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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:

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

Showing 1-25 of 63 citing articles:

Quantum circuit architecture search for variational quantum algorithms
Yuxuan Du, Tao Huang, Shan You, et al.
npj Quantum Information (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 91
Quantum machine learning for chemistry and physics
Manas Sajjan, Junxu Li, Raja Selvarajan, et al.
Chemical Society Reviews (2022) Vol. 51, Iss. 15, pp. 6475-6573
Open Access | Times Cited: 91
Efficient Measure for the Expressivity of Variational Quantum Algorithms
Yuxuan Du, Zhuozhuo Tu, Xiao Yuan, et al.
Physical Review Letters (2022) Vol. 128, Iss. 8
Open Access | Times Cited: 84
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
QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines
Z.-F. Zhou, Yuxuan Du, Xinmei Tian, et al.
Physical Review Applied (2023) Vol. 19, Iss. 2
Open Access | Times Cited: 42
Theoretical error performance analysis for variational quantum circuit based functional regression
Jun Qi, Chao-Han Huck Yang, Pin‐Yu Chen, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 39
Experimental Evaluation of Quantum Machine Learning Algorithms
Ricardo Daniel Monteiro Simoes, Patrick Huber, Nicola Meier, et al.
IEEE Access (2023) Vol. 11, pp. 6197-6208
Open Access | Times Cited: 31
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 11, pp. 3307-3318
Open Access | Times Cited: 30
A survey on the complexity of learning quantum states
Anurag Anshu, Srinivasan Arunachalam
Nature Reviews Physics (2023) Vol. 6, Iss. 1, pp. 59-69
Closed Access | Times Cited: 28
Classical-to-quantum convolutional neural network transfer learning
Juhyeon Kim, Joonsuk Huh, Daniel K. Park
Neurocomputing (2023) Vol. 555, pp. 126643-126643
Open Access | Times Cited: 23
Quantum kernel methods for solving regression problems and differential equations
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 3
Open Access | Times Cited: 20
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
Quantum Language Model With Entanglement Embedding for Question Answering
Yi-Wei Chen, Yu Pan, Daoyi Dong
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 6, pp. 3467-3478
Open Access | Times Cited: 28
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
Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
Md Nadim, Mohammad Mehedi Hassan, Ashis Mandal, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access
Application of ZX-calculus to quantum architecture search
Tom Ewen, Ivica Turkalj, Patrick Holzer, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access
XY-mixer ansatz assisted by counterdiabatic driving for combinational optimization
Yue Ruan, Peinong Chen, Qi Li, et al.
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Learning Robust Observable to Address Noise in Quantum Machine Learning
Bikram Khanal, Pablo Rivas
Communications in computer and information science (2025), pp. 43-56
Closed Access
Variational quantum simulation of ground states and thermal states for lattice gauge theory with multi-objective optimization
Lei Cheng, Dan-Bo Zhang
Physics Letters A (2025), pp. 130516-130516
Closed Access
Unconditional advantage of noisy qudit quantum circuits over biased threshold circuits in constant depth
Michael de Oliveira, Sathyawageeswar Subramanian, Leandro Raffhael da Silva Mendes, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open 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
LFQAP: A Lightweight and Flexible Quantum Artificial Intelligence Application Platform
Xin Zhang, Xiaoyu Li, Yuexian Hou
Quantum Engineering (2025) Vol. 2025, Iss. 1
Open Access
Lean Classical‐Quantum Hybrid Neural Network Model for Image Classification
Ao Liu, Cuihong Wen, Jieci Wang
Advanced Quantum Technologies (2025)
Closed Access
The Dilemma of Quantum Neural Networks
Qian Yang, Xinbiao Wang, Yuxuan Du, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5603-5615
Open Access | Times Cited: 16
Linear Structure of Training Samples in Quantum Neural Network Applications
A. Mandl, Johanna Barzen, Marvin Bechtold, et al.
Lecture notes in computer science (2024), pp. 150-161
Closed Access | Times Cited: 3
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