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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:

Quantum machine learning and quantum biomimetics: A perspective
Lucas Lamata
Machine Learning Science and Technology (2020) Vol. 1, Iss. 3, pp. 033002-033002
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Solving nonlinear differential equations with differentiable quantum circuits
Oleksandr Kyriienko, Annie E. Paine, Vincent E. Elfving
Physical review. A/Physical review, A (2021) Vol. 103, Iss. 5
Open Access | Times Cited: 130
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116512-116512
Closed Access | Times Cited: 94
Artificial intelligence and machine learning for quantum technologies
Mario Krenn, Jonas Landgraf, Thomas Foesel, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 1
Open Access | Times Cited: 73
Quantum machine learning: from physics to software engineering
Alexey Melnikov, Mohammad Kordzanganeh, A. P. Alodjants, et al.
Advances in Physics X (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 48
Quantum implementation of an artificial feed-forward neural network
Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, et al.
Quantum Science and Technology (2020) Vol. 5, Iss. 4, pp. 044010-044010
Open Access | Times Cited: 71
Quantum Machine Learning: A tutorial
José D. Martín‐Guerrero, Lucas Lamata
Neurocomputing (2021) Vol. 470, pp. 457-461
Open Access | Times Cited: 62
Nanowire-based integrated photonics for quantum information and quantum sensing
Jin Chang, Jun Gao, Iman Esmaeil Zadeh, et al.
Nanophotonics (2023) Vol. 12, Iss. 3, pp. 339-358
Open Access | Times Cited: 41
Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms
Mohammad Kordzanganeh, Markus Buchberger, Basil Kyriacou, et al.
Advanced Quantum Technologies (2023) Vol. 6, Iss. 8
Open Access | Times Cited: 33
Quantum Computing in Medicine
James C. L. Chow
Medical Sciences (2024) Vol. 12, Iss. 4, pp. 67-67
Open Access | Times Cited: 8
To quantum or not to quantum: towards algorithm selection in near-term quantum optimization
Charles Moussa, Henri Calandra, Vedran Dunjko
Quantum Science and Technology (2020) Vol. 5, Iss. 4, pp. 044009-044009
Open Access | Times Cited: 50
Variational Inference with a Quantum Computer
Marcello Benedetti, Brian Coyle, Mattia Fiorentini, et al.
Physical Review Applied (2021) Vol. 16, Iss. 4
Open Access | Times Cited: 43
Quantum Neuromorphic Computing with Reservoir Computing Networks
Sanjib Ghosh, Kohei Nakajima, Tanjung Krisnanda, et al.
Advanced Quantum Technologies (2021) Vol. 4, Iss. 9
Closed Access | Times Cited: 43
Reinforcement Learning and Physics
José D. Martín‐Guerrero, Lucas Lamata
Applied Sciences (2021) Vol. 11, Iss. 18, pp. 8589-8589
Open Access | Times Cited: 38
Parameterized Hamiltonian Learning With Quantum Circuit
Jinjing Shi, Wenxuan Wang, Xiaoping Lou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 6086-6095
Open Access | Times Cited: 27
Expressivity of quantum neural networks
Yadong Wu, Juan Yao, Pengfei Zhang, et al.
Physical Review Research (2021) Vol. 3, Iss. 3
Open Access | Times Cited: 31
Quantum computer-aided design of quantum optics hardware
Jakob S. Kottmann, Mario Krenn, Thi Ha Kyaw, et al.
Quantum Science and Technology (2021) Vol. 6, Iss. 3, pp. 035010-035010
Open Access | Times Cited: 28
On the sample complexity of quantum Boltzmann machine learning
Luuk Coopmans, Marcello Benedetti
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
Quantum Reinforcement Learning for real-time optimization in Electric Vehicle charging systems
H. Eric Xu, Ao Zhang, Qingle Wang, et al.
Applied Energy (2025) Vol. 383, pp. 125279-125279
Closed Access
Computer-inspired quantum experiments
Mario Krenn, Manuel Erhard, Anton Zeilinger
Nature Reviews Physics (2020) Vol. 2, Iss. 11, pp. 649-661
Open Access | Times Cited: 29
Quantum Neural Networks for Resource Allocation in Wireless Communications
Bhaskara Narottama, Soo Young Shin
IEEE Transactions on Wireless Communications (2021) Vol. 21, Iss. 2, pp. 1103-1116
Closed Access | Times Cited: 26
Scrambling ability of quantum neural network architectures
Yadong Wu, Pengfei Zhang, Hui Zhai
Physical Review Research (2021) Vol. 3, Iss. 3
Open Access | Times Cited: 24
Quantum Machine Learning Implementations: Proposals and Experiments
Lucas Lamata
Advanced Quantum Technologies (2023) Vol. 6, Iss. 7
Open Access | Times Cited: 10
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
J. E. García-Ramos, Álvaro Sáiz, J. M. Arias, et al.
Advanced Quantum Technologies (2024)
Open Access | Times Cited: 3
Quantum Reinforcement Learning with Quantum Photonics
Lucas Lamata
Photonics (2021) Vol. 8, Iss. 2, pp. 33-33
Open Access | Times Cited: 18
How to enhance quantum generative adversarial learning of noisy information
Paolo Braccia, Filippo Caruso, Leonardo Banchi
New Journal of Physics (2021) Vol. 23, Iss. 5, pp. 053024-053024
Open Access | Times Cited: 17
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