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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:

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: 80

Showing 26-50 of 80 citing articles:

Novel symbolic regression for turbulence flows of nano-coolant and air in louvered-fin flat-tube automotive radiators: a combination of experimental properties and device real dimensional
Ahmed Saleh, Saeed Dinarvand, Arash Mirabdolah Lavasani, et al.
Case Studies in Thermal Engineering (2025), pp. 106097-106097
Open Access
AI-assisted prediction of particle impact deformation simulated by material point method
Saba Saifoori, Somayeh Hosseinhashemi, Mohammad Alasossi, et al.
Powder Technology (2025), pp. 121018-121018
Open Access
A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites
Cheng Qiu, Hongwei Song, Jinglei Yang
Composites Part A Applied Science and Manufacturing (2025), pp. 108897-108897
Closed Access
Optimizing Bifacial Solar Modules with Trackers: Advanced Temperature Prediction Through Symbolic Regression
Fabian Alonso Lara Vargas, Carlos Vargas‐Salgado, Jesús Águila-León, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 2019-2019
Open Access
Plasma wakes from the Baffle Scanning Mechanism on a LEO mass spectrometer
Miles Bengtson, A. C. Barrie, M. Benna
Physics of Plasmas (2025) Vol. 32, Iss. 4
Open Access
A general theory to estimate Information transfer in nonlinear systems
Carlos Pires, David Docquier, Stéphane Vannitsem
Physica D Nonlinear Phenomena (2023) Vol. 458, pp. 133988-133988
Open Access | Times Cited: 10
Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel
Faezeh Eslami, Reza Kamali
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101583-101583
Closed Access | Times Cited: 3
An iterative crack tip correction algorithm discovered by physical deep symbolic regression
David Melching, Florian Paysan, Tobias Strohmann, et al.
International Journal of Fatigue (2024) Vol. 187, pp. 108432-108432
Open Access | Times Cited: 3
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on the Human Brain Cortex
Jixin Hou, Xianyan Chen, Taotao Wu, et al.
Acta Biomaterialia (2024)
Closed Access | Times Cited: 3
An Intelligent Framework for Deriving Formulas of Aerodynamic Forces between High-Rise Buildings under Interference Effects using Symbolic Regression Algorithms
Kun Wang, Tianhao Shen, Jingyu Wei, et al.
Journal of Building Engineering (2024), pp. 111614-111614
Closed Access | Times Cited: 2
Interpretable Machine Learning Models for Practical Antimonate Electrocatalyst Performance
Shyam Deo, Melissa E. Kreider, Gaurav A. Kamat, et al.
ChemPhysChem (2024) Vol. 25, Iss. 13
Closed Access | Times Cited: 2
Harnessing data using symbolic regression methods for discovering novel paradigms in physics
Jianyang Guo, Wan‐Jian Yin
Science China Physics Mechanics and Astronomy (2024) Vol. 67, Iss. 6
Closed Access | Times Cited: 2
Estimation of global natural gas spot prices using big data and symbolic regression
Ljubiša Stajić, Renáta Praksová, Dejan Brkić, et al.
Resources Policy (2024) Vol. 95, pp. 105144-105144
Closed Access | Times Cited: 2
Landslide predictions through combined rainfall threshold models
Fausto Guzzetti, Massimo Melillo, Alessandro Mondini
Landslides (2024)
Closed Access | Times Cited: 2
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
Workflow for predicting undersaturated oil viscosity using machine learning
Sofianos Panagiotis Fotias, Vassilis Gaganis
Results in Engineering (2023) Vol. 20, pp. 101502-101502
Open Access | Times Cited: 4
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
Empirical Turbulence Interaction Noise Model for Permeable Flat Plate Leading Edges
Thomas Geyer, Lars Enghardt
AIAA Journal (2024) Vol. 62, Iss. 6, pp. 2161-2173
Closed Access | Times Cited: 1
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França, William La Cava
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 896-904
Open Access | Times Cited: 1
Exploring the mathematic equations behind the materials science data using interpretable symbolic regression
Guanjie Wang, Erpeng Wang, Zefeng Li, et al.
Interdisciplinary materials (2024) Vol. 3, Iss. 5, pp. 637-657
Open Access | Times Cited: 1
Optimization Design of Submerged-Entry-Nozzle Structure Using NSGA-II Genetic Algorithm in Ultra-Large Beam-Blank Continuous-Casting Molds
Nanzhou Deng, Jintao Duan, Yibo Li, et al.
Materials (2024) Vol. 17, Iss. 17, pp. 4346-4346
Open Access | Times Cited: 1
An explainable model for predicting Worsening Heart Failure based on genetic programming
Valeria Visco, Antonio Robustelli, Francesco Loria, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109110-109110
Open Access | Times Cited: 1
The Moderating Effect of Population Growth on the Relationship between Carbon Emission and Economic Development in Surigao Del Norte, Philippines using Predictive Algorithm
Brendan Humphrey E. Cular, S. Castro, Raúl Sánchez Jurado, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 241-252
Open Access | Times Cited: 1
Machine-learning-enhanced symbolic regression for methane storage prediction in covalent organic frameworks
Alauddin Ahmed
Physical Review Materials (2024) Vol. 8, Iss. 11
Closed Access | Times Cited: 1
Towards A universal settling model for microplastics with diverse shapes: Machine learning breaking morphological barriers
Jiaqi Zhang, Clarence Edward Choi
Water Research (2024) Vol. 272, pp. 122961-122961
Closed Access | Times Cited: 1

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