Open Access Helper

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:

Quantum Phase Recognition via Quantum Kernel Methods
Yusen Wu, Bujiao Wu, Jingbo Wang, et al.
Quantum (2023) Vol. 7, pp. 981-981
Open Access | Times Cited: 23

Showing 23 citing articles:

A quantum federated learning framework for classical clients
Yanqi Song, Yusen Wu, Shengyao Wu, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 67, Iss. 5
Open Access | Times Cited: 37
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
Unravelling physics beyond the standard model with classical and quantum anomaly detection
Julian Schuhmacher, Laura Boggia, Vasilis Belis, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045031-045031
Open Access | Times Cited: 30
A resource-efficient quantum convolutional neural network
Yanqi Song, Jing Li, Yusen Wu, et al.
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 9
Multilevel Leapfrogging Initialization Strategy for Quantum Approximate Optimization Algorithm
Xiao‐Hui Ni, Bin‐Bin Cai, Hailing Liu, et al.
Advanced Quantum Technologies (2024) Vol. 7, Iss. 5
Closed Access | Times Cited: 5
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
Till Muser, Elias Zapusek, Vasilis Belis, et al.
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 3
Closed Access | Times Cited: 4
Light‐Cone Feature Selection for Quantum Machine Learning
Yudai Suzuki, Rei Sakuma, Hideaki Kawaguchi
Advanced Quantum Technologies (2025)
Open Access
Learning out-of-time-ordered correlators with classical kernel methods
John E. Tanner, Jason Pye, Jingbo Wang
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 14
Closed Access
Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
Daniel Pranjić, Philipp Kunst, Florian Knäble, et al.
Research Square (Research Square) (2025)
Closed Access
Numerical evidence against advantage with quantum fidelity kernels on classical data
Lucas Slattery, Ruslan Shaydulin, Shouvanik Chakrabarti, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 6
Open Access | Times Cited: 9
Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis
Walid El Maouaki, Taoufik Said, М. Беннаи
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
Mehmet Şahin, Benjamin C. B. Symons, Pushpak Pati, et al.
Quantum (2024) Vol. 8, pp. 1502-1502
Open Access | Times Cited: 2
Quantum data learning for quantum simulations in high-energy physics
Lento Nagano, Alexander Miessen, Tamiya Onodera, et al.
Physical Review Research (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 6
Classically optimized variational quantum eigensolver with applications to topological phases
K. Okada, Keita Osaki, Kosuke Mitarai, et al.
Physical Review Research (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 4
Quantum kernels for classifying dynamical singularities in a multiqubit system
Diego Tancara, José Fredes, Ariel Norambuena
Quantum Science and Technology (2024) Vol. 9, Iss. 3, pp. 035046-035046
Open Access | Times Cited: 1
Non-hemolytic peptide classification using a quantum support vector machine
Shengxin Zhuang, John J. Tanner, Yusen Wu, et al.
Quantum Information Processing (2024) Vol. 23, Iss. 11
Open Access | Times Cited: 1
Quantum-enhanced neural networks in the neural tangent kernel framework
Kouhei Nakaji, Hiroyuki Tezuka, Naoki Yamamoto
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4
Non-hemolytic Peptide Classification Using a Quantum Support Vector Machine
Shengxin Zhuang, John J. Tanner, Yusen Wu, et al.
Research Square (Research Square) (2024)
Open Access
Coreset selection can accelerate quantum machine learning models with provable generalization
Yiming Huang, Yuan Xiao, Huiyuan Wang, et al.
Physical Review Applied (2024) Vol. 22, Iss. 1
Open Access
Empirical Risk Minimization and Uniform Convergence for Probabilistically Observed and Quantum Measurement Hypothesis Classes
Abram Magner, Arun Padakandla
2022 IEEE International Symposium on Information Theory (ISIT) (2024), pp. 563-568
Closed Access
Fat shattering, joint measurability, and PAC learnability of POVM hypothesis classes
Abram Magner, Arun Padakandla
Quantum Information Processing (2024) Vol. 23, Iss. 10
Closed Access
Orbital expansion variational quantum eigensolver
Yusen Wu, Zigeng Huang, Jinzhao Sun, et al.
Quantum Science and Technology (2023) Vol. 8, Iss. 4, pp. 045030-045030
Open Access | Times Cited: 1
Quantum-classical hybrid neural networks in the neural tangent kernel regime
Kouhei Nakaji, Hiroyuki Tezuka, Naoki Yamamoto
Quantum Science and Technology (2023) Vol. 9, Iss. 1, pp. 015022-015022
Open Access
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