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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.

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Showing 1-25 of 91 citing articles:

Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification
Yao Ding, Zhili Zhang, Xiaofeng Zhao, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119858-119858
Closed Access | Times Cited: 77
Diagnosis of Bearing Faults Using Temporal Vibration Signals: A Comparative Study of Machine Learning Models with Feature Selection Techniques
Alaa Abdulhady Jaber
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 2, pp. 752-768
Closed Access | Times Cited: 14
Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Omar AlShorman, Muhammad Irfan, Ra’ed Bani Abdelrahman, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107724-107724
Open Access | Times Cited: 24
Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques
Deva Chaitanya Sanakkayala, V. Vijayakumar, Namya Kumar, et al.
Micromachines (2022) Vol. 13, Iss. 9, pp. 1471-1471
Open Access | Times Cited: 30
Intelligent Bearing Fault Diagnosis Based on Feature Fusion of One-Dimensional Dilated CNN and Multi-Domain Signal Processing
Kaitai Dong, Ashkan Lotfipoor
Sensors (2023) Vol. 23, Iss. 12, pp. 5607-5607
Open Access | Times Cited: 17
Real-time adaptable fault analysis of rotating machines based on Marine predator algorithm optimised LightGBM approach
Duygu Bağcı Daş
Nondestructive Testing And Evaluation (2024), pp. 1-36
Closed Access | Times Cited: 5
Cross-device fault diagnosis of rolling bearings using domain generalization and dynamic model
Fengjin Gong, Ping Ma, Nini Wang, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 5
Enhanced multi-task learning models for pile drivability prediction: Leveraging metaheuristic algorithms and statistical evaluation
Zhenyu Wang, Jian Zhou, Kun Du, et al.
Transportation Geotechnics (2024) Vol. 47, pp. 101288-101288
Closed Access | Times Cited: 5
Rolling bearing fault diagnosis method based on mean singular value screening
Xiaochi Luan, Yanzheng Li, Yundong Sha, et al.
Journal of Mechanical Science and Technology (2025) Vol. 39, Iss. 1, pp. 13-26
Closed Access
Research on flexible weaving planning based on NSGA-II algorithm
Ning Dai, Wenkang Wu, Kaixin Xu, et al.
Journal of Industrial Textiles (2025) Vol. 55
Open Access
Defect attention-based lightweight real-time adaptable surface defect analysis
İbrahim Delibaşoğlu, Duygu Bağcı Daş, Oğuzhan Daş
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
Application of Machine Learning and Deep Learning in Gearbox Fault Diagnosis: A Comprehensive Review
Shubhangi Suryawanshi, Umesh Ghorpade, Digvijay G. Bhosale, et al.
Lecture notes in networks and systems (2025), pp. 343-353
Closed Access
Zero-Shot Compound Fault Diagnosis Method Based on Semantic Learning and Discriminative Features
Juan Xu, Haiqiang Zhang, Long Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
Real-time load forecasting model for the smart grid using bayesian optimized CNN-BiLSTM
Dao Hua Zhang, Xinxin Jin, Piao Shi, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 12
A new model for bearing fault diagnosis based on optimized variational mode decomposition correlation coefficient weight threshold denoising and entropy feature fusion
Jing Yang, Yanping Bai, Yunyun Cheng, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 18, pp. 17337-17367
Closed Access | Times Cited: 12
Multi-size wide kernel convolutional neural network for bearing fault diagnosis
Prashant Kumar, Izaz Raouf, Jinwoo Song, et al.
Advances in Engineering Software (2024) Vol. 198, pp. 103799-103799
Closed Access | Times Cited: 4
Intelligent Fault Diagnosis Method Based on VMD-Hilbert Spectrum and ShuffleNet-V2: Application to the Gears in a Mine Scraper Conveyor Gearbox
Weibing Wang, Shuai Guo, Shuanfeng Zhao, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4951-4951
Open Access | Times Cited: 11
RL-GCN: Traffic flow prediction based on graph convolution and reinforcement learning for smart cities
Hang Xing, An Chen, Xuan Zhang
Displays (2023) Vol. 80, pp. 102513-102513
Closed Access | Times Cited: 11
Mine water cooperative optimal scheduling based on improved genetic algorithm
Yang Liu, Zihang Zhang, Dongxu Zhu, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27289-e27289
Open Access | Times Cited: 3
A technical perspective on integrating artificial intelligence to solid-state welding
S. Yaknesh, Rajamurugu Natarajan, K.B. Prakash, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 9-10, pp. 4223-4248
Open Access | Times Cited: 3
More than spectrograms: Deep representation learning for machinery fault detection
Peter Wißbrock, Zhao Ren, David Pelkmann
Applied Acoustics (2024) Vol. 225, pp. 110178-110178
Closed Access | Times Cited: 3
Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model
Jie Wang, Yanting Xu, Jinghong Tian, et al.
Entropy (2022) Vol. 24, Iss. 12, pp. 1715-1715
Open Access | Times Cited: 14
Convolutional Neural Network Based Two-Layer Transfer Learning for Bearing Fault Diagnosis
Wanpeng Zhang, Peng Zhang, Xiaohan He, et al.
IEEE Access (2022) Vol. 10, pp. 109779-109794
Open Access | Times Cited: 13
Research on Gearbox Fault Diagnosis Method Based on VMD and Optimized LSTM
Bangcheng Zhang, Shiqi Sun, Xiaojing Yin, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11637-11637
Open Access | Times Cited: 7
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