
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
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 1-25 of 80 citing articles:
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 80
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 80
Deep Symbolic Regression for Physics Guided by Units Constraints: Toward the Automated Discovery of Physical Laws
Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
The Astrophysical Journal (2023) Vol. 959, Iss. 2, pp. 99-99
Open Access | Times Cited: 48
Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
The Astrophysical Journal (2023) Vol. 959, Iss. 2, pp. 99-99
Open Access | Times Cited: 48
Can Artificial Intelligence Accelerate Fluid Mechanics Research?
Dimitris Drikakis, Filippos Sofos
Fluids (2023) Vol. 8, Iss. 7, pp. 212-212
Open Access | Times Cited: 29
Dimitris Drikakis, Filippos Sofos
Fluids (2023) Vol. 8, Iss. 7, pp. 212-212
Open Access | Times Cited: 29
Machine Learning in Petrology: State-of-the-Art and Future Perspectives
Maurizio Petrelli
Journal of Petrology (2024) Vol. 65, Iss. 5
Open Access | Times Cited: 11
Maurizio Petrelli
Journal of Petrology (2024) Vol. 65, Iss. 5
Open Access | Times Cited: 11
Configuration Testing of an Artificial Pancreas System Using a Digital Twin: An Evaluative Case Study
Richard Somers, Neil Walkinshaw, Robert M. Hierons, et al.
Software Testing Verification and Reliability (2025) Vol. 35, Iss. 2
Open Access | Times Cited: 1
Richard Somers, Neil Walkinshaw, Robert M. Hierons, et al.
Software Testing Verification and Reliability (2025) Vol. 35, Iss. 2
Open Access | Times Cited: 1
A Systematic and General Machine Learning Approach to Build a Consistent Data Set from Different Experiments: Application to the Thermal Conductivity of Methane
Matheus Máximo‐Canadas, Júlio César Duarte, Jakler Nichele, et al.
ACS Engineering Au (2025)
Open Access | Times Cited: 1
Matheus Máximo‐Canadas, Júlio César Duarte, Jakler Nichele, et al.
ACS Engineering Au (2025)
Open Access | Times Cited: 1
Fluidized Bed Scale-Up for Sustainability Challenges. 1. Tomorrow’s Tools
Ray Cocco, Jia Wei Chew
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 6, pp. 2519-2533
Open Access | Times Cited: 6
Ray Cocco, Jia Wei Chew
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 6, pp. 2519-2533
Open Access | Times Cited: 6
Plant science in the age of simulation intelligence
Michiel Stock, Olivier Pieters, Tom De Swaef, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Michiel Stock, Olivier Pieters, Tom De Swaef, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
A novel apparent permeability model for shale considering the influence of multiple transport mechanisms
Shuai Chen, X.F. Peng
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 4
Shuai Chen, X.F. Peng
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 4
Machine learning applications in sheet metal constitutive Modelling: A review
Armando E. Marques, Tomás G. Parreira, André F. G. Pereira, et al.
International Journal of Solids and Structures (2024) Vol. 303, pp. 113024-113024
Closed Access | Times Cited: 4
Armando E. Marques, Tomás G. Parreira, André F. G. Pereira, et al.
International Journal of Solids and Structures (2024) Vol. 303, pp. 113024-113024
Closed Access | Times Cited: 4
Evaluating the Suitability of Linear and Nonlinear Regression Approaches for the Langmuir Adsorption Model as Applied toward Biomass-Based Adsorbents: Testing Residuals and Assessing Model Validity
Ashley P. Mikolajczyk, Dhan Lord Fortela, J. Calvin Berry, et al.
Langmuir (2024) Vol. 40, Iss. 39, pp. 20428-20442
Closed Access | Times Cited: 4
Ashley P. Mikolajczyk, Dhan Lord Fortela, J. Calvin Berry, et al.
Langmuir (2024) Vol. 40, Iss. 39, pp. 20428-20442
Closed Access | Times Cited: 4
Probabilistic framework for strain-based fatigue life prediction and uncertainty quantification using interpretable machine learning
Xi Deng, Shun‐Peng Zhu, Lanyi Wang, et al.
International Journal of Fatigue (2024), pp. 108647-108647
Closed Access | Times Cited: 4
Xi Deng, Shun‐Peng Zhu, Lanyi Wang, et al.
