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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.

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Showing 23 citing articles:

Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components
Mostafa Sedaghat, Riccardo Trinchero, Zaker Hossein Firouzeh, et al.
IEEE Transactions on Microwave Theory and Techniques (2022) Vol. 70, Iss. 7, pp. 3415-3427
Closed Access | Times Cited: 20
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines
Paolo Manfredi, Riccardo Trinchero
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108182-108182
Open Access | Times Cited: 3
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures
Nastaran Soleimani, Riccardo Trinchero
Electronics (2022) Vol. 11, Iss. 4, pp. 551-551
Open Access | Times Cited: 16
Machine Learning Regression Techniques for the Modeling of Complex Systems: An Overview
Riccardo Trinchero, Flavio Canavero
IEEE Electromagnetic Compatibility Magazine (2021) Vol. 10, Iss. 4, pp. 71-79
Closed Access | Times Cited: 21
Assessment of DeepONet for time dependent reliability analysis of dynamical systems subjected to stochastic loading
Shailesh Garg, Harshit Gupta, Souvik Chakraborty
Engineering Structures (2022) Vol. 270, pp. 114811-114811
Closed Access | Times Cited: 14
Probabilistic Uncertainty Quantification of Microwave Circuits Using Gaussian Processes
Paolo Manfredi
IEEE Transactions on Microwave Theory and Techniques (2022) Vol. 71, Iss. 6, pp. 2360-2372
Open Access | Times Cited: 14
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications
Nastaran Soleimani, Riccardo Trinchero, Flavio Canavero
IEEE Transactions on Microwave Theory and Techniques (2023) Vol. 71, Iss. 6, pp. 2319-2332
Open Access | Times Cited: 7
A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression
Paolo Manfredi, Riccardo Trinchero
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2021) Vol. 41, Iss. 8, pp. 2638-2651
Closed Access | Times Cited: 17
Performance Variability Analysis of Photonic Circuits With Many Correlated Parameters
Abi Waqas, Paolo Manfredi, Daniele Melati
Journal of Lightwave Technology (2021) Vol. 39, Iss. 14, pp. 4737-4744
Open Access | Times Cited: 12
Uncertainty Analysis for Hydrological Models With Interdependent Parameters: An Improved Polynomial Chaos Expansion Approach
Maysara Ghaith, Zhong Li, Brian W. Baetz
Water Resources Research (2021) Vol. 57, Iss. 8
Closed Access | Times Cited: 10
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams
Mihai Telescu, Riccardo Trinchero, Nastaran Soleimani, et al.
IEEE Transactions on Electromagnetic Compatibility (2023) Vol. 65, Iss. 6, pp. 1930-1938
Open Access | Times Cited: 3
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
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters
Mostafa Sedaghat, Riccardo Trinchero, Flavio Canavero
2022 IEEE/MTT-S International Microwave Symposium - IMS 2022 (2021)
Closed Access | Times Cited: 8
Machine Learning for the Uncertainty Quantification of Power Networks
Zain Anwer Memon, Riccardo Trinchero, Paolo Manfredi, et al.
IEEE Letters on Electromagnetic Compatibility Practice and Applications (2020) Vol. 2, Iss. 4, pp. 138-141
Open Access | Times Cited: 4
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links
Nastaran Soleimani, Riccardo Trinchero, Flavio Canavero
(2022), pp. 1-4
Closed Access | Times Cited: 3
Conservative Gaussian Process Models for Uncertainty Quantification and Bayesian Optimization in Signal Integrity Applications
Paolo Manfredi
IEEE Transactions on Components Packaging and Manufacturing Technology (2024) Vol. 14, Iss. 7, pp. 1261-1272
Open Access
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier
Nastaran Soleimani, Paolo Manfredi, Riccardo Trinchero
(2023), pp. 143-146
Closed Access | Times Cited: 1
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds
Paolo Manfredi, Riccardo Trinchero
(2021), pp. 1-4
Closed Access | Times Cited: 1
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link
Neda Soleimani, Riccardo Trinchero
(2023) Vol. 4, pp. 1-4
Closed Access
A unified test data volume compression scheme for circular scan architecture using hosted cuckoo optimization
Neeraj Kumar Shukla, Abdulilah Mohammad Mayet, M. Ramkumar Raja, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 5, pp. 6411-6434
Closed Access
Efficient Uncertainty Quantification of Stripline Pulse Response using Singular Value Decomposition and Delay Extraction
Andrew Page, Xu Chen
2022 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC) (2022), pp. 4-6
Closed Access
Time domain analysis of random circuits via combined numerical techniques
Tongyu Ding, Aonan Kou, Jian Shu, et al.
(2022), pp. 1-3
Closed Access
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