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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:

Machine Learning Approach to Quadratic Programming-Based Microwave Imaging for Breast Cancer Detection
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
Sensors (2022) Vol. 22, Iss. 11, pp. 4122-4122
Open Access | Times Cited: 19

Showing 19 citing articles:

A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA)
Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106617-106617
Closed Access | Times Cited: 28
Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis
Mowafaq Salem Alzboon, Sami Qawasmeh, Muhyeeddin Alqaraleh, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 17
Applications of Microwaves in Medicine Leveraging Artificial Intelligence: Future Perspectives
Keerthy Gopalakrishnan, Aakriti Adhikari, Namratha Pallipamu, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1101-1101
Open Access | Times Cited: 16
Ultra-Wideband (UWB) Antennas for Breast Cancer Detection with Microwave Imaging: A Review
Tale Saeidi, Sarmad Nozad Mahmood, Sahar Saleh, et al.
Results in Engineering (2025) Vol. 25, pp. 104167-104167
Open Access
Revealing the Invisible: Imaging Through Non-Radiating Subspace
Hamidreza Siampour, Abolghasem Zeidaabadi Nezhad
Deleted Journal (2024)
Open Access | Times Cited: 4
Fast and Accurate CNN-Based Machine Learning Approach for Microwave Medical Imaging in Cancer Detection
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
IEEE Access (2023) Vol. 11, pp. 66063-66075
Open Access | Times Cited: 11
Enhanced Machine Learning Approach for Accurate and Fast Resolution of Inverse Scattering Problem in Breast Cancer Detection
Sandra Costanzo, Alexandra Flores
Electronics (2022) Vol. 11, Iss. 15, pp. 2308-2308
Open Access | Times Cited: 9
Machine Learning Approach to Microwave Imaging for Cancer Detection
Alexandra Flores, Giovanni Buonanno, Sandra Costanzo
2022 16th European Conference on Antennas and Propagation (EuCAP) (2023), pp. 1-4
Closed Access | Times Cited: 3
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Alessio Bottrighi, Marzio Pennisi
Information (2023) Vol. 14, Iss. 9, pp. 513-513
Open Access | Times Cited: 3
Machine Learning Methods for Microwave Imaging in Cancer Detection
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2022), pp. 1-5
Closed Access | Times Cited: 5
Gaussian Mixture Model-Hierarchical Domain Constraint Framework Enhanced VBIM for Solving the Inverse Scattering Problems
Hongguang Zhou, Yanwen Zhao, Yan Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access
New zeroing NN models with nonconvex saturated activation functions in noisy environments for quadratic minimization dynamics and control
Tangtao Luo, Guancheng Wang, Xiuchun Xiao
Journal of Computational and Applied Mathematics (2024) Vol. 448, pp. 115884-115884
Closed Access
Microwave Breast Imaging for Cancer Diagnosis: An overview [Bioelectromagnetics]
João M. Felício, Raquel A. Martins, Jorge R. Costa, et al.
IEEE Antennas and Propagation Magazine (2024) Vol. 66, Iss. 4, pp. 85-97
Closed Access
Microwave Imaging for Brain Cancer Detection: Enhanced Accuracy with Machine Learning Approach
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 519-524
Closed Access | Times Cited: 1
Machine Learning Approach to Enhanced Resolution of Inverse Scattering for Cancer Detection
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
2022 Photonics & Electromagnetics Research Symposium (PIERS) (2023), pp. 1692-1697
Closed Access
Deep Learning Enhancement of Born Iterative-Based Inverse Scattering Solution for Breast Cancer Detection
Sandra Costanzo, Alexandra Flores
2022 IEEE Conference on Antenna Measurements and Applications (CAMA) (2023), pp. 719-722
Closed Access
Machine Learning Architectures for Microwave Imaging with Enhanced Reconstruction
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
(2023), pp. 1-3
Closed Access
Segmentation Approach for Enhanced Biomedical Microwave Imaging
Sandra Costanzo, Alexandra Flores, Giovanni Buonanno
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 513-518
Closed Access
Create Combined Thermometric Datasets for Machine Learning in Medicine
Maxim Polyakov, А. В. Хоперсков
2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) (2022), pp. 01-06
Closed Access
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