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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:

Modeling financial time-series with generative adversarial networks
Shuntaro Takahashi, Yu Chen, Kumiko Tanaka‐Ishii
Physica A Statistical Mechanics and its Applications (2019) Vol. 527, pp. 121261-121261
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

An Introduction to Deep Reinforcement Learning
Vincent François-Lavet, Peter Henderson, Riashat Islam, et al.
Foundations and Trends® in Machine Learning (2018) Vol. 11, Iss. 3-4, pp. 219-354
Open Access | Times Cited: 894
Improving time series forecasting using LSTM and attention models
Hossein Abbasimehr, Reza Paki
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 1, pp. 673-691
Closed Access | Times Cited: 158
Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Xiaoqiao Huang, Qiong Li, Yonghang Tai, et al.
Energy (2022) Vol. 246, pp. 123403-123403
Closed Access | Times Cited: 138
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis, Syama Sundar Rangapuram, Valentín Flunkert, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 6, pp. 1-36
Open Access | Times Cited: 126
A Review of Generative Adversarial Networks (GANs) and Its Applications in a Wide Variety of Disciplines: From Medical to Remote Sensing
Ankan Dash, Junyi Ye, Guiling Wang
IEEE Access (2023) Vol. 12, pp. 18330-18357
Open Access | Times Cited: 64
Fin-GAN: forecasting and classifying financial time series via generative adversarial networks
Milena Vuletić, Felix Prenzel, Mihai Cucuringu
Quantitative Finance (2024) Vol. 24, Iss. 2, pp. 175-199
Open Access | Times Cited: 24
Convolutional and generative adversarial neural networks in manufacturing
Andrew Kusiak
International Journal of Production Research (2019) Vol. 58, Iss. 5, pp. 1594-1604
Closed Access | Times Cited: 108
Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study
Shahrokh Shahi, Flavio H. Fenton, Elizabeth M. Cherry
Machine Learning with Applications (2022) Vol. 8, pp. 100300-100300
Open Access | Times Cited: 50
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
Hongming Li, Shujian Yu, José C. Prı́ncipe
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8562-8570
Open Access | Times Cited: 25
Understanding GANs: fundamentals, variants, training challenges, applications, and open problems
Zeeshan Ahmad, Zain ul Abidin Jaffri, Meng Chen, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 11
Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks
Zhigang Huang, Weilan Zhang
Journal of Environmental Management (2024) Vol. 359, pp. 120967-120967
Closed Access | Times Cited: 9
Deep learning for time series forecasting: a survey
Xiangjie Kong, Zhenghao Chen, Weiyao Liu, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access | Times Cited: 1
Quant GANs: deep generation of financial time series
Magnus Wiese, Robert Knobloch, Ralf Korn, et al.
Quantitative Finance (2020) Vol. 20, Iss. 9, pp. 1419-1440
Open Access | Times Cited: 62
Generative adversarial networks for financial trading strategies fine-tuning and combination
Adriano Koshiyama, Nick Firoozye, Philip Treleaven
Quantitative Finance (2020) Vol. 21, Iss. 5, pp. 797-813
Open Access | Times Cited: 60
Data augmentation strategies for EEG-based motor imagery decoding
Olawunmi George, Roger O. Smith, Praveen Madiraju, et al.
Heliyon (2022) Vol. 8, Iss. 8, pp. e10240-e10240
Open Access | Times Cited: 29
Limit Order Book Simulations: A Review
K. C. Jain, Nick Firoozye, Jonathan Kochems, et al.
SSRN Electronic Journal (2024)
Open Access | Times Cited: 6
A modified CTGAN-plus-features-based method for optimal asset allocation
José-Manuel Peña, Fernando Suárez, Omar Larré, et al.
Quantitative Finance (2024) Vol. 24, Iss. 3-4, pp. 465-479
Open Access | Times Cited: 5
Generative Adversarial Networks in finance: an overview
Florian Eckerli, Joerg Osterrieder
SSRN Electronic Journal (2021)
Open Access | Times Cited: 40
Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia
Xin Lu, Jing Qiu, Gang Lei, et al.
Applied Energy (2021) Vol. 308, pp. 118296-118296
Closed Access | Times Cited: 34
Train wheel degradation generation and prediction based on the time series generation adversarial network
Anqi Shangguan, Guo Xie, Rong Fei, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108816-108816
Open Access | Times Cited: 26
Dual-dimension Time-GGAN data augmentation method for improving the performance of deep learning models for PV power forecasting
Ling-Man Liu, Xiaoying Ren, Fei Zhang, et al.
Energy Reports (2023) Vol. 9, pp. 6419-6433
Open Access | Times Cited: 14
Hybrid Network Model Based on Data Enhancement for Short-term Power Prediction of New PV Plants
Shangpeng Zhong, Xiaoming Wang, Bin Xu, et al.
Journal of Modern Power Systems and Clean Energy (2024) Vol. 12, Iss. 1, pp. 77-88
Open Access | Times Cited: 5
Forecasting the extreme impact of Covid-19 on airline and petroleum stocks: a comparison of alternative time-series models
Mushtaq Hussain Khan, Navid Feroze, Junaid Ahmed, et al.
Journal of Modelling in Management (2025)
Closed Access
Consumer Transactions Simulation Through Generative Adversarial Networks Under Stock Constraints in Large-Scale Retail
Sergiy Tkachuk, Szymon Łukasik, Anna Wróblewska
Electronics (2025) Vol. 14, Iss. 2, pp. 284-284
Open Access
Role of Generative AI for Fraud Detection and Prevention
Prasanna Kulkarni, Pankaj Pathak, Samaya Pillai, et al.
(2025), pp. 175-198
Closed Access
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