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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:

M2FN: An end-to-end multi-task and multi-sensor fusion network for intelligent fault diagnosis
Jian Cui, Ping Xie, Xiao Wang, et al.
Measurement (2022) Vol. 204, pp. 112085-112085
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Measurement (2024) Vol. 232, pp. 114658-114658
Closed Access | Times Cited: 32
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 11
FW-UAV fault diagnosis based on knowledge complementary network under small sample
Yizong Zhang, Shaobo Li, Ansi Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111418-111418
Closed Access | Times Cited: 7
Multi-sensor bearing fault diagnosis based on evidential neural network with sensor weights and reliability
Peng Han, Zhiqiu Huang, Weiwei Li, et al.
Expert Systems with Applications (2025), pp. 126533-126533
Closed Access
Fault Diagnosis of Industrial Robot Based on Multi-Source Data Fusion and Channel Attention Convolutional Neural Networks
Yiwen Zhang, Zhao-Yan Zang, Xinming Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 82247-82260
Open Access | Times Cited: 4
A rolling bearing fault diagnosis method under insufficient samples condition based on MSLSTM transfer learning
Ping Zhang, Debo Liu
Journal of Vibroengineering (2025) Vol. 27, Iss. 1, pp. 93-107
Open Access
Multisensor Fusion on Hypergraph for Fault Diagnosis
Xunshi Yan, Zhengang Shi, Zhe Sun, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10008-10018
Open Access | Times Cited: 3
A modified federated Student’s t-based variational adaptive Kalman filter for multi-sensor information fusion
Shuanghu Qiao, Yunsheng Fan, Guofeng Wang, et al.
Measurement (2023) Vol. 222, pp. 113577-113577
Closed Access | Times Cited: 9
DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis
Xiaorui Shao, De Li, Ilkyeun Ra, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111609-111609
Closed Access | Times Cited: 3
A numerical simulation enhanced multi-task integrated learning network for fault detection in rotation vector reducers
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111525-111525
Closed Access | Times Cited: 3
Fault Diagnosis of Variable Speed Bearing Based on EMDOS-DCCNN Model
Xiaohu Zheng, Xi Liu, Chuangchuang Zhu, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 5, pp. 7193-7207
Closed Access | Times Cited: 7
A novel rolling bearing fault diagnosis method based on parameter optimization variational mode decomposition with feature weighted reconstruction and multi-target attention convolutional neural networks under small samples
Chaoqun Hu, Yonghua Li, Zhe Chen, et al.
Review of Scientific Instruments (2023) Vol. 94, Iss. 7
Closed Access | Times Cited: 6
A Fault Diagnosis Method With Bitask-Based Time- and Frequency-Domain Feature Learning
Qiang Zhang, Ruiping Huo, Handong Zheng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 6
CCFT: The Convolution and Cross-Fusion Transformer for Fault Diagnosis of Bearings
Tantao Lin, Yongsheng Zhu, Zhijun Ren, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 2161-2172
Closed Access | Times Cited: 4
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Resformer: An end-to-end framework for fault diagnosis of governor valve actuator in the coupled scenario of data scarcity and high noise
Yang Liu, Zhanpeng Jiang, Ning Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112125-112125
Closed Access | Times Cited: 1
Health state identification of circulating seawater pump-unit in nuclear power plant based on multi-virtual vibration source fusion in the presence of strong data imbalance
Song Liu, Xin Xiong, Yuanyuan Huang, et al.
Annals of Nuclear Energy (2023) Vol. 197, pp. 110280-110280
Closed Access | Times Cited: 3
Gas Sensor Array Fault Diagnosis Based on Multi-Dimensional Fusion, an Attention Mechanism, and Multi-Task Learning
Pengyu Huang, Qingfeng Wang, Haotian Chen, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7836-7836
Open Access | Times Cited: 2
A renewed adversarial network for bearing fault diagnosis based on vibro-acoustic signals under speed fluctuating conditions
Shuo Xing, Jinrui Wang, Baokun Han, et al.
Journal of Vibration and Control (2023) Vol. 30, Iss. 19-20, pp. 4612-4623
Open Access | Times Cited: 2
Fully automatic spinal scanning and measurement based on multi-source vision information
Cui Yang, Mianjie Chen, Hao Xu, et al.
Measurement (2023) Vol. 224, pp. 113955-113955
Closed Access | Times Cited: 2
Multi-source Heterogeneous Information Fusion Prototype Network Based on Compact-Sparse Representation for Rotating Machinery Few-Shot Fault Diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Mechanisms and machine science (2024), pp. 1183-1195
Closed Access
An Efficient Multisensor Hybrid Data Fusion Approach Based on Artificial Neural Networks and Particle Swarm Optimization Algorithms
Luc Eyembe Ihonock, Essiben Dikoundou Jean-François, Benjamin Salomon Diboma, et al.
International Journal of Distributed Sensor Networks (2024) Vol. 2024, Iss. 1
Open Access
A multi-objective UAV fault diagnosis framework based on attention joint multi-spatial shared knowledge
Xue An, Shaobo Li, Yizong Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Attention-Based Two-Stage Multi-Sensor Feature Fusion Method For Bearing Fault Diagnosis
Wei Zhang, Qiwei Xu, Yaowen Hu, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 6, pp. 8709-8721
Closed Access
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