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:

A Survey of Recent Advances in Quantum Generative Adversarial Networks
Tuan A. Ngo, Tuyen Nguyen, Truong Cong Thang
Electronics (2023) Vol. 12, Iss. 4, pp. 856-856
Open Access | Times Cited: 20

Showing 20 citing articles:

Quantum-Inspired Neural Network Model of Optical Illusions
Ivan S. Maksymov
Algorithms (2024) Vol. 17, Iss. 1, pp. 30-30
Open Access | Times Cited: 8

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

A Novel Quantum Neural Network Approach to Combating Fake Reviews
Thulasi Bikku, Srinivasarao Thota, P. Shanmugasundaram
˜The œInternational journal of networked and distributed computing (2024) Vol. 12, Iss. 2, pp. 195-205
Open Access | Times Cited: 4

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies
Stefano Markidis
Entropy (2023) Vol. 25, Iss. 4, pp. 694-694
Open Access | Times Cited: 7

Contrastive-Active Transfer Learning-Based Real-Time Adaptive Assessment Method for Power System Transient Stability
Jinman Zhao, Xiaoqing Han, Chengmin Wang, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 5052-5052
Open Access | Times Cited: 1

Letter: Why consider quantum instead classical pattern recognition techniques?
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112096-112096
Closed Access | Times Cited: 1

Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery
Maria Avramouli, Ilias Κ. Savvas, Anna Vasilaki, et al.
(2023)
Open Access | Times Cited: 4

Deep Learning in Politics
Tshilidzi Marwala
(2023), pp. 79-97
Closed Access | Times Cited: 3

Generative Learning with Qopula Circuits
Amey Bhatuse, Ankit Khandelwal, M. Girish Chandra
(2024), pp. 1012-1017
Closed Access

Why Consider Quantum Instead Classical Pattern Recognition Techniques?
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa, et al.
(2024)
Closed Access

Letter: Why Consider Quantum Instead Classical Pattern Recognition Techniques?
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa, et al.
(2024)
Closed Access

Enhancing Automobile Motion Planning Algorithms using Quantum Computing: A Systematic Review
R. Madhumathi, B. Jegan, M. Naveenganesh, et al.
(2024)
Closed Access

Quantum Generative Adversarial Networks in a Silicon Photonic Chip with Maximum Expressibility
Haoran Ma, Liao Ye, Xiaoqing Guo, et al.
Advanced Quantum Technologies (2024)
Open Access

Bayesian network structure learning using quantum generative models
Hiroshi Ohno
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access

Synthetic data generation with hybrid quantum-classical models for the financial sector
Otto Menegasso Pires, Mauro Q. Nooblath, Yan Alef C. Silva, et al.
The European Physical Journal B (2024) Vol. 97, Iss. 11
Open Access

An Evaluation of Training Strategies in QuGAN
Tuan A. Ngo, Nhan T. Luu, Truong Cong Thang
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 336-337
Closed Access

A Quick Overview of Quantum Machine Learning
Jehn‐Ruey Jiang
(2023), pp. 301-304
Closed Access

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