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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:

Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
Luca Biggio, Iason Kastanis
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Fusing physics-based and deep learning models for prognostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 107961-107961
Open Access | Times Cited: 258
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 139
Smart manufacturing powered by recent technological advancements: A review
Snehasis Sahoo, Cheng‐Yao Lo
Journal of Manufacturing Systems (2022) Vol. 64, pp. 236-250
Closed Access | Times Cited: 119
Maintenance optimization in industry 4.0
Luca Pinciroli, Piero Baraldi, Enrico Zio
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109204-109204
Open Access | Times Cited: 94
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 85
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access | Times Cited: 2
Machine learning based anomaly detection and classification of acoustic emission events for wear monitoring in sliding bearing systems
Florian König, Christopher Sous, Achraf Ouald Chaib, et al.
Tribology International (2020) Vol. 155, pp. 106811-106811
Closed Access | Times Cited: 107
Risk-based and predictive maintenance planning of engineering infrastructure: Existing quantitative techniques and future directions
Rouzbeh Abbassi, Ehsan Arzaghi, Mohammad Yazdi, et al.
Process Safety and Environmental Protection (2022) Vol. 165, pp. 776-790
Closed Access | Times Cited: 50
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Ke Xue, Jun Yang, Ming Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Closed Access | Times Cited: 31
Cross-scale data-based damage identification of CFRP laminates using acoustic emission and deep learning
Yuhang Liu, Kai Huang, Zhenxin Wang, et al.
Engineering Fracture Mechanics (2023) Vol. 294, pp. 109724-109724
Closed Access | Times Cited: 27
DVGTformer: A dual-view graph Transformer to fuse multi-sensor signals for remaining useful life prediction
Lei Wang, Hongrui Cao, Zhi‐Sheng Ye, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110935-110935
Closed Access | Times Cited: 24
A Model for Learning-Curve Estimation in Efficient Neural Architecture Search and Its Application in Predictive Health Maintenance
David Solis‐Martín, Juan Galán‐Paez, Joaquín Borrego-Dí­az
Mathematics (2025) Vol. 13, Iss. 4, pp. 555-555
Open Access | Times Cited: 1
Ageing-aware battery discharge prediction with deep learning
Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, et al.
Applied Energy (2023) Vol. 346, pp. 121229-121229
Open Access | Times Cited: 19
Reinforcement Learning in Process Industries: Review and Perspective
Oguzhan Dogru, Junyao Xie, Om Prakash, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 283-300
Closed Access | Times Cited: 6
Uncertainty-Aware Prognosis via Deep Gaussian Process
Luca Biggio, Alexander Wieland, Manuel Arias Chao, et al.
IEEE Access (2021) Vol. 9, pp. 123517-123527
Open Access | Times Cited: 35
Use of electrode displacement signals for electrode degradation assessment in resistance spot welding
Luigi Panza, Manuela De Maddis, Pasquale Russo Spena
Journal of Manufacturing Processes (2022) Vol. 76, pp. 93-105
Closed Access | Times Cited: 24
A hybrid framework for remaining useful life estimation of turbomachine rotor blades
B. R. Ellis, P. Stephan Heyns, Stephan Schmidt
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108805-108805
Open Access | Times Cited: 23
Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review
Lorenzo Polverino, Raffaele Abbate, Pasquale Manco, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 16
A benchmark on uncertainty quantification for deep learning prognostics
Luis Basora, Arthur Viens, Manuel Arias Chao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110513-110513
Open Access | Times Cited: 5
AI-Driven Predictive Maintenance
Ramazan Ünlü, İsmet Söylemez
Springer tracts in nature-inspired computing (2024), pp. 207-233
Closed Access | Times Cited: 4
A GAN-Based Multi-Sensor Data Augmentation Technique for CNC Machine Tool Wear Prediction
Yuechi Jiang, Benny Drescher, Guoguang Yuan
IEEE Access (2023) Vol. 11, pp. 95782-95795
Open Access | Times Cited: 10
Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities
Jherson Bofill, Mideth Abisado, Jocelyn F. Villaverde, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7087-7087
Open Access | Times Cited: 9
Exploring Digital Twin-based Fault Monitoring: Challenges and Opportunities
Jherson Bofill, Mideth Abisado, Gabriel Avelino Sampedro
(2023)
Open Access | Times Cited: 8
Tool Condition Monitoring Using Machine Tool Spindle Current and Long Short-Term Memory Neural Network Model Analysis
Niko Turšič, Simon Klančnik
Sensors (2024) Vol. 24, Iss. 8, pp. 2490-2490
Open Access | Times Cited: 3
Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context
Peng Jian-gang, Guang Xia, Yue Li, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118379-118379
Closed Access | Times Cited: 13
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