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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:

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

Showing 1-25 of 48 citing articles:

Deep model predictive control of gene expression in thousands of single cells
Jean‐Baptiste Lugagne, Caroline M. Blassick, Mary J. Dunlop
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Machine learning in proton exchange membrane water electrolysis — A knowledge-integrated framework
Xia Chen, Alexander Rex, Janis Woelke, et al.
Applied Energy (2024) Vol. 371, pp. 123550-123550
Open Access | Times Cited: 11
Data‐Driven Equation Discovery of a Cloud Cover Parameterization
Arthur Grundner, Tom Beucler, Pierre Gentine, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 3
Open Access | Times Cited: 8
Constraining genetic symbolic regression via semantic backpropagation
Maximilian Reissmann, Yuan Fang, Andrew Ooi, et al.
Genetic Programming and Evolvable Machines (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Introduction to Predicting Properties of Organic Materials
Didier Mathieu
Challenges and advances in computational chemistry and physics (2025), pp. 27-63
Closed Access | Times Cited: 1
Tensile behavior of reinforced UHPC: Effects of autogenous shrinkage and model of tensile capacity via deep learning-based symbolic regression
Lei Tu, Hua Zhao, Chengjun Tan, et al.
Cement and Concrete Composites (2025), pp. 106019-106019
Closed Access | Times Cited: 1
Multivariate engineering formulas discovery with knowledge‐based neural network
Ping‐Hei Chen, Wang Chen, Jian‐Sheng Fan
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access | Times Cited: 1
Benchmarking sparse system identification with low-dimensional chaos
Alan A. Kaptanoglu, Lanyue Zhang, Zachary G. Nicolaou, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 14, pp. 13143-13164
Closed Access | Times Cited: 16
A precise symbolic emulator of the linear matter power spectrum
Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, et al.
Astronomy and Astrophysics (2024) Vol. 686, pp. A209-A209
Open Access | Times Cited: 6
An overview of progress, challenges, needs and trends in mathematical modeling approaches in food drying
Chang Chen, Zhongli Pan
Drying Technology (2023) Vol. 41, Iss. 16, pp. 2586-2605
Closed Access | Times Cited: 15
Optimal inflationary potentials
Tomás Sousa, Deaglan J. Bartlett, Harry Desmond, et al.
Physical review. D/Physical review. D. (2024) Vol. 109, Iss. 8
Open Access | Times Cited: 5
Analysis of Strong Coupling Constant with Machine Learning and Its Application
Xiaoyun Wang, Chen 晨 Dong 董, Xiang 翔 Liu 刘
Chinese Physics Letters (2024) Vol. 41, Iss. 3, pp. 031201-031201
Closed Access | Times Cited: 4
Channel Modeling Based on Transformer Symbolic Regression for Inter-Satellite Terahertz Communication
Yuanzhi He, Biao Sheng, Zhiqiang Li
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2929-2929
Open Access | Times Cited: 4
Multiaxial damage parameter evaluation by neural network-based symbolic regression
Weiwen Cao, Xingyue Sun, Yajing Li, et al.
Engineering Fracture Mechanics (2025) Vol. 315, pp. 110809-110809
Closed Access
cp3-bench: a tool for benchmarking symbolic regression algorithms demonstrated with cosmology
Mattias E. Thing, S. M. Koksbang
Journal of Cosmology and Astroparticle Physics (2025) Vol. 2025, Iss. 01, pp. 040-040
Open Access
A Transformer-based method to simulate multi-scale soil moisture
Yangxiaoyue Liu, Ying Xin, Cong Yin
Journal of Hydrology (2025), pp. 132900-132900
Closed Access
Predictive Modeling for Energetic Materials
Didier Mathieu
Challenges and advances in computational chemistry and physics (2025), pp. 265-310
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
Search direction optimization of power flow analysis based on physics-informed deep learning
Baoliang Li, Qiuwei Wu, Yongji Cao, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 167, pp. 110602-110602
Closed Access
Mathematical expression exploration with graph representation and generative graph neural network
Jingyi Liu, Weijun Li, Lina Yu, et al.
Neural Networks (2025), pp. 107405-107405
Closed 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
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen, Yi Ding, H. Miyake, et al.
Computer Physics Communications (2025), pp. 109599-109599
Closed Access
Interpretable data-driven turbulence modeling for separated flows using symbolic regression with unit constraints
Boqian Zhang, Juanmian Lei
Acta Mechanica (2025)
Closed Access
Deep symbolic regression for numerical formulation of fundamental period in concentrically steel-braced RC frames
Taimur Rahman, Shamima Sultana, Tanjir Ahmed, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 6, pp. 4725-4744
Open 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
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