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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:

Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases
J. Herrmann, Sergi Masot-Llima, Ants Remm, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
He-Liang Huang, Xiaoyue Xu, Chu Guo, et al.
Science China Physics Mechanics and Astronomy (2023) Vol. 66, Iss. 5
Closed Access | Times Cited: 55
Quantum machine learning for image classification
Arsenii Senokosov, Alexandr Sedykh, Asel Sagingalieva, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015040-015040
Open Access | Times Cited: 34
Experimental quantum adversarial learning with programmable superconducting qubits
Wenhui Ren, Weikang Li, Shibo Xu, et al.
Nature Computational Science (2022) Vol. 2, Iss. 11, pp. 711-717
Open Access | Times Cited: 67
Quantum Neural Network for Quantum Neural Computing
Min-Gang Zhou, Zhiping Liu, Hua‐Lei Yin, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 33
Quantum phase detection generalization from marginal quantum neural network models
Saverio Monaco, Oriel Kiss, Antonio Mandarino, et al.
Physical review. B./Physical review. B (2023) Vol. 107, Iss. 8
Open Access | Times Cited: 31
Deep quantum neural networks on a superconducting processor
Xiaoxuan Pan, Zhide Lu, Weiting Wang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Quantum reservoir computing implementation on coherently coupled quantum oscillators
Julien Dudas, Baptiste Carles, Erwan Plouet, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 26
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification
Fan Fan, Yilei Shi, Tobias Guggemos, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1-15
Open Access | Times Cited: 24
Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
Yaswitha Gujju, Atsushi Matsuo, Rudy Raymond
Physical Review Applied (2024) Vol. 21, Iss. 6
Open Access | Times Cited: 14
An Embedded Machine Learning Fault Detection System for Electric Fan Drive
Khin Htet Htet Aung, Chiang Liang Kok, Yit Yan Koh, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 493-493
Open Access | Times Cited: 13
Enhancing Dispersive Readout of Superconducting Qubits through Dynamic Control of the Dispersive Shift: Experiment and Theory
François Swiadek, Ross Shillito, Paul Magnard, et al.
PRX Quantum (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 10
Multi-scale feature fusion quantum depthwise Convolutional Neural Networks for text classification
Yixiong Chen, Weichuan Fang
Engineering Analysis with Boundary Elements (2025) Vol. 174, pp. 106158-106158
Open Access | Times Cited: 1
Self-reasoning assisted learning for non-Abelian gauge fields design
Jinyang Sun, Xi Chen, Wang Xiu, et al.
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 9
Closed Access | Times Cited: 1
Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer
James Dborin, Vinul Wimalaweera, Fergus Barratt, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 33
Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
Yu-Jie Liu, Adam Smith, Michael Knap, et al.
Physical Review Letters (2023) Vol. 130, Iss. 22
Open Access | Times Cited: 20
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms
Zhiding Liang, Jinglei Cheng, Hang Ren, et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024) Vol. 43, Iss. 6, pp. 1834-1847
Open Access | Times Cited: 8
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
Finite-size criticality in fully connected spin models on superconducting quantum hardware
Michele Grossi, Oriel Kiss, Francesco De Luca, et al.
Physical review. E (2023) Vol. 107, Iss. 2
Open Access | Times Cited: 15
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
Spintronic materials and devices towards an artificial neural network: accomplishments and the last mile
Rudis Ismael Salinas, Po-Chuan Chen, Chao‐Yao Yang, et al.
Materials Research Letters (2022) Vol. 11, Iss. 5, pp. 305-326
Open Access | Times Cited: 17
Quantum recurrent neural networks for sequential learning
Yanan Li, Zhimin Wang, Rongbing Han, et al.
Neural Networks (2023) Vol. 166, pp. 148-161
Open Access | Times Cited: 10
Quantum Neural Network Boosting Identifying Orbital Angular Momentum Modes
Badreddine Merabet, Liulin Li, Syed Afaq Ali Shah, et al.
Advanced Quantum Technologies (2025)
Closed Access
Sequence processing with quantum-inspired tensor networks
Carys Harvey, Richie Yeung, Konstantinos Meichanetzidis
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Uncovering quantum many-body scars with quantum machine learning
Jia-Jin Feng, Bingzhi Zhang, Zhi-Cheng Yang, et al.
npj Quantum Information (2025) Vol. 11, Iss. 1
Open Access
Exact Quantum Algorithms for Quantum Phase Recognition: Renormalization Group and Error Correction
Ethan Lake, Shankar Balasubramanian, Soonwon Choi
PRX Quantum (2025) Vol. 6, Iss. 1
Open Access
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