Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 17 citing articles:

Advancing Uncertainty Quantification in Dynamical Systems: A Probabilistic Machine Learning Approach
Aakarshan Khanal, Kamesh Subbarao
AIAA SCITECH 2022 Forum (2025)
Closed Access
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
Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics
Stephen Kasdorf, Jake Harmon, Branislav M. Notaroš
IEEE Open Journal of Antennas and Propagation (2024) Vol. 5, Iss. 2, pp. 474-486
Open Access | Times Cited: 2
PROBABILISTIC UNCERTAINTY PROPAGATION USING GAUSSIAN PROCESS SURROGATES
Paolo Manfredi
International Journal for Uncertainty Quantification (2024) Vol. 14, Iss. 6, pp. 71-104
Closed Access | Times Cited: 2
Deep Simple Recurrent Unit-Based Transient Modeling Method for High-Speed Circuits
Hanzhi Ma, Jiarui Qiu, Guangyu Sheng, et al.
IEEE Transactions on Microwave Theory and Techniques (2024) Vol. 73, Iss. 2, pp. 736-744
Closed Access | Times Cited: 1
A Robust Bayesian Optimization Framework for Microwave Circuit Design under Uncertainty
Duygu De Witte, Jixiang Qing, Ivo Couckuyt, et al.
Electronics (2022) Vol. 11, Iss. 14, pp. 2267-2267
Open Access | Times Cited: 7
A Novel Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference Between Railway and Nearby Power Lines
Md Nasmus Sakib Khan Shabbir, Chenyang Wang, Xiaodong Liang, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 3, pp. 2772-2784
Closed Access | Times Cited: 2
Modeling Prediction Uncertainty in Regression using the Regression Tsetlin Machine
K. Darshana Abeyrathna, Andreas Hafver, Lydie Edward
(2023), pp. 1-8
Closed Access | Times Cited: 2
Stochastic and multi-objective design of photonic devices with machine learning
Paolo Manfredi, Abi Waqas, Daniele Melati
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Uncertainty Quantification and Optimal Design of EV-WPT System Efficiency based on Adaptive Gaussian Process Regression
Xinlei Shang, Linlin Xu, Quanyi Yu, et al.
The Applied Computational Electromagnetics Society Journal (ACES) (2024), pp. 929-940
Open Access
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
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion
Paolo Manfredi, Riccardo Trinchero
(2024), pp. 639-642
Closed Access
Application of different learning methods for arrays sensitivity analysis with uncertain excitation and location tolerances
Mahdi Boozari, Negar Yasi, Mohammad Khalaj‐Amirhosseini
AEU - International Journal of Electronics and Communications (2022) Vol. 157, pp. 154423-154423
Closed Access | Times Cited: 1
A Novel Regression Model-Based Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference of Adjacent Power Lines
Md Nasmus Sakib Khan Shabbir, Chenyang Wang, Xiaodong Liang, et al.
2022 IEEE Industry Applications Society Annual Meeting (IAS) (2022), pp. 1-8
Closed Access | Times Cited: 1
Co-Simulating Region-Based Dynamic Voltage Scaling for FPGA Architecture Design
Johannes Pfau, Jiro Hernandez, Maximilian Reuter, et al.
(2023), pp. 1-7
Closed Access
Efficient Uncertainty Quantification using sensitivity information in Least Squares SVM
Karanvir S. Sidhu, Roni Khazaka
(2023), pp. 1-3
Closed Access
Page 1

Scroll to top