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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:

A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
Kaiyu Zhang, Jinglong Chen, Tianci Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 55, pp. 273-284
Closed Access | Times Cited: 84

Showing 26-50 of 84 citing articles:

A data-driven approach to RUL prediction of tools
Wei Li, Liangchi Zhang, Chuhan Wu, et al.
Advances in Manufacturing (2023) Vol. 12, Iss. 1, pp. 6-18
Closed Access | Times Cited: 16
Computer numerical control machine tool wear monitoring through a data-driven approach
Fawzi Gougam, Adel Afia, Mohamed Abdessamed Ait Chikh, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 2
Open Access | Times Cited: 5
Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift
Yong Feng, Jinglong Chen, Shuilong He, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 6, pp. 3082-3096
Closed Access | Times Cited: 38
Differentiable neural architecture search augmented with pruning and multi-objective optimization for time-efficient intelligent fault diagnosis of machinery
Kaiyu Zhang, Jinglong Chen, Shuilong He, et al.
Mechanical Systems and Signal Processing (2021) Vol. 158, pp. 107773-107773
Closed Access | Times Cited: 37
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition
Kaiyu Zhang, Jinglong Chen, Shuilong He, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 1-16
Closed Access | Times Cited: 33
MIM-Graph: A multi-sensor network approach for fault diagnosis of HSR Bogie bearings at the IoT edge via mutual information maximization
Wenqing Wan, Jinglong Chen, Jingsong Xie
ISA Transactions (2023) Vol. 139, pp. 574-585
Closed Access | Times Cited: 13
Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind
Hamid Gholami, Aliakbar Mohammadifar, Reza Dahmardeh Behrooz, et al.
Environmental Pollution (2023) Vol. 342, pp. 123082-123082
Closed Access | Times Cited: 13
Wavelet-driven differentiable architecture search for planetary gear fault diagnosis
Yanghu Wang, Zheng Zhou, Laihao Yang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 587-593
Closed Access | Times Cited: 4
A clustered federated learning framework for collaborative fault diagnosis of wind turbines
Rui Zhou, Yanting Li, Xinhua Lin
Applied Energy (2024) Vol. 377, pp. 124532-124532
Closed Access | Times Cited: 4
Multi-source Adversarial Domain Adaptive Fault Diagnosis Method Based on Multi-classifier Alignment
Zhiwei Zheng, Yu He, Tianyu Ma, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
Mechanical fault diagnosis based on combination of sparsely connected neural networks and a modified version of social network search
Shang Xu
Egyptian Informatics Journal (2025) Vol. 29, pp. 100633-100633
Open Access
Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied With Insufficient Samples
Yuanhong Chang, Jinglong Chen, Wen‐Yang Wu, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 20, pp. 19811-19822
Closed Access | Times Cited: 19
Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection
Sebastian Meister, Mahdieu Wermes, Jan Stüve, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 620-639
Open Access | Times Cited: 26
Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions
Xining Zhang, Shuyu Liu, Lin Li, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 10, pp. 105027-105027
Closed Access | Times Cited: 24
A planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model
Rui Wu, Chao Liu, Te Han, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 024006-024006
Closed Access | Times Cited: 18
Modeling of municipal waste disposal behaviors related to meteorological seasons using recurrent neural network LSTM models
Kenneth K. Adusei, Kelvin Tsun Wai Ng, Nima Karimi, et al.
Ecological Informatics (2022) Vol. 72, pp. 101925-101925
Closed Access | Times Cited: 18
Multi-Information Fusion Fault Diagnosis of Bogie Bearing Under Small Samples via Unsupervised Representation Alignment Deep Q-Learning
Yan Zhu, Xifeng Liang, Tiantian Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-15
Closed Access | Times Cited: 17
Gearbox Fault Diagnosis Based on Gramian Angular Field and CSKD-ResNeXt
Yanlin Liu, Shuihai Dou, Yanping Du, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2475-2475
Open Access | Times Cited: 9
A Novel Multiscale Lightweight Fault Diagnosis Model Based on the Idea of Adversarial Learning
Ping Zhang, Guangrui Wen, Shuzhi Dong, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-15
Closed Access | Times Cited: 22
CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations
Yuanhong Chang, Jinglong Chen, Qiang Chen, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108026-108026
Closed Access | Times Cited: 20
Multi-mode non-Gaussian variational autoencoder network with missing sources for anomaly detection of complex electromechanical equipment
Qinyuan Luo, Jinglong Chen, Yanyang Zi, et al.
ISA Transactions (2022) Vol. 134, pp. 144-158
Closed Access | Times Cited: 14
Siamese multiscale residual feature fusion network for aero-engine bearing fault diagnosis under small-sample condition
Zhaoguo Hou, Huawei Wang, Shaolan Lv, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035109-035109
Closed Access | Times Cited: 14
Fault Diagnosis for High-Speed Train Axle-Box Bearing Using Simplified Shallow Information Fusion Convolutional Neural Network
Honglin Luo, Lin Bo, Chang Peng, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4930-4930
Open Access | Times Cited: 23
Research Progress and Development Trend of Prognostics and Health Management Key Technologies for Equipment Diesel Engine
Zichang Liu, Cuixuan Zhang, Enzhi Dong, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 1972-1972
Open Access | Times Cited: 7
A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains
Jie Li, Yu Wang, Yanyang Zi, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-12
Closed Access | Times Cited: 18

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