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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.

Requested Article:

Data-driven fault diagnosis method based on the conversion of erosion operation signals into images and convolutional neural network
Zhijian Wang, Wenlei Zhao, Wenhua Du, et al.
Process Safety and Environmental Protection (2021) Vol. 149, pp. 591-601
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 42
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition
Wenlei Zhao, Zhijian Wang, Wenan Cai, et al.
Measurement (2021) Vol. 188, pp. 110511-110511
Closed Access | Times Cited: 82
Rolling bearing fault diagnosis based on information fusion and parallel lightweight convolutional network
Yang Guan, Zong Meng, Dengyun Sun, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 811-821
Closed Access | Times Cited: 38
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data
Zenghui An, Xingxing Jiang, Jing Cao, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107374-107374
Closed Access | Times Cited: 52
Transferable graph features-driven cross-domain rotating machinery fault diagnosis
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109069-109069
Closed Access | Times Cited: 31
Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis
Jiedi Sun, Zhao Liu, Jiangtao Wen, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105498-105498
Closed Access | Times Cited: 28
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI
Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109503-109503
Closed Access | Times Cited: 5
Calibration-Augmented and Mechanism-Driven Deep Learning Hybrid Framework for Modeling Actual Distillation Processes
R. Zuo, Yue Li, Shun’an Wei, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
A temporal domain generalization method for PM concentration prediction based on adversarial training and deep variational information bottleneck
Miaoxuan Shan, Chunlin Ye, Peng Chen, et al.
Atmospheric Pollution Research (2025), pp. 102472-102472
Closed Access
Correlation between microstructures and macroscopic properties of nickel/yttria-stabilized zirconia (Ni-YSZ) anodes: Meso-scale modeling and deep learning with convolutional neural networks
Xuhao Liu, Shihao Zhou, Zilin Yan, et al.
Energy and AI (2021) Vol. 7, pp. 100122-100122
Open Access | Times Cited: 35
Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning
Huan Li, Yong Lv, Rui Yuan, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 014009-014009
Closed Access | Times Cited: 26
Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes
Zhenyu Deng, Te Han, Zhonghai Cheng, et al.
Process Safety and Environmental Protection (2022) Vol. 160, pp. 327-340
Closed Access | Times Cited: 25
Multi-Channel vibration signals fusion based on rolling bearings and MRST-Transformer fault diagnosis model
Xiaoguang Wu, Huadong Peng, Xingyue Cui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16336-16346
Closed Access | Times Cited: 4
A knowledge-graph enhanced large language model-based fault diagnostic reasoning and maintenance decision support pipeline towards industry 5.0
Yunfei Ma, Shuai Zheng, Zheng Yang, et al.
International Journal of Production Research (2025), pp. 1-22
Closed Access
Ship pipeline defect detection method based on deep learning and transfer fusion of ultrasonic guided wave signals
Ruoli Tang, Yongzhe Li, Shangyu Zhang
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
An integrated LSTM-AM and SPRT method for fault early detection of forced-oxidation system in wet flue gas desulfurization
Chunbo Pang, Dawei Duan, Zhiying Zhou, et al.
Process Safety and Environmental Protection (2022) Vol. 160, pp. 242-254
Closed Access | Times Cited: 19
Safety and reliability analysis of the solid propellant casting molding process based on FFTA and PSO-BPNN
Yubo Bi, Shilu Wang, Changshuai Zhang, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 528-538
Closed Access | Times Cited: 19
Signal Denoising Based on Wavelet Threshold Denoising and Optimized Variational Mode Decomposition
Hongping Hu, Yan Ao, Huichao Yan, et al.
Journal of Sensors (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 26
A Novel Rolling Bearing Fault Diagnosis Method Based on Adaptive Feature Selection and Clustering
Jingbao Hou, Yunxin Wu, Abdulrahaman Shuaibu Ahmad, et al.
IEEE Access (2021) Vol. 9, pp. 99756-99767
Open Access | Times Cited: 23
Heterogeneous information network embedding based on multiperspective metapath for question routing
Lingfei Qian, Jian Wang, Hongfei Lin, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 107842-107842
Closed Access | Times Cited: 16
Optimization of dilated convolution networks with application in remaining useful life prediction of induction motors
Likang Zheng, Ye He, Xiaoan Chen, et al.
Measurement (2022) Vol. 200, pp. 111588-111588
Closed Access | Times Cited: 16
A Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network
Baiyang Wang, Guifang Feng, Dongyue Huo, et al.
Processes (2022) Vol. 10, Iss. 7, pp. 1426-1426
Open Access | Times Cited: 16
A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network
Ruofan Wang, Qiguang He, Chunxiao Han, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 10
T-type inverter fault diagnosis based on GASF and improved AlexNet
Yabo Cui, Rongjie Wang, Yupeng Si, et al.
Energy Reports (2023) Vol. 9, pp. 2718-2731
Open Access | Times Cited: 9
Novel aeroengine fault diagnosis method based on feature amplification
Lin Lin, Wenhui He, Song Fu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106093-106093
Closed Access | Times Cited: 9
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