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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:

Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem
Anass Akrim, Christian Gogu, Rob Vingerhoeds, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105837-105837
Open Access | Times Cited: 24

Showing 24 citing articles:

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 91
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Huiqin Li, Zhengxin Zhang, Tianmei Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111120-111120
Closed Access | Times Cited: 65
Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts
Mohammed Majid Abdulrazzaq, Nehad T. A. Ramaha, Alaa Ali Hameed, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 758-758
Open Access | Times Cited: 14
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
Self-supervised learning-based multi-source spectral fusion for fruit quality evaluation:a case study in mango fruit ripeness prediction
Liu Zhang, Jincun Liu, Yaoguang Wei, et al.
Information Fusion (2024), pp. 102814-102814
Closed Access | Times Cited: 7
Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning
Yan‐Hui Lin, Liang Chang, Lu-Xin Guan
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110167-110167
Closed Access | Times Cited: 5
A meta-transfer learning prediction method with few-shot data for the remaining useful life of rolling bearing
Daoming She, Yudan Duan, Zhichao Yang, et al.
Structural Health Monitoring (2025)
Closed Access
Time-frequency synchronisation contrastive learning-driven multi-sensor remaining useful life prediction
Li Jiang, Miaojun Wang, Peng-Sheng You, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-28
Closed Access
XGBoost and genetic programming methods for analysing the vitreous transition of the epoxy adhesive
Songbo Wang, Yaqiong Cai, Jun Su, et al.
Journal of Adhesion Science and Technology (2025), pp. 1-26
Closed Access
TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
Control Engineering Practice (2024) Vol. 146, pp. 105900-105900
Closed Access | Times Cited: 3
Intelligent fatigue damage tracking and prognostics of composite structures utilizing raw images via interpretable deep learning
Panagiotis Komninos, A.E.C. Verraest, Nick Eleftheroglou, et al.
Composites Part B Engineering (2024), pp. 111863-111863
Open Access | Times Cited: 3
Maize seed variety identification using hyperspectral imaging and self-supervised learning: A two-stage training approach without spectral preprocessing
Liu Zhang, Shubin Zhang, Jincun Liu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122113-122113
Closed Access | Times Cited: 10
Self-supervised domain adaptation for machinery remaining useful life prediction
Quy Le Xuan, Marco Munderloh, Jörn Östermann
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110296-110296
Open Access | Times Cited: 2
Self-Supervised Learning-Based Multi-Source Spectral Fusion for Fruit Quality Evaluation:A Case Study in Mango Fruit Ripeness Prediction
Liu Zhang, Jincun Liu, Yaoguang Wei, et al.
(2024)
Closed Access | Times Cited: 2
Remaining useful life prediction of pipelines considering the crack coupling effect using genetic algorithm-back propagation neural network
Mingjiang Xie, Ziqi Wei, Jianli Zhao, et al.
Thin-Walled Structures (2024) Vol. 204, pp. 112330-112330
Closed Access | Times Cited: 2
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109268-109268
Closed Access | Times Cited: 2
A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency
Jinwoo Song, Seong Hee Cho, Seokgoo Kim, et al.
Aerospace (2024) Vol. 11, Iss. 9, pp. 741-741
Open Access | Times Cited: 1
Enhancing industrial prognostic accuracy in noisy and missing data context: assessing multimodal learning performance
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Data-Driven Predictive Maintenance Policy Based on Dynamic Probability Distribution Prediction of Remaining Useful Life
Shulian Xie, Feng Xue, Weimin Zhang, et al.
Machines (2023) Vol. 11, Iss. 10, pp. 923-923
Open Access | Times Cited: 4
Remaining Useful Life Prediction of a Planetary Gearbox Based on Meta Representation Learning and Adaptive Fractional Generalized Pareto Motion
Hongqing Zheng, Wujin Deng, Wanqing Song, et al.
Fractal and Fractional (2023) Vol. 8, Iss. 1, pp. 14-14
Open Access | Times Cited: 4
Investigating merits of deep self-supervised learning on a fatigue RUL prognostics application
João Vitor Guedes Ezaquiel Aguiar, Christian Gogu
IEEE Aerospace Conference (2024), pp. 1-8
Closed Access
Human-Centered Edge Artificial Intelligence for Smart Factory Applications in Industry 5.0: A Review and Perspective
Le Hoang Nguyen, Kim Duc Tran, Xianyi Zeng, et al.
Springer series in reliability engineering (2024), pp. 79-100
Closed Access
Generative Adversarial Networks for Improved Model Training in the Context of the Digital Twin
María Megía, Francisco Javier Melero, Manuel Chiachío, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
Generative and self‐supervised ensemble modeling for multivariate tool wear monitoring
Oroko Joanes Agung', Kimotho James, Kabini Samuel, et al.
Engineering Reports (2023) Vol. 6, Iss. 6
Open Access | Times Cited: 1
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