International Journal of Fatigue (2024), pp. 108647-108647
Closed Access | Times Cited: 4
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns
Jixin Hou, Zhengwang Wu, Xianyan Chen, et al.
Soft Matter (2025)
Open Access
Jixin Hou, Zhengwang Wu, Xianyan Chen, et al.
Soft Matter (2025)
Open Access
Two-dimensional estimation of service load limit in CLT plates
Guilherme dos Santos Silva, Elvys Dias Reis, Edson Fernando Castanheira Rodrigues, et al.
Engineering Structures (2025) Vol. 328, pp. 119702-119702
Closed Access
Guilherme dos Santos Silva, Elvys Dias Reis, Edson Fernando Castanheira Rodrigues, et al.
Engineering Structures (2025) Vol. 328, pp. 119702-119702
Closed Access
Integrating piecewise and symbolic regression with remote sensing data for spatiotemporal analysis of surface water total dissolved solids in the Karun River, Iran
Javad Zahiri, Mohammad Reza Nikoo, Adell Moradi-Sabzkouhi, et al.
Results in Engineering (2025), pp. 104159-104159
Open Access
Javad Zahiri, Mohammad Reza Nikoo, Adell Moradi-Sabzkouhi, et al.
Results in Engineering (2025), pp. 104159-104159
Open Access
Modeling the density of chlorinated brines with nonlinear multivariate regressions.
Maurício Sepúlveda, Thierry Bertrand De Saint Pierre Sarrut, Andrés Soto-Bubert, et al.
Chemical Thermodynamics and Thermal Analysis (2025), pp. 100181-100181
Open Access
Maurício Sepúlveda, Thierry Bertrand De Saint Pierre Sarrut, Andrés Soto-Bubert, et al.
Chemical Thermodynamics and Thermal Analysis (2025), pp. 100181-100181
Open Access
Predictive Modeling for Energetic Materials
Didier Mathieu
Challenges and advances in computational chemistry and physics (2025), pp. 265-310
Closed Access
Didier Mathieu
Challenges and advances in computational chemistry and physics (2025), pp. 265-310
Closed Access
Origin of the Different Trends of Experimental Activity on Perovskite Catalysts between OER and ORR
Anran Hou, Runhai Ouyang
ACS Applied Energy Materials (2025)
Closed Access
Anran Hou, Runhai Ouyang
ACS Applied Energy Materials (2025)
Closed Access
SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes
Milena Petković, Natasha Dropka
Advanced Theory and Simulations (2025)
Open Access
Milena Petković, Natasha Dropka
Advanced Theory and Simulations (2025)
Open Access
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers–Moyal formulas
Yang Li, Shengyuan Xu, Jinqiao Duan
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108751-108751
Closed Access
Yang Li, Shengyuan Xu, Jinqiao Duan
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108751-108751
Closed Access
Discovering nuclear models from symbolic machine learning
Jose M. Muñoz, Silviu M. Udrescu, R. F. García Ruíz
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Jose M. Muñoz, Silviu M. Udrescu, R. F. García Ruíz
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Dynamics of an Epidemic Controlled by Isolation and Quarantine: A Probability-Based Deterministic Model
David V. Kalbaugh
Infectious Disease Modelling (2025)
Open Access
David V. Kalbaugh
Infectious Disease Modelling (2025)
Open Access
SPINEX-symbolic regression: similarity-based symbolic regression with explainable neighbors exploration
M.Z. Naser, Ahmad Z. Naser
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Open Access
M.Z. Naser, Ahmad Z. Naser
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Open Access
Enhancing the hydraulic engineering circular-18 pier scour equation with knowledge-guided symbolic regression and field data augmentation
Wen Xiong, Qilin Yang, Zhao Chen, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110614-110614
Closed Access
Wen Xiong, Qilin Yang, Zhao Chen, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110614-110614
Closed Access
Integrating Fiber Loading Effects in Mechanistic Force Model for Carbon Fiber Reinforced Polymer (CFRP) Composites
S Darshan, Krupansh Desai, Abir Bhattacharyya
Procedia CIRP (2025) Vol. 133, pp. 728-733
Open Access
S Darshan, Krupansh Desai, Abir Bhattacharyya
Procedia CIRP (2025) Vol. 133, pp. 728-733
Open Access