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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:

Nonparametric inference of interaction laws in systems of agents from trajectory data
Fei Lu, Zhong Ming, Sui Tang, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 29, pp. 14424-14433
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Swarm shepherding using bearing-only measurements
Aiyi Li, Masaki Ogura, Naoki Wakamiya
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 383, Iss. 2289
Open Access | Times Cited: 1
Learning dynamical models of single and collective cell migration: a review
David B. Brückner, Chase P. Broedersz
Reports on Progress in Physics (2024) Vol. 87, Iss. 5, pp. 056601-056601
Open Access | Times Cited: 11
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Omer San, Adil Rasheed, Trond Kvamsdal
GAMM-Mitteilungen (2021) Vol. 44, Iss. 2
Open Access | Times Cited: 45
Discovery of Dynamics Using Linear Multistep Methods
Rachael T. Keller, Qiang Du
SIAM Journal on Numerical Analysis (2021) Vol. 59, Iss. 1, pp. 429-455
Open Access | Times Cited: 28
Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories
Fei Lu, Mauro Maggioni, Sui Tang
Foundations of Computational Mathematics (2021) Vol. 22, Iss. 4, pp. 1013-1067
Open Access | Times Cited: 28
Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
Mohamed Aziz Bhouri, Paris Perdikaris
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2229
Open Access | Times Cited: 20
Nonparametric adaptive estimation for interacting particle systems
Fabienne Comte, Valentine Genon‐Catalot
Scandinavian Journal of Statistics (2023) Vol. 50, Iss. 4, pp. 1716-1755
Open Access | Times Cited: 11
Online parameter estimation for the McKean–Vlasov stochastic differential equation
Louis Sharrock, Nikolas Kantas, Panos Parpas, et al.
Stochastic Processes and their Applications (2023) Vol. 162, pp. 481-546
Open Access | Times Cited: 11
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
Qiang Du, Yiqi Gu, Haizhao Yang, et al.
SIAM Journal on Numerical Analysis (2022) Vol. 60, Iss. 4, pp. 2014-2045
Open Access | Times Cited: 16
Data-driven discovery of emergent behaviors in collective dynamics
Zhong Ming, Jason Miller, Mauro Maggioni
Physica D Nonlinear Phenomena (2020) Vol. 411, pp. 132542-132542
Open Access | Times Cited: 25
Bayesian differential programming for robust systems identification under uncertainty
Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 476, Iss. 2243
Open Access | Times Cited: 24
Learning theory for inferring interaction kernels in second-order interacting agent systems
Jason Miller, Sui Tang, Zhong Ming, et al.
Sampling Theory Signal Processing and Data Analysis (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 8
Random feature models for learning interacting dynamical systems
Yuxuan Liu, Scott G. McCalla, Hayden Schaeffer
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 479, Iss. 2275
Open Access | Times Cited: 8
Biological modeling with nonlocal advection–diffusion equations
Kevin J. Painter, Thomas Hillen, Jonathan R. Potts
Mathematical Models and Methods in Applied Sciences (2023) Vol. 34, Iss. 01, pp. 57-107
Open Access | Times Cited: 8
IDENT: Identifying Differential Equations with Numerical Time evolution
Sung Ha Kang, Wenjing Liao, Yingjie Liu
arXiv (Cornell University) (2019)
Open Access | Times Cited: 23
Topologically Based Fractional Diffusion and Emergent Dynamics with Short-Range Interactions
Roman Shvydkoy, Eitan Tadmor
SIAM Journal on Mathematical Analysis (2020) Vol. 52, Iss. 6, pp. 5792-5839
Open Access | Times Cited: 21
Swarming: hydrodynamic alignment with pressure
Eitan Tadmor
Bulletin of the American Mathematical Society (2023) Vol. 60, Iss. 3, pp. 285-325
Open Access | Times Cited: 7
Data-driven model selections of second-order particle dynamics via integrating Gaussian processes with low-dimensional interacting structures
Jinchao Feng, Charles Kulick, Sui Tang
Physica D Nonlinear Phenomena (2024) Vol. 461, pp. 134097-134097
Open Access | Times Cited: 2
Implementation and (Inverse Modified) Error Analysis for Implicitly Templated ODE-Nets
Aiqing Zhu, Tom Bertalan, Beibei Zhu, et al.
SIAM Journal on Applied Dynamical Systems (2024) Vol. 23, Iss. 4, pp. 2643-2669
Open Access | Times Cited: 2
On the identifiability of interaction functions in systems of interacting particles
Zhongyang Li, Fei Lu, Mauro Maggioni, et al.
Stochastic Processes and their Applications (2020) Vol. 132, pp. 135-163
Open Access | Times Cited: 18
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
Xiaohui Chen
Electronic Communications in Probability (2021) Vol. 26, Iss. none
Open Access | Times Cited: 17
Data-Driven Model Construction for Anisotropic Dynamics of Active Matter
Mengyang Gu, Xinyi Fang, Yimin Luo
PRX Life (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 6
Analyzing collective motion with machine learning and topology
Dhananjay Bhaskar, Angelika Manhart, Jesse Milzman, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 12
Open Access | Times Cited: 17
Higher-order interactions in statistical physics and machine learning: A model-independent solution to the inverse problem at equilibrium
Sjoerd Viktor Beentjes, Ava Khamseh
Physical review. E (2020) Vol. 102, Iss. 5
Open Access | Times Cited: 17
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
Renyi Chen, Molei Tao
arXiv (Cornell University) (2021)
Open Access | Times Cited: 14
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