Open Access Helper

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 Comparative Analysis of Machine Learning Models in Prediction of Mortar Compressive Strength
R. Gayathri, Shola Usharani, Lenka Čepová, et al.
Processes (2022) Vol. 10, Iss. 7, pp. 1387-1387
Open Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Cloud Services User’s Recommendation System Using Random Iterative Fuzzy-Based Trust Computation and Support Vector Regression
Janjhyam Venkata Naga Ramesh, Syed Khasim, Mohamed Abbas, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2332-2332
Open Access | Times Cited: 3
Forecasting Sales of Iraqi Dates Using Artificial Intelligence
Hussam Mezher Merdas, Ayad Hameed Mousa
Iraqi Journal of Intelligent Computing and Informatics (IJICI) (2023) Vol. 2, Iss. 2, pp. 130-145
Open Access | Times Cited: 2
MFO Tunned SVR Models for Analyzing Dimensional Characteristics of Cracks Developed on Steam Generator Tubes
Mathias Vijay Albert William, S. Ramesh, Róbert Čep, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12375-12375
Open Access | Times Cited: 3
Durability, thermo-physical characteristics, and mechanical strength prediction of green Portland cement matrix incorporating recycled soda-lime glass and lead glass
Tchedele Langollo Yannick, Essomba Essomba Juste Constant, Emini Pierre Boris Gael, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26288-e26288
Open Access
Evaluation of Machine Learning Models to Predict the Probability of Forest Fires with Small Training Sample, Case of the Wilaya of Sidi Belabbes
Gacemi Mohamed El Amine, Ghabi Mohamed, Benshela Naima
(2024), pp. 134-138
Closed Access
Predictive intelligence and adaptive control strategies for ensuring safety in Island microgrids during load and power disturbances
Jiyang Zhang, Meng Zhang, Jie Yang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109644-109644
Closed Access
A Rigorous Examination of Twelve Cutting-Edge Machine-Learning Techniques for Predicting Time and Cost in Tunneling Projects
Arsalan Mahmoodzadeh, Hamid Reza Nejati, Laith R. Flaih, et al.
Journal of Construction Engineering and Management (2024) Vol. 150, Iss. 12
Closed Access
Machine Learning-Based Prediction of Tree Crown Development in Competitive Urban Environments
Hadi Yazdi, Astrid Moser-Reischl, Thomas Rötzer, et al.
Urban forestry & urban greening (2024), pp. 128527-128527
Open Access
Enhancing local-scale groundwater quality predictions using advanced machine learning approaches
Abhimanyu Singh Yadav, Abhay Raj, Basant Yadav
Journal of Environmental Management (2024) Vol. 370, pp. 122903-122903
Closed Access
Assessing changes in soil electrical conductivity under runoff influences using gradient boosting and metaheuristic algorithms
Xinyue Zhao, Yulin Lan, Xue-ling Mu
Electrical Engineering (2024)
Closed Access
An Enhanced Novel Data Visualization Based on Flood Prediction Method Using Highest and Lowest Rainfall Patterns by Comparing Decision Tree Over Logistic Regression
J.V. Ramana, Suresh Babu Nalliboyina, K. Rajesh Kumar, et al.
Lecture notes in networks and systems (2024), pp. 235-241
Closed Access
Prediction of Fps Using Ensembling Approach for Benchmarking Gaming Systems
D. Ramkumar, K. Jeeveth, Pooja N. Umekar, et al.
Lecture notes in electrical engineering (2024), pp. 365-378
Closed Access
A Comparative Study of Accuracy for Novel Bankruptcy Prediction System Using Diverse Algorithms
S. Ramesh Babu, B. Krishnaiah, Nitinder Mohan, et al.
Lecture notes in networks and systems (2024), pp. 395-404
Closed Access
An Advanced House Price Detection Using Novel Classification with Linear Regression by Comparing Predictable Over Actual Pricing
V.S. Prasad Kandi, P. V. M. Lakshmi, Paila Mounica Sai, et al.
Lecture notes in networks and systems (2024), pp. 157-164
Closed Access
A Significant Estimation and Prediction of High and Low Risk in Approving Bank Loan by Using Novel Creditworthiness by Comparing Support Vector Machine Model Over Logistic Regression
Varvara Kandia, Pedisetti Prasanna Lakshmib, Venkata Sai Malavika Ravipatic, et al.
Lecture notes in networks and systems (2024), pp. 645-650
Closed Access
Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar
Muhammad Nasir Amin, Roz‐Ud‐Din Nassar, Kaffayatullah Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access
A comparative study of machine learning methods for assessing the compressive strength of Pozzolanic concrete
Matiur Rahman Raju, Mahfuzur Rahman, Md Mehedi Hasan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Role of Artificial Intelligence in Request Management: A Comprehensive Review
Sujala Reddy R S, Vishalakshi Prabhu H
(2023), pp. 915-921
Closed Access
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