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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:

Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits
Arun Kaintura, Tom Dhaene, Domenico Spina
Electronics (2018) Vol. 7, Iss. 3, pp. 30-30
Open Access | Times Cited: 111

Showing 26-50 of 111 citing articles:

Theory and methods for random differential equations: a survey
Marc Jornet
SeMA Journal (2022) Vol. 80, Iss. 4, pp. 549-579
Closed Access | Times Cited: 8
Sparse polynomial chaos expansion for nonlinear finite element simulations with random material properties
Esther Voelsen, Mona M. Dannert, A.A. Basmaji, et al.
PAMM (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Derivative-Enhanced Rational Polynomial Chaos for Uncertainty Quantification
Karanvir S. Sidhu, Roni Khazaka
IEEE Transactions on Circuits and Systems I Regular Papers (2024) Vol. 71, Iss. 4, pp. 1832-1841
Closed Access | Times Cited: 1
On the convergence of the Galerkin method for random fractional differential equations
Marc Jornet
Fractional Calculus and Applied Analysis (2024) Vol. 27, Iss. 4, pp. 1852-1865
Closed Access | Times Cited: 1
Accelerated, Physics-Inspired Inference of Skeletal Muscle Microstructure From Diffusion-Weighted MRI
Noel Naughton, Stacey Cahoon, Bradley P. Sutton, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 11, pp. 3698-3709
Open Access | Times Cited: 1
Robust Design of Multicomponent Working Fluid for Organic Rankine Cycle
Kyeongsu Kim, Jeongnam Kim, Chang-Soo Kim, et al.
Industrial & Engineering Chemistry Research (2019) Vol. 58, Iss. 10, pp. 4154-4167
Closed Access | Times Cited: 13
A Perturbative Stochastic Galerkin Method for the Uncertainty Quantification of Linear Circuits
Paolo Manfredi, Riccardo Trinchero, Dries Vande Ginste
IEEE Transactions on Circuits and Systems I Regular Papers (2020) Vol. 67, Iss. 9, pp. 2993-3006
Open Access | Times Cited: 12
Uncertainty quantification in a hydrogen production system based on the solar hybrid sulfur process
M. Venturin, Luca Turchetti, Raffaele Liberatore
International Journal of Hydrogen Energy (2020) Vol. 45, Iss. 29, pp. 14679-14695
Closed Access | Times Cited: 12
A Nonintrusive Nuclear Data Uncertainty Propagation Study for the ARC Fusion Reactor Design
Alex Aimetta, Nicolò Abrate, Sandra Dulla, et al.
Nuclear Science and Engineering (2023) Vol. 197, Iss. 8, pp. 2192-2216
Closed Access | Times Cited: 4
Electromagnetic Immunity of Pacemakers and Implantable Defibrillators to Wireless Power Transfer Systems for Automotive: A Provocative Study
Cecilia Vivarelli, Federica Censi, Giovanni Calcagnini, et al.
IEEE Transactions on Electromagnetic Compatibility (2023) Vol. 66, Iss. 1, pp. 97-107
Closed Access | Times Cited: 4
Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion
Narges Tabatabaei, Mehrdad Raisee, Michel J. Cervantes
Journal of Energy Resources Technology (2019) Vol. 141, Iss. 5
Closed Access | Times Cited: 11
Nonintrusive Stochastic Finite Elements for Crashworthiness with VPS/Pamcrash
Marc Rocas, Alberto García‐González, Xabier Larráyoz, et al.
Archives of Computational Methods in Engineering (2020) Vol. 27, Iss. 4, pp. 1337-1362
Closed Access | Times Cited: 10
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription
Shashanka Ubaru, Lior Horesh, G. M. Cohen
Journal of Biomedical Informatics (2021) Vol. 122, pp. 103901-103901
Open Access | Times Cited: 10
Surrogate models for the blade element momentum aerodynamic model using non-intrusive polynomial chaos expansions
Rad Haghi, Curran Crawford
Wind energy science (2022) Vol. 7, Iss. 3, pp. 1289-1304
Open Access | Times Cited: 7
Rational Polynomial Chaos Expansions for the Stochastic Macromodeling of Network Responses
Paolo Manfredi, S. Grivet‐Talocia
IEEE Transactions on Circuits and Systems I Regular Papers (2019) Vol. 67, Iss. 1, pp. 225-234
Closed Access | Times Cited: 10
Stochastic Optimal Power Flow for Power Systems Considering Wind Farms Based on the Stochastic Collocation Method
Bingqing Xia, Yuwei Chen, Wenbin Yang, et al.
IEEE Access (2022) Vol. 10, pp. 44023-44032
Open Access | Times Cited: 6
A Circuit Theory Perspective on the Modeling and Analysis of Vibration Energy Harvesting Systems: A Review
Michele Bonnin, Kailing Song, Fabio L. Traversa, et al.
Computation (2023) Vol. 11, Iss. 3, pp. 45-45
Open Access | Times Cited: 3
An Analysis of Uncertainty Propagation Methods Applied to Breakage Population Balance
Satyajeet Bhonsale, Dries Telen, Bard Stokbroekx, et al.
Processes (2018) Vol. 6, Iss. 12, pp. 255-255
Open Access | Times Cited: 9
Probabilistic surrogate models for uncertainty analysis: Dimension reduction‐based polynomial chaos expansion
Jeongeun Son, Yuncheng Du
International Journal for Numerical Methods in Engineering (2019) Vol. 121, Iss. 6, pp. 1198-1217
Closed Access | Times Cited: 9
Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks
Zain Anwer Memon, Riccardo Trinchero, Paolo Manfredi, et al.
Energies (2020) Vol. 13, Iss. 18, pp. 4881-4881
Open Access | Times Cited: 8
Fast Stochastic Surrogate Modeling via Rational Polynomial Chaos Expansions and Principal Component Analysis
Paolo Manfredi, S. Grivet‐Talocia
IEEE Access (2021) Vol. 9, pp. 102732-102745
Open Access | Times Cited: 8
Arbitrarily Sparse Polynomial Chaos Expansion for High-Dimensional Parametric Problems: Parametric and Probabilistic Power Flow as an Example
Danfeng Shen, Hao Wu, Bingqing Xia, et al.
IEEE Systems Journal (2021) Vol. 16, Iss. 3, pp. 4950-4961
Closed Access | Times Cited: 7
Uncertainty quantification of turbulent systems via physically consistent and data-informed reduced-order models
A. Charalampopoulos, Themistoklis P. Sapsis
Physics of Fluids (2022) Vol. 34, Iss. 7
Open Access | Times Cited: 5
Hybrid Polynomial Chaos Expansion and proper generalized decomposition approach for uncertainty quantification problems in the frame of elasticity
Yintao Wei, Florian Vazeille, Quentin Serra, et al.
Finite Elements in Analysis and Design (2022) Vol. 212, pp. 103838-103838
Closed Access | Times Cited: 5
Global Sensitivity Analysis and Uncertainty Quantification for Simulated Atrial Electrocardiograms
Benjamin Winkler, Claudia Nagel, Nando Farchmin, et al.
Metrology (2022) Vol. 3, Iss. 1, pp. 1-28
Open Access | Times Cited: 5

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