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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:

IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109387-109387
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111142-111142
Closed Access | Times Cited: 30
Deep dynamic high-order graph convolutional network for wear fault diagnosis of hydrodynamic mechanical seal
Xinglin Li, Luofeng Xie, Bo Deng, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110117-110117
Closed Access | Times Cited: 22
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12
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
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 7
Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy
Qikang Li, Baoping Tang, Lei Deng, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109468-109468
Closed Access | Times Cited: 19
LSTA-Net framework: Pioneering intelligent diagnostics for insulating bearings under real-world complex operational conditions and its interpretability
Tongguang Yang, Guanchen Li, Yicheng Duan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111779-111779
Closed Access | Times Cited: 7
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications
Song Fu, Limin Zou, Yue Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110246-110246
Closed Access | Times Cited: 5
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5
CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification
Thomas Joseph, U. Sudeep, K. Keerthi Krishnan
Journal of Mechanical Science and Technology (2025)
Closed Access
Dynamic Model-driven Dictionary Learning-inspired Domain Adaptation Strategy for Cross-domain Bearing Fault Diagnosis
Zhengyu Du, Dongdong Liu, Lingli Cui
Reliability Engineering & System Safety (2025), pp. 110905-110905
Closed Access
Defect analysis of 3D printed object using transfer learning approaches
Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124293-124293
Closed Access | Times Cited: 4
Trustworthy Bayesian Deep Learning Framework for Uncertainty Quantification and Confidence Calibration: Application in Machinery Fault Diagnosis
Hao Li, Jinyang Jiao, Zongyang Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110657-110657
Closed Access | Times Cited: 4
Energy consumption and workload prediction for edge nodes in the Computing Continuum
Sergio Laso, Pablo Rodríguez, Juan Luis Herrera, et al.
Sustainable Computing Informatics and Systems (2025), pp. 101088-101088
Closed Access
CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images
Ni Zhu, Ruiwen He, Zhiqiang Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110160-110160
Open Access
Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion
Yingying Ji, Jun Gao, Xing Shao, et al.
Nonlinear Dynamics (2025)
Closed Access
A novel temporal domain adaptation framework for residential electricity consumption forecasting under incomplete information
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions
Kyumin Na, Yunhan Kim, Heonjun Yoon, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122078-122078
Closed Access | Times Cited: 9
Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders
Cihan Ateş, Tobias Höfchen, Mario Witt, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9212-9212
Open Access | Times Cited: 9
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion
Sheng Li, Ke Feng, Yadong Xu, et al.
Information Fusion (2024) Vol. 110, pp. 102453-102453
Closed Access | Times Cited: 3
Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions
Linfeng Deng, Yuanwen Zhang, Cheng Zhao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086106-086106
Closed Access | Times Cited: 2
Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions
Lin Zhu, Jin Wang, Min Chen, et al.
Expert Systems with Applications (2024), pp. 125441-125441
Closed Access | Times Cited: 2
A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis
Jiale Liu, Huan Wang
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109873-109873
Closed Access | Times Cited: 6
A Multi-scale Convolutional Autoencoder with Attention Mechanism for Fault Diagnosis of Rotating Machinery
Zihao Lei, Hongguang Yun, Feiyu Tian, et al.
Springer eBooks (2024), pp. 601-617
Closed Access | Times Cited: 1
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