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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:

Hybrid Quantum–Classical Generative Adversarial Network for High-Resolution Image Generation
S. Tsang, Maxwell T. West, Sarah M. Erfani, et al.
IEEE Transactions on Quantum Engineering (2023) Vol. 4, pp. 1-19
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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
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: 33
Quantum Computing: Circuits, Algorithms, and Applications
Muhammad Ali Shafique, Arslan Munir, Imran Latif
IEEE Access (2024) Vol. 12, pp. 22296-22314
Open Access | Times Cited: 13
Provably Trainable Rotationally Equivariant Quantum Machine Learning
Maxwell T. West, Jamie Heredge, M. E. Sevior, et al.
PRX Quantum (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 11
Reflection equivariant quantum neural networks for enhanced image classification
Maxwell T. West, M. E. Sevior, Muhammad Usman
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035027-035027
Open Access | Times Cited: 22
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
Maxwell T. West, Azar C. Nakhl, Jamie Heredge, et al.
Intelligent Computing (2024) Vol. 3
Open Access | Times Cited: 7
Quantum adversarial generation of high-resolution images
QuanGong Ma, ChaoLong Hao, Nianwen Si, et al.
EPJ Quantum Technology (2025) Vol. 12, Iss. 1
Open Access
Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning based Optimizations
Pratibha Kumari, Sai Babu Veesam, Kannaiah Chattu, et al.
IEEE Access (2025) Vol. 13, pp. 20491-20511
Open Access
Improved quantum singular value-based channel estimation algorithm for mmWave massive MIMO systems
Xiaoli Jing, Xianpeng Wang, Ting Su, et al.
The European Physical Journal Plus (2025) Vol. 140, Iss. 3
Closed Access
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
Deep Learning Approach for ASD Detection with GAN-Driven MRI Data Augmentation
Sanju S. Anand, Shashidhar Kini
International Journal of Management Technology and Social Sciences (2025), pp. 78-93
Open Access
The visual communication using generative artificial intelligence in the context of new media
Weinan Liu, Hyung-Gi Kim
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Conditional quantum circuit Born machine based on a hybrid quantum–classical​ framework
Qingwei Zeng, Hong-Ying Ge, Chen Gong, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 618, pp. 128693-128693
Closed Access | Times Cited: 10
The role of data embedding in equivariant quantum convolutional neural networks
Sreetama Das, Stefano Martina, Filippo Caruso
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 3
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
Daniel Silver, Aditya Ranjan, Tirthak Patel, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 7007-7016
Open Access | Times Cited: 4
Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation
Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, et al.
IEEE Transactions on Quantum Engineering (2024) Vol. 5, pp. 1-14
Open Access | Times Cited: 1
Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
Sahil Nokhwal, Suman Nokhwal, Saurabh Pahune, et al.
(2024), pp. 105-109
Open Access | Times Cited: 1
Letter: Why consider quantum instead classical pattern recognition techniques?
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112096-112096
Closed Access | Times Cited: 1
Permutation-equivariant quantum convolutional neural networks
Sreetama Das, Filippo Caruso
Quantum Science and Technology (2024) Vol. 10, Iss. 1, pp. 015030-015030
Open Access | Times Cited: 1
Enhancing Financial Time Series Prediction with Quantum-Enhanced Synthetic Data Generation: A Case Study on the S&P 500 Using a Quantum Wasserstein Generative Adversarial Network Approach with a Gradient Penalty
Filippo Orlandi, Enrico Barbierato, Alice Gatti
Electronics (2024) Vol. 13, Iss. 11, pp. 2158-2158
Open Access | Times Cited: 1
Quantum machine learning for image classification
Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Quantum Neural Networks: A Novel Architecture for Hybrid Quantum-Classical Algorithms
Srinivasa Rao Gundu
Research Square (Research Square) (2024)
Open Access
Why Consider Quantum Instead Classical Pattern Recognition Techniques?
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa, et al.
(2024)
Closed Access
Radial Basis Function-based Quantum Hybrid Classical Generative Adversarial Networks for Enhanced Image Quality and Training Stability
Zuyu Xu, Tao Yang, Pengnian Cai, et al.
Research Square (Research Square) (2024)
Open Access
Letter: Why Consider Quantum Instead Classical Pattern Recognition Techniques?
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa, et al.
(2024)
Closed Access
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