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:
Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process
Wenjian Lu, Yu Wang, Mingquan Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107350-107350
Closed Access | Times Cited: 14
Wenjian Lu, Yu Wang, Mingquan Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107350-107350
Closed Access | Times Cited: 14
Showing 14 citing articles:
An improved convolutional neural network for predicting porous media permeability from rock thin sections
Shuo Zhai, Shaoyang Geng, Chengyong Li, et al.
Gas Science and Engineering (2024) Vol. 127, pp. 205365-205365
Closed Access | Times Cited: 7
Shuo Zhai, Shaoyang Geng, Chengyong Li, et al.
Gas Science and Engineering (2024) Vol. 127, pp. 205365-205365
Closed Access | Times Cited: 7
Vibration-based anomaly pattern mining for remaining useful life (RUL) prediction in bearings
Pooja Kamat, Satish Kumar, Rekha Sugandhi
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 5
Closed Access | Times Cited: 5
Pooja Kamat, Satish Kumar, Rekha Sugandhi
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 5
Closed Access | Times Cited: 5
A two-stage remaining useful life prediction method based on adaptive feature metric and graph spatiotemporal attention rule learning
Shaoyang Liu, Jingfeng Wei, Guofa Li, et al.
Reliability Engineering & System Safety (2025), pp. 110802-110802
Closed Access
Shaoyang Liu, Jingfeng Wei, Guofa Li, et al.
Reliability Engineering & System Safety (2025), pp. 110802-110802
Closed Access
Few-shot remaining useful life prediction based on Bayesian meta-learning with predictive uncertainty calibration
Liang Chang, Yan‐Hui Lin
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109980-109980
Closed Access
Liang Chang, Yan‐Hui Lin
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109980-109980
Closed Access
Cross-domain remaining useful life prediction for rolling bearings based on wavelet decomposition and dynamic calibrated domain adaptive networks
Yazhou Zhang, Xiaoqiang Zhao, Zhenrui Peng, et al.
Measurement (2025), pp. 117278-117278
Closed Access
Yazhou Zhang, Xiaoqiang Zhao, Zhenrui Peng, et al.
Measurement (2025), pp. 117278-117278
Closed Access
Prediction Model Optimization of Gas Turbine Remaining Useful Life Based on Transfer Learning and Simultaneous Distillation Pruning Algorithm
Yu Zheng, Liang Chen, Xiangyu Bao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110562-110562
Closed Access | Times Cited: 3
Yu Zheng, Liang Chen, Xiangyu Bao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110562-110562
Closed Access | Times Cited: 3
Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions
Xuewu Pei, Liang Gao, Xinyu Li
Journal of Manufacturing Systems (2024) Vol. 75, pp. 213-227
Closed Access | Times Cited: 1
Xuewu Pei, Liang Gao, Xinyu Li
Journal of Manufacturing Systems (2024) Vol. 75, pp. 213-227
Closed Access | Times Cited: 1
Research and design of an expert diagnosis system for rail vehicle driven by data mechanism models
Lin Li, Jiushan Wang, Shilu Xiao
Railway Sciences (2024) Vol. 3, Iss. 4, pp. 480-502
Open Access
Lin Li, Jiushan Wang, Shilu Xiao
Railway Sciences (2024) Vol. 3, Iss. 4, pp. 480-502
Open Access
Review of rolling bearings performance degradation trend prediction
Yaping Wang, Kaiting Lu, Renquan Dong, et al.
Noise & Vibration Worldwide (2024)
Closed Access
Yaping Wang, Kaiting Lu, Renquan Dong, et al.
Noise & Vibration Worldwide (2024)
Closed Access
A model for remaining useful life interval prediction of servo turret power head system of turn-milling center under time-varying operating conditions
Jialong He, Chenchen Wu, Wanghao Shen, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110592-110592
Closed Access
Jialong He, Chenchen Wu, Wanghao Shen, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110592-110592
Closed Access
Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor
Chanin Panjapornpon, Patcharapol Chinchalongporn, Santi Bardeeniz, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109500-109500
Closed Access
Chanin Panjapornpon, Patcharapol Chinchalongporn, Santi Bardeeniz, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109500-109500
Closed Access
A Deep Learning-Based Framework for Bearing RUL Prediction to Optimize Laser Shock Peening Remanufacturing
Yuchen Liang, Yuqi Wang, An‐Ping Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10493-10493
Open Access
Yuchen Liang, Yuqi Wang, An‐Ping Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10493-10493
Open Access
Physics-Guided Deep Network for Milling Dynamics Prediction
Kunpeng Zhu, Jun Li
Engineering (2024)
Open Access
Kunpeng Zhu, Jun Li
Engineering (2024)
Open Access
Remaining useful life prediction for machinery using multimodal interactive attention spatial–temporal networks with deep ensembles
Yuanyuan Zhou, Hang Wang, Huaiwang Jin, et al.
Expert Systems with Applications (2024), pp. 125808-125808
Closed Access
Yuanyuan Zhou, Hang Wang, Huaiwang Jin, et al.
Expert Systems with Applications (2024), pp. 125808-125808
Closed Access
