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:

The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches
Theodoros E. Karakasidis, Filippos Sofos, Christos Tsonos
Fluids (2022) Vol. 7, Iss. 10, pp. 321-321
Open Access | Times Cited: 18

Showing 18 citing articles:

Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3845-3865
Open Access | Times Cited: 63
Quantum Chemistry-Driven Machine Learning Approach for the Prediction of the Surface Tension and Speed of Sound in Ionic Liquids
Mood Mohan, Micholas Dean Smith, Omar Demerdash, et al.
ACS Sustainable Chemistry & Engineering (2023) Vol. 11, Iss. 20, pp. 7809-7821
Open Access | Times Cited: 19
Integrating Feature Attribution and Symbolic Regression for Automatic Model Structure Identification and Strategic Sampling
Alexander W. Rogers, Amanda Lane, Ćesar Mendoza, et al.
Computers & Chemical Engineering (2025), pp. 109036-109036
Open Access
Machine learning for screw design in single‐screw extrusion
Nickolas D. Polychronopoulos, Konstantinos Moustris, Theodoros E. Karakasidis, et al.
Polymer Engineering and Science (2025)
Open Access
Designing formulations of bio-based, multicomponent epoxy resin systems via machine learning
Rodrigo Q. Albuquerque, Florian Rothenhäusler, Holger Ruckdäschel
MRS Bulletin (2023) Vol. 49, Iss. 1, pp. 59-70
Open Access | Times Cited: 14
Recent Progress on the Tribology of Pure/Doped Diamond-like Carbon Coatings and Ionic Liquids
Shahsharif Shaikh, Mohammadamin Sadeghi, Sandra Cruz, et al.
Coatings (2024) Vol. 14, Iss. 1, pp. 71-71
Open Access | Times Cited: 4
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development
Alexander W. Rogers, Amanda Lane, Ćesar Mendoza, et al.
Chemical Engineering Science (2024) Vol. 300, pp. 120580-120580
Open Access | Times Cited: 2
Machine learning predictions of diffusion in bulk and confined ionic liquids using simple descriptors
N. Scott Bobbitt, Joshua P. Allers, Jacob A. Harvey, et al.
Molecular Systems Design & Engineering (2023) Vol. 8, Iss. 10, pp. 1257-1274
Closed Access | Times Cited: 6
Predictive modeling of physicochemical properties and ionicity of ionic liquids for virtual screening of novel electrolytes
Dmitriy M. Makarov, Yu. A. Fadeeva, L. E. Shmukler
Journal of Molecular Liquids (2023) Vol. 391, pp. 123323-123323
Closed Access | Times Cited: 6
Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods
Dimitrios Angelis, Filippos Sofos, Konstantinos Papastamatiou, et al.
Micromachines (2023) Vol. 14, Iss. 7, pp. 1446-1446
Open Access | Times Cited: 5
Reassessing the transport properties of fluids: A symbolic regression approach
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Physical review. E (2024) Vol. 109, Iss. 1
Closed Access | Times Cited: 1
Computation of flow rates in rarefied gas flow through circular tubes via machine learning techniques
Filippos Sofos, C. Dritselis, S. Misdanitis, et al.
Microfluidics and Nanofluidics (2023) Vol. 27, Iss. 12
Open Access | Times Cited: 3
Air Quality Prediction in Smart Cities Using Cloud Machine Learning
Niveshitha Niveshitha, Fathi Amsaad, N. Z. Jhanjhi
(2023), pp. 1115-1119
Closed Access | Times Cited: 2
Analyze the Quality of Wine Based on Machine Learning Approach
Kodem Sravan, Lade Gunakar Rao, Kamalakar Ramineni, et al.
Lecture notes in networks and systems (2024), pp. 351-360
Closed Access
AI-assisted Distributed Cloud Services Framework for Enhanced Safety in Urban Smart Cities Environment
Niveshitha Niveshitha, Fathi Amsaad, Ahmed Sherif, et al.
(2024)
Open Access
N-octylpyridine hydrogen sulphate ionic liquid for multifunctional fluorescent response in different solvents
Peng Tian, Jian Shao, Yanhong Kang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30692-e30692
Open Access
Comprehensive analysis of soil electrical conductivity: an experimental and machine learning approach
Rashid Mustafa, Alauddin Ansari
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access
AI for Property Modeling, Solvent Tailoring, and Process Design
Yuqiu Chen
(2024), pp. 1-22
Closed Access
Machine learning prediction of materials properties from chemical composition: Status and prospects
Mohammed Alghadeer, Nyimas Aisyah, Mahmoud Hezam, et al.
Chemical Physics Reviews (2024) Vol. 5, Iss. 4
Open Access
Page 1

Scroll to top