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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:

Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties
Grace Amabel Tabaaza, Bennet Nii Tackie-Otoo, Dzulkarnain Zaini, et al.
Computational Toxicology (2023) Vol. 26, pp. 100266-100266
Closed Access | Times Cited: 15

Showing 15 citing articles:

Research Advances in Solvent Extraction of Lithium: The Potential of Ionic Liquids
Shaoyi Jiang, Jiahui Zhang, Kailin Diao, et al.
Advanced Functional Materials (2025)
Open Access | Times Cited: 2
Review of ionic liquid and ionogel-based biomaterials for advanced drug delivery
Muzammil Kuddushi, Ben Bin Xu, Naved I. Malek, et al.
Advances in Colloid and Interface Science (2024) Vol. 331, pp. 103244-103244
Open Access | Times Cited: 14
Harnessing Ensemble Learning Techniques for Accurate Interfacial Tension Estimation in Aqueous CO2 Systems
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
(2024)
Closed Access | Times Cited: 4
Computer-aided ionic liquid design for green chemical processes based on molecular simulation and artificial intelligence
Xiaodong Pi, Junfeng Lu, Simin Li, et al.
Separation and Purification Technology (2025), pp. 131585-131585
Closed Access
Application of Ensemble Learning Paradigms in Predicting Interfacial Tension of H2/Cushion Gas Systems and the Implications on Subsurface H2 Storage
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Bennet Nii Tackie-Otoo, et al.
International Petroleum Technology Conference (2025)
Closed Access
Comparative Analysis of Parametric and Non-Parametric Machine Learning Models for CO2 Solubility Estimation
Victor Darkwah-Owusu, Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, et al.
International Petroleum Technology Conference (2025)
Closed Access
Leveraging ChemBERTa and machine learning for accurate toxicity prediction of ionic liquids
Safa Sadaghiyanfam, Hiqmet Kamberaj, Yalçın İşler
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 171, pp. 106030-106030
Closed Access
Enhanced prediction of ionic liquid toxicity using a meta-ensemble learning framework with data augmentation
Safa Sadaghiyanfam, Hiqmet Kamberaj, Yalçın İşler
Artificial Intelligence Chemistry (2025) Vol. 3, Iss. 1, pp. 100087-100087
Closed Access
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
(2024)
Closed Access | Times Cited: 2
Data-Driven Interfacial Tension Modeling of Quaternary Aqueous H2 Systems Using Sequential and Parallel Ensemble Learning Techniques and the Implications on H2 Geo-Storage
Joshua Nsiah Turkson, Bennet Nii Tackie-Otoo, Victor Darkwah-Owusu, et al.
(2024)
Closed Access | Times Cited: 2
Progress in the applications of biocompatible ionic liquids: renewable commodity production, catalytic and pharmaceutical approaches – a review
Josiel Martins Costa, Tânia Forster‐Carneiro, Jason P. Hallett
Green Chemistry (2023) Vol. 26, Iss. 2, pp. 705-719
Closed Access | Times Cited: 6
Contributions to the development of prediction models for the toxicity of ionic liquids
Hayet Abdellatif, Maamar Laidi, Cherif Si‐Moussa, et al.
Structural Chemistry (2024)
Closed Access | Times Cited: 1
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105303-105303
Closed Access | Times Cited: 1
Twofold Machine-Learning and Molecular Dynamics: A Computational Framework
Christos Stavrogiannis, Filippos Sofos, Maria Sagri, et al.
Computers (2023) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 2
Evaluating ionic liquid toxicity with machine learning and structural similarity methods
Rongli Shan, Runqi Zhang, Ying Gao, et al.
Green Chemical Engineering (2024)
Open Access
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