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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:

Generative adversarial networks for biomedical time series forecasting and imputation
Sven Festag, Joachim Denzler, Cord Spreckelsen
Journal of Biomedical Informatics (2022) Vol. 129, pp. 104058-104058
Open Access | Times Cited: 25

Showing 25 citing articles:

Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications
Preeti Sharma, Manoj Kumar, Hitesh Kumar Sharma, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 16
Deep imputation of missing values in time series health data: A review with benchmarking
Maksims Kazijevs, Manar D. Samad
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104440-104440
Open Access | Times Cited: 26
A practical guide to the implementation of AI in orthopaedic research, Part 6: How to evaluate the performance of AI research?
Felix Conrad Oettl, Ayoosh Pareek, Philipp W. Winkler, et al.
Journal of Experimental Orthopaedics (2024) Vol. 11, Iss. 3
Open Access | Times Cited: 6
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matías Quintana, Chun Fu, et al.
Energy and Buildings (2024) Vol. 310, pp. 114071-114071
Open Access | Times Cited: 4
Data efficiency assessment of generative adversarial networks in energy applications
Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, et al.
Energy and AI (2025), pp. 100501-100501
Open Access
Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention
Sven Festag, Cord Spreckelsen
Journal of Biomedical Informatics (2023) Vol. 139, pp. 104320-104320
Open Access | Times Cited: 10
Generative deep learning for the development of a type 1 diabetes simulator
Omer Mujahid, Iván Contreras, Aleix Beneyto, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series
Aya Ferchichi, Ali Ben Abbes, Vincent Barra, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107563-107563
Closed Access | Times Cited: 8
A Comprehensive Bibliometric Analysis of Missing Value Imputation
Heru Nugroho, Kridanto Surendro
IEEE Access (2024) Vol. 12, pp. 14819-14846
Open Access | Times Cited: 2
Conditional Generative Adversarial Networks for modelling fuel sprays
Cihan Ateş, Farhad Karwan, Max Okraschevski, et al.
Energy and AI (2022) Vol. 12, pp. 100216-100216
Open Access | Times Cited: 10
A generic sparse regression imputation method for time series and tabular data
Athanasios Salamanis, George A. Gravvanis, Sotiris Kotsiantis, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110965-110965
Closed Access | Times Cited: 5
ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke
Jingxi Xu, Runsheng Wang, Siqi Shang, et al.
IEEE Robotics and Automation Letters (2024) Vol. 10, Iss. 2, pp. 907-914
Open Access | Times Cited: 1
Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review
Miloš Cekić
Artificial intelligence (2023)
Open Access | Times Cited: 2
A Traffic Flow Data Restoration Method Based on an Auxiliary Discrimination Mechanism-Oriented GAN Model
Can Wang, Yan Zhao, Linheng Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 22742-22753
Closed Access
Review on Biomedical Informatics Through the Versatility of Generative Adversarial Networks
Vishvesh Mukesh, Hrithik Joshi, Sparsh Saraf, et al.
IFIP advances in information and communication technology (2024), pp. 461-474
Closed Access
Empowering Biomedical Informatics through the Versatility of Generative Adversarial Networks
Vishvesh Mukesh, Hrithik Joshi, Sparsh Saraf, et al.
(2024), pp. 1-6
Closed Access
Modeling Dissolved Oxygen Under Data Scarcity Situation Using Time-Series Generative Adversarial Network Combined with Long Short-Term Memory Network
Gang Li, Cheng Chen, Siyang Yao, et al.
(2024)
Closed Access
Frequency‐specific dual‐attention based adversarial network for blood oxygen level‐dependent time series prediction
Weihao Zheng, Cong Bao, Renhui Mu, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 14
Open Access
Bibliometric analysis of Anaerobic Digestion Model No. 1 for dry anaerobic digestion of fruit and vegetable waste, food waste, and organic fraction of municipal solid waste
Tiago P. Silva, André Bezerra dos Santos, Giovanni Esposito, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 6, pp. 114664-114664
Closed Access
Spontaneous electroretinogram signals to screen people with early risk factors for diabetic retinopathy
Ramsés Noguez Imm, Julio Muñoz, Diego Medina, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Technologies for calculating and visualizing statistics on prevalence and incidence on the example of information about polypous rhinosinusitis in the Samara region
Svetlana Palevskaya, Andrei V. Gushchin, M. K. Blashentsev
Science and Innovations in Medicine (2023) Vol. 8, Iss. 3, pp. 189-197
Open Access
Recent Developments in Generative Adversarial Networks
Nakul Singh, Sandeep Kumar Parashar
Algorithms for intelligent systems (2023), pp. 163-172
Closed Access
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matías Quintana, Chun Fu, et al.
arXiv (Cornell University) (2023)
Open Access
Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development
Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, et al.
Information (2023) Vol. 15, Iss. 1, pp. 12-12
Open Access
A Traffic Flow Data Recovery Method Based on An Auxiliary Discrimination Mechanism-oriented GAN Model
Can Wang, Linheng Li, Qiao Yang, et al.
Research Square (Research Square) (2022)
Closed Access
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