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:

Showing 14 citing articles:

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
Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
Mario Lovrić, Tomislav Đuričić, Han Tran, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 8, pp. 758-758
Open Access | Times Cited: 23
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
Prediction models with multiple machine learning algorithms for POPs: The calculation of PDMS-air partition coefficient from molecular descriptor
Tengyi Zhu, Cuicui Tao
Journal of Hazardous Materials (2021) Vol. 423, pp. 127037-127037
Closed Access | Times Cited: 19
Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem
Mario Lovrić, Olga Malev, Göran Klobučar, et al.
Molecules (2021) Vol. 26, Iss. 6, pp. 1617-1617
Open Access | Times Cited: 14
Understanding the True Effects of the COVID-19 Lockdown on Air Pollution by Means of Machine Learning
Mario Lovrić, Kristina Pavlović, Matej Vuković, et al.
(2020)
Open Access | Times Cited: 12
Affinity of Antifungal Isoxazolo[3,4-b]pyridine-3(1H)-Ones to Phospholipids in Immobilized Artificial Membrane (IAM) Chromatography
Krzesimir Ciura, Joanna Fedorowicz, Petar Žuvela, et al.
Molecules (2020) Vol. 25, Iss. 20, pp. 4835-4835
Open Access | Times Cited: 11
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
Understanding the True Effects of the COVID-19 Lockdown on Air Pollution by Means of Machine Learning
Mario Lovrić, Kristina Pavlović, Matej Vuković, et al.
(2020)
Open Access | Times Cited: 6
An interpretable graph representation learning model for accurate predictions of drugs aqueous solubility
Qiufen Chen, Yuewei Zhang, Peng Gao, et al.
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100010-100010
Open Access | Times Cited: 1
Designing solvent systems in chemical processes using self-evolving solubility databases and graph neural networks
Yeonjoon Kim, Hojin Jung, Sabari Kumar, et al.
(2023)
Open Access
Deep discourse analysis for early prediction of multi-type dementia
Ahmed H. Alkenani
(2023)
Open Access
Gradient Retention Time Modelling in Ion Chromatography Through Ensemble Machine Learning-Powered Quantitative Structure-Retention Relationships
Zhen Jia Lim, Petar Žuvela, Šime Ukić, et al.
(2023)
Closed Access
Designing solvent systems in chemical processes using self-evolving solubility databases and graph neural networks
Yeonjoon Kim, Hojin Jung, Sabari Kumar, et al.
(2022)
Open Access
Page 1

Scroll to top