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:

Fault diagnosis of offshore wind turbines based on component separable synchroextracting transform
Lingli Cui, Jiahui Chen, Dongdong Liu, et al.
Ocean Engineering (2023) Vol. 291, pp. 116275-116275
Open Access | Times Cited: 20

Showing 20 citing articles:

A Novel Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings
Lingli Cui, Wenjie Li, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 16

Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets
Lingli Cui, Zhilin Dong, Hai Xu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102322-102322
Closed Access | Times Cited: 32

Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10

Synchronous odd symmetric transform for rolling bearing fault diagnosis
Lingli Cui, Haibo Wang, Dezun Zhao, et al.
Measurement (2024) Vol. 226, pp. 114184-114184
Closed Access | Times Cited: 8

Single-trend component extraction for fault diagnosis of rotating machinery under time-varying speed conditions
Long Yan, Dezun Zhao, Lingli Cui
Measurement (2025), pp. 117302-117302
Closed Access

LTFM-net framework: Advanced intelligent diagnostics and interpretability of insulated bearing faults in offshore wind turbines under complex operational conditions
Tongguang Yang, Lingli Jiang, Yufei Guo, et al.
Ocean Engineering (2024) Vol. 309, pp. 118533-118533
Closed Access | Times Cited: 5

An Adaptive Sparse Graph Learning Method Based on Digital Twin Dictionary for Remaining Useful Life Prediction of Rolling Element Bearings
Lingli Cui, Xin Wang, Dongdong Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 10892-10900
Closed Access | Times Cited: 4

Study on NLESO-based Sliding Mode Control for Offshore Wind Turbine MPPT with Offshore Crane-Assisted
Yaojie Zheng, Xiangyang Cao, Hanbin Xiao, et al.
Journal of Engineering Research (2025)
Open Access

A new multiple mixed augmentation-based transfer learning method for machinery fault diagnosis
Hangqi Ge, Changqing Shen, Xinhai Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086141-086141
Open Access | Times Cited: 3

A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment
Yuanhao Du, Xiuli Geng, Qingchao Zhou, et al.
Ocean Engineering (2024) Vol. 312, pp. 119101-119101
Closed Access | Times Cited: 2

Imbalanced Learning for Gearbox Fault Detection via Attention-based Multireceptive Field Convolutional Neural Networks with An Adaptive Label Regulation Loss
Yadong Xu, Rui Shu, Sheng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1

Advancing automobile dry clutch fault diagnosis through innovative imaging techniques and Vision transformer integration
Prasshanth Chennai Viswanathan, Anurag Banerjee, Naveen Venkatesh Sridharan, et al.
Measurement (2024), pp. 115975-115975
Closed Access | Times Cited: 1

Tacholess Order Tracking Method Based on STFrFT for Fault Diagnosis of Wind Turbine Gearbox Under Variable Operating Conditions
Shaokang Liu, Changliang Liu, Yingjie Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access

A novel generalized Vold-Kalman filtering for wind turbine fault diagnosis
Dongdong Liu, Lingli Cui, Jiahui Chen
Ocean Engineering (2024) Vol. 308, pp. 118317-118317
Closed Access

Innovative Strategies for Wind Turbine Reliability: Leveraging Vibration Data for Early Prognosis
Khushi Mittal, Kanwarpartap Singh Gill, Sonal Malhotra, et al.
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2024), pp. 1-6
Closed Access

Innovations in Wind Turbine System Monitoring for Enhanced Early Detection and Prediction
Khushi Mittal, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024), pp. 1-6
Closed Access

YOLOv8-WTDD: multi-scale defect detection algorithm for wind turbines
Xiaoyan Yu, Yan Peng, Shuhan Zheng, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access

Enhancing Wind Turbine Lifespan using Novel Vibration Sensor Data Techniques for Prognosis
Ruchika Bhuria, Kanwarpartap Singh Gill, Kapil Rajput, et al.
(2024), pp. 1217-1222
Closed Access

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