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:

Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Optimization of 4D/3D printing via machine learning: A systematic review
Yakubu Adekunle Alli, Hazleen Anuar, Mohd Romainor Manshor, et al.
Hybrid Advances (2024) Vol. 6, pp. 100242-100242
Open Access | Times Cited: 15

Enhancing Cyber Security Using Quantum Computing and Artificial Intelligence: A Review
Shoumya Singh, Deepak Kumar
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 4-11
Open Access | Times Cited: 5

Quantum deep learning in neuroinformatics: a systematic review
Nabil Anan Orka, Md. Abdul Awal, Píetro Lió, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access

Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma
Domenico Pomarico, A. Monaco, Nicola Amoroso, et al.
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 4

Data-dependent generalization bounds for parameterized quantum models under noise
Bikram Khanal, Pablo Rivas
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access

Single-shot quantum machine learning
Erik Recio-Armengol, Jens Eisert, Johannes Jakob Meyer
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 4
Open Access

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
Tobias Haug, M. S. Kim
Physical Review Letters (2024) Vol. 133, Iss. 5
Open Access | Times Cited: 3

A General Approach to Dropout in Quantum Neural Networks
Francesco Scala, Andrea Ceschini, Massimo Panella, et al.
Advanced Quantum Technologies (2023)
Open Access | Times Cited: 7

Quantum Inspired Image Classification: A Hybrid SVM Framework
Heet Patel, Sneha Kamthekar, Dinesh Prajapati, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-7
Closed Access | Times Cited: 2

What can we Learn from Quantum Convolutional Neural Networks?
Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, et al.
Advanced Quantum Technologies (2024)
Open Access | Times Cited: 2

QHopNN: Investigating Quantum Advantage in Cryptanalysis Using a Quantum Hopfield Neural Network
S. Hariharasitaraman, Nilamadhab Mishra, D Vishnuvardhanan
Physica Scripta (2024) Vol. 99, Iss. 8, pp. 086002-086002
Closed Access

Quantum Machine Learning Enhanced Event Detection in Geo-Energy Production Systems
Alejandro Martin Gil, Pejman Shoeibi Omrani
(2024)
Closed Access

Mathematical and Statistical Frameworks Fostering Advances in AI Systems and Computing
Teresa Oliveira, M. Filomena Teodoro
Lecture notes in computer science (2024), pp. 235-246
Closed Access

Quantum deep generative prior with programmable quantum circuits
Tailong Xiao, Xinliang Zhai, Jingzheng Huang, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access

Training robust and generalizable quantum models
Julian Berberich, Daniel Fink, Daniel Pranjić, et al.
Physical Review Research (2024) Vol. 6, Iss. 4
Open Access

Generalization error bound for quantum machine learning in NISQ era—a survey
Bikram Khanal, Pablo Rivas, Arun Sanjel, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access

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