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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:

Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)
Telmo Fernández De Barrena Sarasola, Juan Luís Ferrando, Ander García, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 4027-4045
Open Access | Times Cited: 17

Showing 17 citing articles:

Artificial intelligence-based data-driven prognostics in industry: A survey
Mohamed A. El-Brawany, Dina A. Ibrahim, Hamdy K. Elminir, et al.
Computers & Industrial Engineering (2023) Vol. 184, pp. 109605-109605
Closed Access | Times Cited: 21
Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning
K. Devarajan, T. Mohanraj, Pavan Pradeep, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 4, pp. 42-42
Open Access | Times Cited: 4
Estimation of surface quality for turning operations using machine learning approach
Avinash Dewangan, Venkata Swamy Naidu Neigapula, Dheeraj Lal Soni, et al.
Tribology - Materials Surfaces & Interfaces (2024) Vol. 18, Iss. 3, pp. 228-242
Closed Access | Times Cited: 2
Tool condition monitoring of diamond-coated burrs with acoustic emission utilising machine learning methods
Thomas Howard Jessel, Carl Byrne, Mark Eaton, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 3-4, pp. 1107-1124
Open Access | Times Cited: 6
IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI
Telmo Fernández De Barrena Sarasola, Ander García, Juan Luís Ferrando
International Journal of Cloud Applications and Computing (2024) Vol. 14, Iss. 1, pp. 1-30
Open Access | Times Cited: 1
An online prediction method of three-dimensional machining residual stress field based on IncepU-net
Yufeng Wang, Zhengcai Zhao, Wenfeng Ding, et al.
Measurement (2024) Vol. 242, pp. 115794-115794
Closed Access | Times Cited: 1
Reliability analysis of cutting tools using transformed inverse Gaussian process-based wear modelling considering parameter dependence
Monojit Das, V.N.A. Naikan, Subhash Chandra Panja
Probabilistic Engineering Mechanics (2024) Vol. 78, pp. 103698-103698
Closed Access | Times Cited: 1
Unlocking Dual Utility: 1D-CNN for Milling Tool Health Assessment and Experimental Optimization
Ghazal Farhani, S. Kurukuri, Ryan Myers, et al.
IEEE Access (2024) Vol. 12, pp. 105096-105107
Open Access
A review of cutting tool life prediction through flank wear monitoring
Monojit Das, V.N.A. Naikan, Subhash Chandra Panja
International Journal of Quality & Reliability Management (2024)
Closed Access
An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals
Antonio Nappa, Juan Luís Ferrando, Izar Azpiroz, et al.
Communications in computer and information science (2024), pp. 28-40
Closed Access
SortAlign : a score-based aggregation technique for neural networks in one-round federated learning
Antonio Nappa, Oihan Joyot, Izar Azpiroz, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
A Method for Predicting Tool Remaining Useful Life: Utilizing BiLSTM Optimized by an Enhanced NGO Algorithm
Jianwei Wu, Jiaqi Wang, Huanguo Chen
Mathematics (2024) Vol. 12, Iss. 15, pp. 2404-2404
Open Access
Exploring the Processing Paradigm of Input Data for End-to-End Deep Learning in Tool Condition Monitoring
Chengguan Wang, Guangping Wang, Tao Wang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5300-5300
Open Access
Novel spectral indices and transfer learning model in estimat moisture status across winter wheat and summer maize
Zongpeng Li, Qian Cheng, Li Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109762-109762
Closed 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
Utilising Machine Learning for Tool Condition Monitoring of Diamond-Coated Burrs with Acoustic Emission
Thomas Howard Jessel, Carl Byrne, Mark Eaton, et al.
Research Square (Research Square) (2023)
Open Access
Towards Safer Online Communities: Deep Learning and Explainable Ai for Hate Speech Detection and Classification
Wazir Zada Khan, Hareem Kibriya, Ayesha Siddiqa, et al.
(2023)
Closed Access
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