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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 feature maps for graph machine learning on a neutral atom quantum processor
Boris Albrecht, Constantin Dalyac, Lucas Leclerc, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 4
Open Access | Times Cited: 19

Showing 19 citing articles:

The state of quantum computing applications in health and medicine
Frederik F. Flöther
Research Directions Quantum Technologies (2023), pp. 1-21
Open Access | Times Cited: 58
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: 12
Quantum support vector machines for classification and regression on a trapped-ion quantum computer
Teppei Suzuki, Takashi Hasebe, Tsubasa Miyazaki
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Quantum utility – definition and assessment of a practical quantum advantage
Nils Herrmann, Daanish Arya, Marcus W. Doherty, et al.
(2023), pp. 162-174
Open Access | Times Cited: 14
Graph algorithms with neutral atom quantum processors
Constantin Dalyac, Lucas Leclerc, Louis Vignoli, et al.
The European Physical Journal A (2024) Vol. 60, Iss. 9
Closed Access | Times Cited: 4
Quantum Fisher kernel for mitigating the vanishing similarity issue
Yudai Suzuki, Hideaki Kawaguchi, Naoki Yamamoto
Quantum Science and Technology (2024) Vol. 9, Iss. 3, pp. 035050-035050
Open Access | Times Cited: 3
Quantum-to-Classical Neural Network Transfer Learning Applied to Drug Toxicity Prediction
Anthony M. Smaldone, Víctor S. Batista
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 11, pp. 4901-4908
Open Access | Times Cited: 3
Financial risk management on a neutral atom quantum processor
Lucas Leclerc, Luis Ortiz-Gutiérrez, Sebastián Grijalva, et al.
Physical Review Research (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 7
Variational protocols for emulating digital gates using analog control with always-on interactions
Claire Chevallier, Joseph Vovrosh, Julius de Hond, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 6
Closed Access | Times Cited: 2
Quantum support vector machines for classification and regression on a trapped-ion quantum computer
Teppei Suzuki, Takashi Hasebe, Tsubasa Miyazaki
Research Square (Research Square) (2023)
Open Access | Times Cited: 5
Qudit Machine Learning
Sebastián Roca-Jerat, Juan Román-Roche, David Zueco
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015057-015057
Open Access | Times Cited: 1
Early quantum computing applications on the path towards precision medicine
Frederik F. Flöther
Elsevier eBooks (2024), pp. 83-96
Closed Access | Times Cited: 1
Quantum computing research in medical sciences
Saleh Alrashed, Nasro Min‐Allah
Informatics in Medicine Unlocked (2024) Vol. 52, pp. 101606-101606
Open Access | Times Cited: 1
Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach
Marco Russo, Edoardo Giusto, Bartolomeo Montrucchio
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 219-228
Open Access | Times Cited: 3
Quantum fidelity kernel with a trapped-ion simulation platform
Rodrigo Martínez‐Peña, Miguel C. Soriano, Roberta Zambrini
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 4
Closed Access
Multiclass Land Use / Land Cover (LULC) Classification Using Quantum Enhanced Support Vector Machines
Divyajyoti Sarkar, Emil Dimitrov, Pablo Suárez Vieites, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 446-449
Closed Access
Supervised-learning guarantee for quantum AdaBoost
Yabo Wang, Xin Wang, Bo Qi, et al.
Physical Review Applied (2024) Vol. 22, Iss. 5
Closed Access
The state of quantum computing applications in health and medicine
Frederik F. Flöther
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Qudit Machine Learning
Sebastián Roca-Jerat, Juan Román-Roche, David Zueco
arXiv (Cornell University) (2023)
Open Access
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