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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:

Mechanical fault time series prediction by using EFMSAE-LSTM neural network
Jianwen Guo, Zhenpeng Lao, Ming Liang Hou, et al.
Measurement (2020) Vol. 173, pp. 108566-108566
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation
Min Xia, Haidong Shao, Xiandong Ma, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 10, pp. 7050-7059
Open Access | Times Cited: 238
Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM
Zhenpeng Lao, Deqiang He, Zexian Wei, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107219-107219
Closed Access | Times Cited: 64
Fault prediction of bearings based on LSTM and statistical process analysis
Junqiang Liu, Pan Chunlu, Lei Fan, et al.
Reliability Engineering & System Safety (2021) Vol. 214, pp. 107646-107646
Closed Access | Times Cited: 97
Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling
Mohsen Marani, Mohammadjavad Zeinali, Victor Songmené, et al.
Measurement (2021) Vol. 177, pp. 109329-109329
Closed Access | Times Cited: 82
Fault Detection of the Harmonic Reducer Based on CNN-LSTM With a Novel Denoising Algorithm
Zhuo Zhi, Liansheng Liu, Datong Liu, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 3, pp. 2572-2581
Closed Access | Times Cited: 71
Predictive Maintenance in the Automotive Sector: A Literature Review
Fabio Arena, Mario Collotta, Liliana Luca, et al.
Mathematical and Computational Applications (2021) Vol. 27, Iss. 1, pp. 2-2
Open Access | Times Cited: 66
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106092-106092
Closed Access | Times Cited: 39
Current Status and Prospects of Research on Sensor Fault Diagnosis of Agricultural Internet of Things
Xiuguo Zou, Wenchao Liu, Zhiqiang Huo, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2528-2528
Open Access | Times Cited: 23
Transformer based Kalman Filter with EM algorithm for time series prediction and anomaly detection of complex systems
Meng Ma, Liu Fu, Zhi Zhai, et al.
Measurement (2024) Vol. 229, pp. 114378-114378
Closed Access | Times Cited: 9
Predictive intelligence using ANFIS‐induced OWAWA for complex stock market prediction
Walayat Hussain, José M. Merigó, Muhammad Raheel Raza
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 8, pp. 4586-4611
Open Access | Times Cited: 42
Wavelet LSTM for Fault Forecasting in Electrical Power Grids
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stéfano Frizzo Stefenon, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8323-8323
Open Access | Times Cited: 37
Latest innovations in the field of condition-based maintenance of rotatory machinery: a review
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 022003-022003
Closed Access | Times Cited: 20
Adaptive staged remaining useful life prediction of roller in a hot strip mill based on multi-scale LSTM with multi-head attention
Ting Zhu, Zhen Chen, Di Zhou, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110161-110161
Closed Access | Times Cited: 6
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
HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks
Kyung Soo Kim, Yong Suk Choi
Sensors (2021) Vol. 21, Iss. 12, pp. 4054-4054
Open Access | Times Cited: 27
Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling
Xinggang Zhang, Jianzhong Yang, Ximing J. Yang
Processes (2023) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 11
Wavelet Long Short-Term Memory to Fault Forecasting in Electrical Power Grids
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stéfano Frizzo Stefenon, et al.
(2022)
Open Access | Times Cited: 17
A Deep Explainable Model for Fault Prediction Using IoT Sensors
Taha Mansouri, Sunil Vadera
IEEE Access (2022) Vol. 10, pp. 66933-66942
Open Access | Times Cited: 14
Performance degradation prediction model of rolling bearing based on self-checking long short-term memory network
Xiaosheng Lan, Yunfeng Li, Yuanhao Su, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 015016-015016
Closed Access | Times Cited: 13
Establishing a Real-Time Multi-Step Ahead Forecasting Model of Unbalance Fault in a Rotor-Bearing System
Banalata Bera, Chun‐Ling Lin, Shyh‐Chin Huang, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 312-312
Open Access | Times Cited: 7
Explainable fault prediction using learning fuzzy cognitive maps
Taha Mansouri, Sunil Vadera
Expert Systems (2023) Vol. 40, Iss. 8
Open Access | Times Cited: 7
Prediction of abnormal conditions for fused magnesium furnace based on improved LSTM model and rule-based reasoning
Dapeng Niu, Guangyang Lei
Measurement (2023) Vol. 218, pp. 113163-113163
Closed Access | Times Cited: 7
A Novel FD3 Framework for Carbon Emissions Prediction
Houtian He, Tongyan Liu, Qianqian Li, et al.
Environmental Modeling & Assessment (2023) Vol. 29, Iss. 3, pp. 455-469
Closed Access | Times Cited: 7
Drill Tools Sticking Prediction Based on Adaptive Long Short-Term Memory
Honglin Wu, Zhongbin Wang, Lei Si, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086134-086134
Closed Access | Times Cited: 2
Koopman operator for time-dependent reliability analysis
N. Navaneeth, Souvik Chakraborty
Probabilistic Engineering Mechanics (2022) Vol. 70, pp. 103372-103372
Open Access | Times Cited: 11
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