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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:

Recent advances for quantum classifiers
Weikang Li, Dong-Ling Deng
Science China Physics Mechanics and Astronomy (2021) Vol. 65, Iss. 2
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Machine learning in nuclear physics at low and intermediate energies
W. He, Qingfeng Li, Y. G., et al.
Science China Physics Mechanics and Astronomy (2023) Vol. 66, Iss. 8
Open Access | Times Cited: 66
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: 49
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
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 machine learning of large datasets using randomized measurements
Tobias Haug, Chris N. Self, M. S. Kim
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015005-015005
Open Access | Times Cited: 33
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
Quantum deep learning-based anomaly detection for enhanced network security
Moe Hdaib, Sutharshan Rajasegarar, Lei Pan
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 13
Quantum transfer learning for acceptability judgements
Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 9
Unlocking the high dimensional’ potential: Comparative analysis of qubits and qutrits in variational quantum neural networks
Erdi Acar, İhsan Yılmaz
Neurocomputing (2025) Vol. 623, pp. 129404-129404
Closed Access | Times Cited: 1
Quantum machine learning: a systematic categorization based on learning paradigms, NISQ suitability, and fault tolerance
Bisma Majid, Shabir Ahmad Sofi, Zamrooda Jabeen
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 1
Variational quantum reinforcement learning via evolutionary optimization
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, et al.
Machine Learning Science and Technology (2021) Vol. 3, Iss. 1, pp. 015025-015025
Open Access | Times Cited: 51
Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning
Denis Bokhan, Alena S. Mastiukova, Aleksey S. Boev, et al.
Frontiers in Physics (2022) Vol. 10
Open Access | Times Cited: 33
Quantum Neural Network Classifiers: A Tutorial
Weikang Li, Zhide Lu, Dong-Ling Deng
SciPost Physics Lecture Notes (2022)
Open Access | Times Cited: 31
Advances in Quantum Machine Learning and Deep Learning for Image Classification: A Survey
Ruba Kharsa, Ahmed Bouridane, Abbes Amira
Neurocomputing (2023) Vol. 560, pp. 126843-126843
Closed Access | Times Cited: 22
Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers
Alon Kukliansky, Marko Orescanin, Chad Bollmann, et al.
IEEE Transactions on Quantum Engineering (2024) Vol. 5, pp. 1-11
Open Access | Times Cited: 6
EEG-based motor imagery classification with quantum algorithms
Cynthia Olvera, Oscar Montiel, Yoshio Rubio
Expert Systems with Applications (2024) Vol. 247, pp. 123354-123354
Closed Access | Times Cited: 6
Quantum Kernels for Real-World Predictions Based on Electronic Health Records
Zoran Krunic, Frederik F. Flöther, George Seegan, et al.
IEEE Transactions on Quantum Engineering (2022) Vol. 3, pp. 1-11
Open Access | Times Cited: 27
Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine learning technique
R. K. Ahalya, U. Snekhalatha, Varun Dhanraj
Journal of Thermal Biology (2022) Vol. 111, pp. 103404-103404
Open Access | Times Cited: 23
A duplication-free quantum neural network for universal approximation
Xiaokai Hou, Guanyu Zhou, Qingyu Li, et al.
Science China Physics Mechanics and Astronomy (2023) Vol. 66, Iss. 7
Closed Access | Times Cited: 16
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 machine learning‐based framework to detect heart failures in Healthcare 4.0
Manushi Munshi, Rajesh Gupta, Nilesh Kumar Jadav, et al.
Software Practice and Experience (2023) Vol. 54, Iss. 2, pp. 168-185
Closed Access | Times Cited: 14
Mitigating Barren Plateaus of Variational Quantum Eigensolvers
Xia Liu, Geng Liu, Hao-Kai Zhang, et al.
IEEE Transactions on Quantum Engineering (2024), pp. 1-19
Open Access | Times Cited: 6
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
Enhancing quantum adversarial robustness by randomized encodings
Weiyuan Gong, Yuan Dong, Weikang Li, et al.
Physical Review Research (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 5
Classification of Potentially Hazardous Asteroids Using Supervised Quantum Machine Learning
Rushir Bhavsar, Nilesh Kumar Jadav, Umesh Bodkhe, et al.
IEEE Access (2023) Vol. 11, pp. 75829-75848
Open Access | Times Cited: 13
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