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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:

An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery
Yijiao Liu, Mingying Huo, Q. Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Multi-scale Deep Subspace Clustering Network with Hierarchical Fusion Mechanism for Mechanical Fault Diagnosis
Gang Wang, Mingfeng Lu
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 1
Simulation data-driven attention fusion network with multi-similarity metric: A single-domain generalization diagnostic method for tie rod bolt loosening of a rod-fastening rotor system
Chen Zhou, Jun He, Xin Xiong, et al.
Measurement (2024) Vol. 240, pp. 115565-115565
Closed Access | Times Cited: 1
MRNet: Rolling bearing fault diagnosis in noisy environment based on multi-scale residual convolutional network
Linfeng Deng, Cheng Zhao, Xiaoqiang Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126136-126136
Closed Access | Times Cited: 1
Lightweight Bearing Fault Diagnosis Method Based on Improved Residual Network
Lei Gong, Chongwen Pang, Guoqiang Wang, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3749-3749
Open Access | Times Cited: 1
Statistical Study on the Time Characteristics of the Transient EMD Excitation Current from the Pantograph–Catenary Arcing Discharge
Mengzhe Jin, Shaoqian Wang, Shanghe Liu, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1262-1262
Open Access | Times Cited: 3
Multisensor-Driven Cross-Domain Motor Fault Diagnosis Based on Multibasis Energy Pattern
Xiaofei Zhang, Xin Peng, Yinpeng Qu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19660-19669
Closed Access | Times Cited: 3
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines
Wenjie Li, Xiangpeng Liu, D.H. Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121797-121797
Closed Access | Times Cited: 2
Joint Category Compactness and Disturbance Reduction for Cross-Domain Classification
Lin Jiang, Jigang Wu, Shuping Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Advances in inter-edge transfer learning with self-curriculum-labeling adaptive learning and lightweight attention
Jirayu Petchhan, Shun‐Feng Su
Computers & Electrical Engineering (2024) Vol. 116, pp. 109201-109201
Closed Access
A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings
Owen H.T. Lu
Expert Systems with Applications (2024) Vol. 254, pp. 124297-124297
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
TSMDA: intelligent fault diagnosis of rolling bearing with two stage multi-source domain adaptation
Qianqian Zhang, Zhongwei Lv, Caiyun Hao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116112-116112
Closed Access
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems
Yu Sha, Shuiping Gou, Bo Liu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5657-5668
Closed Access
Comprehensive feature integrated capsule network for Machinery fault diagnosis
Huangkun Xing, Xingxing Jiang, Qiuyu Song, et al.
Expert Systems with Applications (2024), pp. 125450-125450
Closed Access
A Multi-Scale Convolutional Neural Network with Self-Knowledge Distillation for Bearing Fault Diagnosis
Jiamao Yu, Hexuan Hu
Machines (2024) Vol. 12, Iss. 11, pp. 792-792
Open Access
Domain-invariant feature exploration for intelligent fault diagnosis under unseen and time-varying working conditions
Zehui Hua, Juanjuan Shi, Patrick Dumond
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112193-112193
Closed Access
Fault frequency band segmentation and domain adaptation with Fault simulated signal for Fault diagnosis of rolling element bearings
Jongmin Park, Jinoh Yoo, Tae-Hyung Kim, et al.
Journal of Computational Design and Engineering (2024) Vol. 12, Iss. 1, pp. 34-52
Open Access
Intelligent fault diagnosis via unsupervised domain adaptation: The role of intermediate domain construction
Peng Cao, Jun Yang, Jinyin Jia, et al.
Knowledge-Based Systems (2024), pp. 112766-112766
Closed Access
Modified Time-Domain Features for Permanent Magnet Synchronous Motor Bearing Fault Detection Using Current Signal
G Geetha, P. Geethanjali
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2023), pp. 1-6
Closed Access
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