Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models
Mario Lovrić, Р.А. Мейстер, Thomas Steck, et al.
Advanced Modeling and Simulation in Engineering Sciences (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

A unified ML framework for solubility prediction across organic solvents
Antony D. Vassileiou, Murray N. Robertson, Bruce G. Wareham, et al.
Digital Discovery (2023) Vol. 2, Iss. 2, pp. 356-367
Open Access | Times Cited: 22
Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques
Mahmood Ahmad, Paweł Kamiński, Piotr Olczak, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6167-6167
Open Access | Times Cited: 38
Machine Learning and Meteorological Normalization for Assessment of Particulate Matter Changes during the COVID-19 Lockdown in Zagreb, Croatia
Mario Lovrić, Mario Antunović, Iva Šunić, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 11, pp. 6937-6937
Open Access | Times Cited: 16
Theory-inspired machine learning—towards a synergy between knowledge and data
Johannes G. Hoffer, Andreas B. Ofner, Franz M. Rohrhofer, et al.
Welding in the World (2022) Vol. 66, Iss. 7, pp. 1291-1304
Open Access | Times Cited: 15
Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma
Mario Lovrić, Ivana Banić, Emanuel Lacić, et al.
Children (2021) Vol. 8, Iss. 5, pp. 376-376
Open Access | Times Cited: 19
Evidence‐driven indoor air quality improvement: An innovative and interdisciplinary approach to improving indoor air quality
Mario Lovrić, Goran Gajski, Jésica Fernández-Agüera, et al.
BioFactors (2024)
Closed Access | Times Cited: 1
The Steelmaking Process Parameter Optimization with a Surrogate Model Based on Convolutional Neural Networks and the Firefly Algorithm
Ming‐Huwi Horng, Yung-Chun Liu, Yung‐Nien Sun, et al.
(2021)
Open Access | Times Cited: 2
The Steelmaking Process Parameter Optimization with a Surrogate Model Based on Convolutional Neural Networks and the Firefly Algorithm
Yung-Chun Liu, Ming‐Huwi Horng, Yung-Yi Yang, et al.
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 4857-4857
Open Access | Times Cited: 1
Rolling Element Bearing Fault Diagnosis Using Hybrid Machine Learning Models
Mario Antunović, Sanjin Braut, Roberto Žigulić, et al.
Mechanisms and machine science (2023), pp. 406-421
Closed Access
Page 1

Scroll to top