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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:

QDNN: deep neural networks with quantum layers
Chen Zhao, Xiao-Shan Gao
Quantum Machine Intelligence (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A shallow hybrid classical–quantum spiking feedforward neural network for noise-robust image classification
Debanjan Konar, Aditya Das Sarma, Soham Bhandary, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110099-110099
Closed Access | Times Cited: 39
Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks
Emmanuel Ovalle-Magallanes, Dora E. Alvarado-Carrillo, Juan Gabriel Avina–Cervantes, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110307-110307
Closed Access | Times Cited: 21
Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery
Maria Avramouli, Ilias Κ. Savvas, Anna Vasilaki, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2402-2402
Open Access | Times Cited: 17
RGB image classification with quantum convolutional ansatz
Jing Yu, Xiaogang Li, Yang Yang, et al.
Quantum Information Processing (2022) Vol. 21, Iss. 3
Closed Access | Times Cited: 26
An Overview of Quantum Machine Learning Research in China
Luning Li, Xuchen Zhang, Zhicheng Cui, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2555-2555
Open Access
Tensor ring optimized quantum-enhanced tensor neural networks
Debanjan Konar, Dheeraj Peddireddy, Bijaya Ketan Panigrahi, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access
Hybrid Quantum-Classical Algorithms for Neural Network-Based Binary Disease Classification
Md Arquam, Vinay Kumar Pathak, Vishwas Tripathi, et al.
Communications in computer and information science (2025), pp. 337-348
Closed Access
An Evaluation of Hardware-Efficient Quantum Neural Networks for Image Data Classification
Tuyen Nguyen, Incheon Paik, Yutaka Watanobe, et al.
Electronics (2022) Vol. 11, Iss. 3, pp. 437-437
Open Access | Times Cited: 15
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction
Andrea Ceschini, Antonello Rosato, Massimo Panella
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 15
Quantum-convolution-based hybrid neural network model for arrhythmia detection
Shiyue Zhang, Aijuan Wang, Lusi Li
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access | Times Cited: 3
Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning
Eva Andrés, Manuel Pegalájar Cuéllar, Gabriel Navarro
IEEE Access (2023) Vol. 11, pp. 104534-104553
Closed Access | Times Cited: 8
Quantum Computing and Machine Learning on an Integrated Photonics Platform
Huihui Zhu, Hexiang Lin, Shaojun Wu, et al.
Information (2024) Vol. 15, Iss. 2, pp. 95-95
Open Access | Times Cited: 2
A variational approach to quantum gated recurrent units
Andrea Ceschini, Antonello Rosato, Massimo Panella
Journal of Physics Communications (2024) Vol. 8, Iss. 8, pp. 085004-085004
Open Access | Times Cited: 2
On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios
Eva Andrés, Manuel Pegalájar Cuéllar, Gabriel Navarro
Energies (2022) Vol. 15, Iss. 16, pp. 6034-6034
Open Access | Times Cited: 10
Traffic Sign Classification Using Deep and Quantum Neural Networks
Sylwia Kuros, Tomasz Kryjak
Lecture notes in networks and systems (2023), pp. 43-55
Closed Access | Times Cited: 5
Investigating the Effects of Hyperparameters in Quantum-Enhanced Deep Reinforcement Learning
Getahun Fikadu Tilaye, Amit Pandey
Quantum Engineering (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 4
Deep Spiking Quantum Neural Network for Noisy Image Classification
Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-10
Closed Access | Times Cited: 4
Hybrid Quantum Neural Network Approaches to Protein–Ligand Binding Affinity Prediction
Maria Avramouli, Ilias Κ. Savvas, Anna Vasilaki, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2372-2372
Open Access | Times Cited: 1
Novel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images
Jason Elroy Martis, M S Sannidhan, R. Balasubramani, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 799-799
Open Access | Times Cited: 1
Traffic Sign Classification Using Deep and Quantum Neural Networks
Sylwia Kuros, Tomasz Kryjak
(2022)
Open Access | Times Cited: 4
Quantum Machine Learning with Quantum Image Representations
Tuyen Nguyen, Incheon Paik, H. Sagawa, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2022), pp. 851-854
Closed Access | Times Cited: 4
From Quantum Computing to Quantum-inspired Computation for Neuromorphic Advancement – A Survey
Ravi Kumar Jha
(2023)
Open Access | Times Cited: 2
From Quantum Computing to Quantum-inspired Computation for Neuromorphic Advancement – A Survey
Ravi Kumar Jha
(2023)
Open Access | Times Cited: 1
Design of a novel hybrid quantum deep neural network in INEQR images classification
Shuang Wang, Ke-Han Wang, Tao Cheng, et al.
Chinese Physics B (2024) Vol. 33, Iss. 6, pp. 060310-060310
Open Access
Brain-inspired agents for Quantum Reinforcement Learning
Eva Andrés, Manuel Pegalájar Cuéllar, Gabriel Navarro
(2024)
Open Access
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