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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:

A Hybrid Improved Neural Networks Algorithm Based on L2 and Dropout Regularization
Xiaoyun Xie, Ming Xie, Ata Jahangir Moshayedi, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 12

Showing 12 citing articles:

Quantum-Inspired Latent Variable Modeling in Multivariate Analysis
Theodoros Kyriazos, Mary Poga
Stats (2025) Vol. 8, Iss. 1, pp. 20-20
Open Access | Times Cited: 2
A new approach for product reliability prediction by considering the production factory lifecycle information
Shashi Bhushan Gunjan, D.S. Srinivasu, Riyand Hadirijal N
Reliability Engineering & System Safety (2025), pp. 110915-110915
Closed Access
Research on movie rating based on BERT-base model
Weijun Ning, Fuwei Wang, Weimin Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects
Xiaofei Cheng, Sara Hakem Al-Khafaji, Mohammad Hashemian, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106313-106313
Closed Access | Times Cited: 12
Non-invasive diagnosis methodology based on infrared thermography and deep feature learning for detecting multiple faults in electromechanical systems
Emmanuel Resendiz‐Ochoa, David A. Elvira-Ortiz, Arturo Yosimar Jaen-Cuéllar, et al.
Measurement (2025), pp. 117076-117076
Closed Access
Optimizing Catalyst Layer Composition of PEM Fuel Cell via Machine Learning: Insights from In-House Experimental Data
Yuze Hou, Patrick Schneider, Linda Ney, et al.
Energy and AI (2024) Vol. 18, pp. 100439-100439
Open Access | Times Cited: 3
Dynamic viscosity prediction using artificial intelligence for an antifreeze containing MWCNT–alumina hybrid nanopowders
Suqin Hua, Dheyaa J. Jasim, As’ad Alizadeh, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107046-107046
Closed Access | Times Cited: 7
Utility of artificial intelligence in the diagnosis and management of keratoconus: a systematic review
Deniz Goodman, Angela Y. Zhu
Frontiers in Ophthalmology (2024) Vol. 4
Open Access | Times Cited: 2
Dynamic Viscosity Prediction for MWCNT-MgO (10%-90%) -SAE40 Oil Hybrid Nano-lubricant Using Artificial Neural Network and Multi-Dimensional Nonlinear Least Square Curve Fitting
Xiaojian Lin, Ali Basem, Mortatha Al‐Yasiri, et al.
Chinese Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 2
A well-trained artificial neural network for predicting the optimum conditions of MWCNT–ZnO (10:90)/ SAE 40 nano-lubricant at different shear rates, temperatures, and concentration of nanoparticles
Mohammad Hemmat Esfe, S. Ali Eftekhari, As’ad Alizadeh, et al.
Arabian Journal of Chemistry (2022) Vol. 16, Iss. 2, pp. 104508-104508
Open Access | Times Cited: 6
Forecasting The Value of Indonesian Oil-Non-Oil and Gas Imported Using The Gated Recurrent Unit (GRU)
Dian Kurniasari, Sulistian Oskavina, Wamiliana Wamiliana, et al.
Indonesian Journal of Artificial Intelligence and Data Mining (2023) Vol. 6, Iss. 1, pp. 71-71
Open Access | Times Cited: 2
A web-based intelligent calculator for predicting viscosity of ethylene–glycol–based nanofluids using an artificial neural network model
Walaeddine Maaoui, Zouhaier Mehrez, Mustapha Najjari
Rheologica Acta (2023) Vol. 63, Iss. 1, pp. 49-60
Closed Access
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