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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:

Classical versus quantum models in machine learning: insights from a finance application
Javier Alcazar, Vicente Leyton‐Ortega, Alejandro Perdomo‐Ortiz
Machine Learning Science and Technology (2020) Vol. 1, Iss. 3, pp. 035003-035003
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Noisy intermediate-scale quantum algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, et al.
Reviews of Modern Physics (2022) Vol. 94, Iss. 1
Open Access | Times Cited: 1038
Challenges and opportunities in quantum machine learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 9, pp. 567-576
Closed Access | Times Cited: 288
Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer
Manuel S. Rudolph, Ntwali Bashige Toussaint, Amara Katabarwa, et al.
Physical Review X (2022) Vol. 12, Iss. 3
Open Access | Times Cited: 75
Quantum machine learning: from physics to software engineering
Alexey Melnikov, Mohammad Kordzanganeh, A. P. Alodjants, et al.
Advances in Physics X (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 48
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 10, pp. 12321-12340
Open Access | Times Cited: 48
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 21
FinTech: a literature review of emerging financial technologies and applications
Gang Kou, Yang Lu
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Fintech Frontiers in Quantum Computing, Fractals, and Blockchain Distributed Ledger: Paradigm Shifts and Open Innovation
Narcisa Roxana Moşteanu, Alessio Faccia
Journal of Open Innovation Technology Market and Complexity (2021) Vol. 7, Iss. 1, pp. 19-19
Open Access | Times Cited: 90
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
Marc Botifoll, Ivan Pinto‐Huguet, Jordi Arbiol
Nanoscale Horizons (2022) Vol. 7, Iss. 12, pp. 1427-1477
Open Access | Times Cited: 65
Enhancing Generative Models via Quantum Correlations
Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang, et al.
Physical Review X (2022) Vol. 12, Iss. 2
Open Access | Times Cited: 51
Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms
Mohammad Kordzanganeh, Markus Buchberger, Basil Kyriacou, et al.
Advanced Quantum Technologies (2023) Vol. 6, Iss. 8
Open Access | Times Cited: 33
Verifiable Blind Quantum Computing with Trapped Ions and Single Photons
P. Drmota, D. P. Nadlinger, D. Main, et al.
Physical Review Letters (2024) Vol. 132, Iss. 15
Open Access | Times Cited: 15
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Implementation of Quantum Machine Learning in Predicting Corrosion Inhibition Efficiency of Expired Drugs
Muhammad Reesa Rosyid, Lubna Mawaddah, Akbar Priyo Santosa, et al.
Materials Today Communications (2024) Vol. 40, pp. 109830-109830
Closed Access | Times Cited: 9
Variational Inference with a Quantum Computer
Marcello Benedetti, Brian Coyle, Mattia Fiorentini, et al.
Physical Review Applied (2021) Vol. 16, Iss. 4
Open Access | Times Cited: 43
Do quantum circuit Born machines generalize?
Kaitlin Gili, Mohamed Hibat-Allah, Marta Mauri, et al.
Quantum Science and Technology (2023) Vol. 8, Iss. 3, pp. 035021-035021
Open Access | Times Cited: 20
Hybrid quantum ResNet for car classification and its hyperparameter optimization
Asel Sagingalieva, Mo Kordzanganeh, Andrii Kurkin, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 19
Generalization metrics for practical quantum advantage in generative models
Kaitlin Gili, Marta Mauri, Alejandro Perdomo‐Ortiz
Physical Review Applied (2024) Vol. 21, Iss. 4
Open Access | Times Cited: 7
Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025045-025045
Open Access | Times Cited: 7
Improved financial forecasting via quantum machine learning
Sohum Thakkar, Skander Kazdaghli, Natansh Mathur, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Quantum versus classical generative modelling in finance
Brian Coyle, M. Todd Henderson, Justin Chan Jin Le, et al.
Quantum Science and Technology (2020) Vol. 6, Iss. 2, pp. 024013-024013
Open Access | Times Cited: 37
Quantum computer-aided design of quantum optics hardware
Jakob S. Kottmann, Mario Krenn, Thi Ha Kyaw, et al.
Quantum Science and Technology (2021) Vol. 6, Iss. 3, pp. 035010-035010
Open Access | Times Cited: 28
Extending the variational quantum eigensolver to finite temperatures
Johannes Selisko, Maximilian Amsler, Thomas Hammerschmidt, et al.
Quantum Science and Technology (2023) Vol. 9, Iss. 1, pp. 015026-015026
Open Access | Times Cited: 11
A characterization of quantum generative models
Carlos A. Riofrío, Oliver Mitevski, C. R. Jones, et al.
ACM Transactions on Quantum Computing (2024) Vol. 5, Iss. 2, pp. 1-34
Open Access | Times Cited: 4
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Huiling Chen, Paul Griffin, Paolo Recchia, et al.
(2025)
Open Access
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