Diagnosing Faults in Electrical Machines: An Overview
Miguel Martínez, José A. Antonino-Daviu, Larisa Dunai, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 4032-4032
Open Access

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