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:

A Genetic Algorithm Optimized RNN-LSTM Model for Remaining Useful Life Prediction of Turbofan Engine
Kwok Tai Chui, Brij B. Gupta, Pandian Vasant
Electronics (2021) Vol. 10, Iss. 3, pp. 285-285
Open Access | Times Cited: 83

Showing 26-50 of 83 citing articles:

A Comparative Analysis of the Performance of Deep Learning Techniques in Precision Farming Using Soil and Climate Factors
Jide Kehinde Adeniyi, Tunde Taiwo Adeniyi, Sunday Adeola Ajagbe, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2812-2821
Open Access | Times Cited: 2

Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit
Nikhil M. Thoppil, V. Vasu, C.S.P. Rao
Journal of Computing and Information Science in Engineering (2021) Vol. 22, Iss. 2
Closed Access | Times Cited: 16

Implementing attack detection system using filter-based feature selection methods for fog-enabled IoT networks
Pooja Chaudhary, Brij B. Gupta, Ankit Singh
Telecommunication Systems (2022) Vol. 81, Iss. 1, pp. 23-39
Closed Access | Times Cited: 10

An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks
Binh Minh Nguyen, Trung Tran, Nguyen Van Thieu, et al.
International Journal of Computational Intelligence Systems (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 9

Improved GRU prediction of paper pulp press variables using different pre-processing methods
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, et al.
Production & Manufacturing Research (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 9

Data-Driven Fault Early Warning Model of Automobile Engines Based on Soft Classification
Xiufeng Li, Ning Wang, Yelin Lyu, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 511-511
Open Access | Times Cited: 5

Toward practical autoencoder-based side-channel analysis evaluations
Servio Paguada, Lejla Batina, Igor Armendariz
Computer Networks (2021) Vol. 196, pp. 108230-108230
Open Access | Times Cited: 12

Temporal Variational Auto-Encoders for Semi-Supervised Remaining Useful Life and Fault Diagnosis
Gabriel San Martín, Enrique López Droguett
IEEE Access (2022) Vol. 10, pp. 55112-55125
Open Access | Times Cited: 8

Throughput Approximation by Neural Network for Serial Production Lines With High Up/Downtime Variability
Seunghyeon Kim, Yuchang Won, Kyung‐Joon Park, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 3, pp. 4227-4235
Closed Access | Times Cited: 1

Enhancing Transparency and Trust in Turbofan Engine Classification: Leveraging Explainable AI
Jeetesh Sharma, M.L. Mittal, Gunjan Soni
International Journal of Reliability Quality and Safety Engineering (2024) Vol. 31, Iss. 03
Closed Access | Times Cited: 1

A Xgboost Optimized Ensemble Model for Remaining useful Life Prediction of Aircraft Turbofan Engines
Vaasudev Sharma, Riyansh Dagar, S. Sharanya
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-5
Closed Access | Times Cited: 1

Offshore Wind Power Foundation Corrosion Rate Prediction Model Based on Improved SHO Algorithm
Fan Zhang, Feng Zhang, Hongbo Zou, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1215-1215
Open Access | Times Cited: 1

Anomaly Detection of Operating Equipment in Livestock Farms Using Deep Learning Techniques
Hyeon Park, Dae‐Heon Park, Se-Han Kim
Electronics (2021) Vol. 10, Iss. 16, pp. 1958-1958
Open Access | Times Cited: 11

Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling
Hui Yu, Chuang Chen, Ningyun Lu, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8373-8373
Open Access | Times Cited: 9

Remaining useful life prediction of bearings with two-stage LSTM
Qian Chen, Xiaobing Ma, Bingxin Yan, et al.
2022 5th International Symposium on Autonomous Systems (ISAS) (2022), pp. 1-6
Closed Access | Times Cited: 6

LSTM for Modeling of Cylinder Pressure in HCCI Engines at Different Intake Temperatures via Time-Series Prediction
Moritz Sontheimer, A. K. Singh, Prateek Verma, et al.
Machines (2023) Vol. 11, Iss. 10, pp. 924-924
Open Access | Times Cited: 3

A hybrid multi-population metaheuristic applied to load-sharing optimization of gas compressor stations
Leonardo Ramos Rodrigues
Computers & Electrical Engineering (2021) Vol. 97, pp. 107632-107632
Closed Access | Times Cited: 8

Deep Learning Approaches to Remaining Useful Life Prediction: A Survey
Logan Cummins, Brad Killen, Thomas Kirby, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 1-9
Closed Access | Times Cited: 7

Compound fault diagnosis for cooling dehumidifier based on RBF neural network improved by kernel principle component analysis and adaptive genetic algorithm
Yunguang Gao, Changlin Ma, An Sheng
Soft Computing (2022) Vol. 27, Iss. 3, pp. 1599-1613
Closed Access | Times Cited: 4

Convolutional Neural Network and Deep One-Class Support Vector Machine with Imbalanced Dataset for Anomaly Network Traffic Detection
Kwok Tai Chui, Brij B. Gupta, Hao Ran, et al.
Lecture notes in networks and systems (2023), pp. 248-256
Closed Access | Times Cited: 2

ImbGAFS: GA Feature Selection for AUC in Bird Strike Prediction
Aji Gautama Putrada, Sidik Prabowo
(2023), pp. 203-216
Open Access | Times Cited: 2

Aquila Optimizer-Based Hybrid Predictive Model for Traffic Congestion in an IoT-Enabled Smart City
Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-20
Open Access

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