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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:

Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data
Yanting Li, Wenbo Jiang, Guangyao Zhang, et al.
Renewable Energy (2021) Vol. 171, pp. 103-115
Closed Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization
Shengnan Tang, Yong Zhu, Shouqi Yuan
ISA Transactions (2022) Vol. 129, pp. 555-563
Closed Access | Times Cited: 121
A systematic review of data-driven approaches to fault diagnosis and early warning
Jieyang Peng, Andreas Kimmig, Dongkun Wang, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 8, pp. 3277-3304
Closed Access | Times Cited: 87
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104059-104059
Open Access | Times Cited: 86
Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation
Dezun Zhao, Honghao Wang, Lingli Cui
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111112-111112
Closed Access | Times Cited: 62
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 58
Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning
Yongchao Zhu, Caichao Zhu, Jianjun Tan, et al.
Renewable Energy (2022) Vol. 189, pp. 90-103
Closed Access | Times Cited: 49
An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion
Zifei Xu, Musa Bashir, Wanfu Zhang, et al.
Information Fusion (2022) Vol. 86-87, pp. 17-29
Open Access | Times Cited: 48
A Review of Research on Wind Turbine Bearings’ Failure Analysis and Fault Diagnosis
Han Peng, Hai Zhang, Yisa Fan, et al.
Lubricants (2022) Vol. 11, Iss. 1, pp. 14-14
Open Access | Times Cited: 46
An unsupervised chatter detection method based on AE and merging GMM and K-means
Bo Liu, Changfu Liu, Zhou Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109861-109861
Closed Access | Times Cited: 44
A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis
Shaowei Liu, Hongkai Jiang, Yanfeng Wang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101598-101598
Closed Access | Times Cited: 40
Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review
Md Roman Bhuiyan, Jia Uddin
Vibration (2023) Vol. 6, Iss. 1, pp. 218-238
Open Access | Times Cited: 38
Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data
Shilin Sun, Wenyang Hu, Yuekai Liu, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119891-119891
Closed Access | Times Cited: 27
A multi-learner neural network approach to wind turbine fault diagnosis with imbalanced data
Shilin Sun, Tianyang Wang, Fulei Chu
Renewable Energy (2023) Vol. 208, pp. 420-430
Closed Access | Times Cited: 26
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems
Wenzhen Xie, Te Han, Zhongyi Pei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106707-106707
Closed Access | Times Cited: 23
Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark
Zakaria Zemali, Lakhmissi Cherroun, Nadji Hadroug, et al.
Renewable Energy (2023) Vol. 205, pp. 873-898
Closed Access | Times Cited: 21
A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions
Biliang Lu, Ali Dibaj, Zhen Gao, et al.
Ocean Engineering (2024) Vol. 296, pp. 116902-116902
Closed Access | Times Cited: 12
Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines
Ruxu Yue, Guoqian Jiang, Xiaohang Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-17
Closed Access | Times Cited: 9
Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review
Mohamed Benbouzid, Tarek Berghout, Nur Sarma, et al.
Energies (2021) Vol. 14, Iss. 18, pp. 5967-5967
Open Access | Times Cited: 41
Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil
Sunwoong Yang, Sanga Lee, Kwanjung Yee
Engineering With Computers (2022) Vol. 39, Iss. 3, pp. 2239-2255
Open Access | Times Cited: 34
A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network
Guangyao Zhang, Yanting Li, Wenbo Jiang, et al.
Neurocomputing (2022) Vol. 481, pp. 133-153
Closed Access | Times Cited: 34
Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review
Arturo Yosimar Jaen-Cuéllar, David A. Elvira-Ortiz, Roque A. Osornio‐Rios, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5404-5404
Open Access | Times Cited: 32
Vis-NIR hyperspectral imaging combined with incremental learning for open world maize seed varieties identification
Liu Zhang, Dong Wang, Jincun Liu, et al.
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107153-107153
Closed Access | Times Cited: 30
Current and future role of data fusion and machine learning in infrastructure health monitoring
Hao Wang, Giorgio Barone, Alister Smith
Structure and Infrastructure Engineering (2023) Vol. 20, Iss. 12, pp. 1853-1882
Open Access | Times Cited: 21
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