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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 algorithms for approximate graph coloring
Sergey Bravyi, Alexander Kliesch, Robert Koenig, et al.
Quantum (2022) Vol. 6, pp. 678-678
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 195
A review on Quantum Approximate Optimization Algorithm and its variants
Kostas Blekos, Dean Brand, Andrea Ceschini, et al.
Physics Reports (2024) Vol. 1068, pp. 1-66
Open Access | Times Cited: 77
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
He-Liang Huang, Xiaoyue Xu, Chu Guo, et al.
Science China Physics Mechanics and Astronomy (2023) Vol. 66, Iss. 5
Closed Access | Times Cited: 51
Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer
Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 44
Quantum Optimization: Potential, Challenges, and the Path Forward
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
(2023)
Open Access | Times Cited: 29
An expressive ansatz for low-depth quantum approximate optimisation
V Vijendran, Aritra Das, Dax Enshan Koh, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 2, pp. 025010-025010
Open Access | Times Cited: 12
Quantum-Informed Recursive Optimization Algorithms
Jernej Rudi Finžgar, Aron Kerschbaumer, Martin J. A. Schuetz, et al.
PRX Quantum (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 12
Challenges and opportunities in quantum optimization
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
Nature Reviews Physics (2024)
Closed Access | Times Cited: 10
Edge AI: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu, et al.
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 9
Reinforcement learning assisted recursive QAOA
Yash J. Patel, Sofiène Jerbi, Thomas Bäck, et al.
EPJ Quantum Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Extending relax-and-round combinatorial optimization solvers with quantum correlations
Maxime Dupont, Bhuvanesh Sundar
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 1
Closed Access | Times Cited: 8
Solving correlation clustering with QAOA and a Rydberg qudit system: a full-stack approach
Jordi R. Weggemans, Alexander Urech, Alexander Rausch, et al.
Quantum (2022) Vol. 6, pp. 687-687
Open Access | Times Cited: 36
Graph neural network initialisation of quantum approximate optimisation
Nishant Jain, Brian Coyle, Elham Kashefi, et al.
Quantum (2022) Vol. 6, pp. 861-861
Open Access | Times Cited: 33
Expectation values from the single-layer quantum approximate optimization algorithm on Ising problems
Asier Ozaeta, Wim van Dam, Peter L. McMahon
Quantum Science and Technology (2022) Vol. 7, Iss. 4, pp. 045036-045036
Open Access | Times Cited: 28
Peptide conformational sampling using the Quantum Approximate Optimization Algorithm
Sami Boulebnane, Xavier Lucas, Agnes Meyder, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Recursive QAOA outperforms the original QAOA for the MAX-CUT problem on complete graphs
Eunok Bae, Soojoon Lee
Quantum Information Processing (2024) Vol. 23, Iss. 3
Closed Access | Times Cited: 5
Quantum variational optimization: The role of entanglement and problem hardness
Pablo Díez-Valle, Diego Porras, Juan José García‐Ripoll
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 6
Open Access | Times Cited: 38
Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles
Constantin Dalyac, Loïc Henriet, Emmanuel Jeandel, et al.
EPJ Quantum Technology (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 34
Quantum approximate optimization algorithm for qudit systems
Yannick Deller, Sebastian Schmitt, Maciej Lewenstein, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 6
Open Access | Times Cited: 13
Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
Friedrich Wagner, Jonas Nüßlein, Frauke Liers
ACM Transactions on Quantum Computing (2025)
Open Access
Recursive Quantum Relaxation for Combinatorial Optimization Problems
Ruho Kondo, Yuki Sato, Rudy Raymond, et al.
Quantum (2025) Vol. 9, pp. 1594-1594
Open Access
Parallel circuit implementation of variational quantum algorithms
Michele Cattelan, Sheir Yarkoni, Wolfgang Lechner
npj Quantum Information (2025) Vol. 11, Iss. 1
Open Access
A Hybrid Quantum-Classical Algorithm for Robust Fitting
Anh-Dzung Doan, Michele Sasdelli, David Suter, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 19
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths
Reuben Tate, Jai Moondra, Bryan T. Gard, et al.
Quantum (2023) Vol. 7, pp. 1121-1121
Open Access | Times Cited: 12
A quantum algorithm for solving weapon target assignment problem
Erdi Acar, Saim Hatipoğlu, İhsan Yılmaz
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106668-106668
Closed Access | Times Cited: 11
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