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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:

Problem-Dependent Power of Quantum Neural Networks on Multiclass Classification
Yuxuan Du, Yibo Yang, Dacheng Tao, et al.
Physical Review Letters (2023) Vol. 131, Iss. 14
Open Access | Times Cited: 16

Showing 16 citing articles:

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: 18
Harnessing quantum power using hybrid quantum deep neural network for advanced image taxonomy
Ajmeera Kiran, TDNSS. Sarveswara Rao, Anandbabu Gopatoti, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 4
Closed Access | Times Cited: 12
Transition role of entangled data in quantum machine learning
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers
Qingyu Li, Yuhan Huang, Xiaokai Hou, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 4
Multimodal Deep Representation Learning for Quantum Cross-Platform Verification
Yang Qian, Yuxuan Du, Zhenliang He, et al.
Physical Review Letters (2024) Vol. 133, Iss. 13
Closed Access | Times Cited: 4
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
Quantum phase processing and its applications in estimating phase and entropies
Youle Wang, Lei Zhang, Zhan Yu, et al.
Physical review. A/Physical review, A (2023) Vol. 108, Iss. 6
Open Access | Times Cited: 10
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
Quantum convolutional neural networks for multiclass image classification
Shangshang Shi, Zhimin Wang, Jiaxin Li, et al.
Quantum Information Processing (2024) Vol. 23, Iss. 5
Closed Access
Quantum classifiers with a trainable kernel
Li Xu, Xiaoyu Zhang, Ming Li, et al.
Physical Review Applied (2024) Vol. 21, Iss. 5
Closed Access
Channel attention for quantum convolutional neural networks
Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi, et al.
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 1
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
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
Transition role of entangled data in quantum machine learning
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, et al.
arXiv (Cornell University) (2023)
Open Access
Channel Attention for Quantum Convolutional Neural Networks
Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi, et al.
arXiv (Cornell University) (2023)
Open Access
Quantum Phase Processing and its Applications in Estimating Phase and Entropies
Youle Wang, Lei Zhang, Zhan Yu, et al.
arXiv (Cornell University) (2022)
Open Access
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