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:

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

Showing 21 citing articles:

Accurate harmonics mitigation for water desalination plant supplied by multi-energy sources based on deep learning algorithms
Hasnaa M. El Arwash, Mona Gamal, Ragab A. El‐Sehiemy
Alexandria Engineering Journal (2025)
Open Access
Application of machine learning techniques to build digital twins for long train dynamics simulations
Nicola Bosso, Matteo Magelli, Riccardo Trinchero, et al.
Vehicle System Dynamics (2023) Vol. 62, Iss. 1, pp. 21-40
Closed Access | Times Cited: 14
Differential Game Theoretic Models for Designing Water Conservation Incentives
Behnam Momeni, Shima Mohebbi
Decision Analysis (2025)
Closed Access
Artificial Intelligence and Non-Destructive Testing Data to Assess Concrete Sustainability of Civil Engineering Infrastructures
Cédric Baudrit, Sylvain Dufau, Géraldine Villain, et al.
Materials (2025) Vol. 18, Iss. 4, pp. 826-826
Open Access
Mathematical modeling of ions adsorption from water/wastewater sources via porous materials: A machine learning-based approach
Guang Yang, Nadhir N. A. Jafar, Rafid Jihad Albadr, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105250-105250
Closed Access | Times Cited: 3
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
Anomaly Detection with Decision Trees for AI Assisted Evaluation of Signal Integrity on PCB Transmission Lines
Emre Ecik, W. John, Julian Withöft, et al.
Advances in radio science (2023) Vol. 21, pp. 37-48
Open Access | Times Cited: 4
Accurate Identification of Harmonic Distortion for Micro-Grids Using Artificial Intelligence-Based Predictive Models
Ahmed M. Abed, Ragab A. El‐Sehiemy, Bachir Bentouati, et al.
IEEE Access (2024) Vol. 12, pp. 83740-83763
Open Access | Times Cited: 1
Machine learning approaches for the prediction of hydrogen uptake in metal-organic-frameworks: A comprehensive review
Aryan Anil Yamde, Vikesh G. Lade, Ankush B. Bindwal, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 1131-1154
Closed Access | Times Cited: 1
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
Feature Imputation using Neutrosophic Set Theory in Machine Learning Regression Context
Yamen El Touati, Walid Abdelfattah
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13688-13694
Open Access
Roboto pozicionavimo klaidų kompensavimas taikant gilųjį Q-mokymosi algoritmą
Marius Šumanas
(2024)
Open Access
Avaliação de algoritmos para a análise preditiva das notas de Engenharia no ENADE utilizando dados socioeconômicos.
Bruno Anselmo Guilhen
(2024)
Open Access
Tribo-informatics empowered research on triboelectrification
Nian Yin, Zhangli Hou, Xin Wang, et al.
Friction (2024) Vol. 13, Iss. 2, pp. 9441045-9441045
Open Access
Machine learning application to disaster damage repair cost modelling of residential buildings
Nadeeshani Wanigarathna, Ying Xie, Christian Henjewele, et al.
Construction Management and Economics (2024), pp. 1-21
Open Access
The anesthesiologist’s guide to critically assessing machine learning research: a narrative review
Filipa Osório, Sergio Alzate-Ricaurte, Tomas Eduardo Mejia Vallecilla, et al.
BMC Anesthesiology (2024) Vol. 24, Iss. 1
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
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
Stochastic Modeling and Analysis of Automotive Wire Harness Based on Machine Learning and Polynomial Chaos Method
Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura
2022 International Symposium on Electromagnetic Compatibility – EMC Europe (2022), pp. 879-884
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
GPR-Based Framework for Statistical Analysis of Gate Delay under NBTI and Process Variation Effects
Aiguo Bu, Wang Rong-ke, Shuhao Jia, et al.
Electronics (2022) Vol. 11, Iss. 9, pp. 1336-1336
Open Access
Page 1

Scroll to top