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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:

QUARK: A Framework for Quantum Computing Application Benchmarking
Jernej Rudi Finžgar, Philipp Ross, Leonhard Hölscher, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2022), pp. 226-237
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing
Nils Quetschlich, Lukas Burgholzer, Robert Wille
Quantum (2023) Vol. 7, pp. 1062-1062
Open Access | Times Cited: 56
Neutral atom quantum computing hardware: performance and end-user perspective
Karen Wintersperger, Florian Dommert, Thomas Ehmer, et al.
EPJ Quantum Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 38
Quantum Optimization: Potential, Challenges, and the Path Forward
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
(2023)
Open Access | Times Cited: 29
Challenges and opportunities in quantum optimization
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
Nature Reviews Physics (2024)
Closed Access | Times Cited: 11
Benchmarking quantum computers
Timothy Proctor, Kevin Young, Andrew Baczewski, et al.
Nature Reviews Physics (2025)
Open Access | Times Cited: 1
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science
Harun Bayraktar, Ali Charara, David J. Clark, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 1050-1061
Open Access | Times Cited: 15
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
A Conceptual Architecture for a Quantum-HPC Middleware
Nishant Saurabh, Shantenu Jha, André Luckow
(2023), pp. 116-127
Open Access | Times Cited: 13
Optimization Problems in Production and Planning: Approaches and Limitations in View of Possible Quantum Superiority
Maximilian Zwingel, Christopher May, Sebastian Reitelshöfer, et al.
(2025), pp. 267-277
Open Access
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing
Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer, et al.
(2023), pp. 60-67
Open Access | Times Cited: 11
Quantum Computing Techniques for Multi-knapsack Problems
Abhishek Awasthi, Francesco Bär, Joseph Doetsch, et al.
Lecture notes in networks and systems (2023), pp. 264-284
Open Access | Times Cited: 9
Effects of Imperfections on Quantum Algorithms: A Software Engineering Perspective
Felix Greiwe, Tom Krüger, Wolfgang Mauerer
(2023), pp. 31-42
Open Access | Times Cited: 8
Optimization of Robot-Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
Martin J. A. Schuetz, J. Kyle Brubaker, Henry Montagu, et al.
Physical Review Applied (2022) Vol. 18, Iss. 5
Open Access | Times Cited: 12
Quantum Computing Techniques for Multi-Knapsack Problems
Abhishek Awasthi, Francesco Bär, Joseph Doetsch, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Defining Best Practices for Quantum Benchmarks
Mirko Amico, Helena Zhang, Petar Jurcevic, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 692-702
Closed Access | Times Cited: 5
Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK
Florian J. Kiwit, Maximilian A. Wolf, Marwa Marso, et al.
KI - Künstliche Intelligenz (2024) Vol. 38, Iss. 4, pp. 379-385
Open Access | Times Cited: 1
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
Nicolas P. D. Sawaya, Daniel Marti-Dafcik, Yang Ho, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK
Florian J. Kiwit, Marwa Marso, Philipp Ross, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 475-484
Open Access | Times Cited: 3
HamPerf: A Hamiltonian-Oriented Approach to Quantum Benchmarking
Anastasiia Butko, Katherine Klymko, Daan Camps, et al.
(2024), pp. 133-138
Closed Access
$$\mathrm{Q(AI)}^2$$: Quantum Artificial Intelligence for the Automotive Industry
Tobias Stollenwerk, Somtapa Bhattacharya, Michele Cattelan, et al.
KI - Künstliche Intelligenz (2024) Vol. 38, Iss. 4, pp. 351-359
Open Access
A Systematic Review of Quantum BenchMarking
Pankaj Malhotra, Ajay Kumar, Sunita Garhwal
International Journal of Theoretical Physics (2024) Vol. 63, Iss. 11
Closed Access
Benchmarking Quantum Annealers with Near-Optimal Minor-Embedded Instances
Valentin Gilbert, Julien Rodriguez, Stéphane Louise
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2024), pp. 531-537
Closed Access
Neutral Atom Quantum Computing Hardware: Performance and End-User Perspective
Karen Wintersperger, Florian Dommert, Thomas Ehmer, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Designing Quantum Annealing Schedules using Bayesian Optimization
Jernej Rudi Finžgar, Martin J. A. Schuetz, J. Kyle Brubaker, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Quantum Computing
Mradul Agrawal, Aviral Jain, Rudraksh Thorat, et al.
(2023), pp. 233-248
Closed Access | Times Cited: 1
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