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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:

On the Expressibility and Overfitting of Quantum Circuit Learning
Chih-Chieh Chen, Masaya Watabe, Kodai Shiba, et al.
ACM Transactions on Quantum Computing (2021) Vol. 2, Iss. 2, pp. 1-24
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Generalization in quantum machine learning from few training data
C. Matthias, Hsin-Yuan Huang, M. Cerezo, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 254
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs, Zoë Holmes, C. Matthias, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 17
Encoding-dependent generalization bounds for parametrized quantum circuits
C. Matthias, Elies Gil-Fuster, Johannes Jakob Meyer, et al.
Quantum (2021) Vol. 5, pp. 582-582
Open Access | Times Cited: 77
Learnability of Quantum Neural Networks
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, et al.
PRX Quantum (2021) Vol. 2, Iss. 4
Open Access | Times Cited: 63
Exponential concentration and untrainability in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 46
Out-of-distribution generalization for learning quantum dynamics
C. Matthias, Hsin-Yuan Huang, Nicholas Ezzell, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
Farina Riaz, Shahab Abdulla, Hajime Suzuki, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2753-2753
Open Access | Times Cited: 20
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
C. Matthias
ACM Transactions on Quantum Computing (2024) Vol. 5, Iss. 2, pp. 1-53
Open Access | Times Cited: 7
Variational quantum process tomography of unitaries
Shichuan Xue, Yong Liu, Yan Wang, et al.
Physical review. A/Physical review, A (2022) Vol. 105, Iss. 3
Open Access | Times Cited: 23
Estimation of mutual information via quantum kernel methods
Yota Maeda, Hideaki Kawaguchi, Hiroyuki Tezuka
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access
Integration of parameterized quantum circuits within classical neural network for financial time-series prediction
Sachin Khurana, Manisha J. Nene
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access
Expressivity of Variational Quantum Machine Learning on the Boolean Cube
Dylan Herman, Rudy Raymond, Muyuan Li, et al.
IEEE Transactions on Quantum Engineering (2023) Vol. 4, pp. 1-18
Open Access | Times Cited: 9
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs, Zoë Holmes, C. Matthias, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 12
Quantum Computing in The Cloud - A Systematic Literature Review
Amirul Asyraf Zhahir, Siti Munirah Mohd, Mohd Ilias M Shuhud, et al.
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 2, pp. 185-200
Open Access | Times Cited: 2
A Quantum-Computing-Based Method for Solving Quantum Confinement Problem in Semiconductor
Ning Yang, Jing Guo
IEEE Transactions on Electron Devices (2023) Vol. 70, Iss. 3, pp. 1366-1373
Closed Access | Times Cited: 5
Estimation of mutual information via quantum kernel methods
Yota Maeda, Hiroyuki Tezuka, Hideaki Kawaguchi
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Classification Analysis of Transition Metal Compounds Using Quantum Machine Learning
Kurudi V Vedavyasa, Ashok Kumar
Advanced Quantum Technologies (2024)
Open Access | Times Cited: 1
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
C. Matthias
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Quantum-Inspired Classification Algorithm from DBSCAN–Deutsch–Jozsa Support Vectors and Ising Prediction Model
Kodai Shiba, Chih-Chieh Chen, Masaru Sogabe, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11386-11386
Open Access | Times Cited: 4
The expressivity of classical and quantum neural networks on entanglement entropy
Chih-Hung Wu, Ching-Che Yen
The European Physical Journal C (2024) Vol. 84, Iss. 2
Open Access
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
Shamminuj Aktar, Andreas Baertschi, Abdel‐Hameed A. Badawy, et al.
(2024)
Open Access
Optimal depth and a novel approach to variational unitary quantum process tomography
Vladlen Galetsky, Pol Julià Farré, Soham Ghosh, et al.
New Journal of Physics (2024) Vol. 26, Iss. 7, pp. 073017-073017
Open Access
Post-training approach for mitigating overfitting in quantum convolutional neural networks
Aakash Ravindra Shinde, Charu Jain, Amir Kalev
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 4
Open Access
Solving transport equations on quantum computers—potential and limitations of physics-informed quantum circuits
Pia Siegl, Simon Wassing, Dirk Markus Mieth, et al.
CEAS Aeronautical Journal (2024)
Open Access
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