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:
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods
Alireza Ghasemieh, Rasha Kashef
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28479-28500
Closed Access | Times Cited: 8
Alireza Ghasemieh, Rasha Kashef
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28479-28500
Closed Access | Times Cited: 8
Showing 8 citing articles:
Data-driven stock forecasting models based on neural networks: A review
Wuzhida Bao, Yuting Cao, Yin Yang, et al.
Information Fusion (2024) Vol. 113, pp. 102616-102616
Open Access | Times Cited: 8
Wuzhida Bao, Yuting Cao, Yin Yang, et al.
Information Fusion (2024) Vol. 113, pp. 102616-102616
Open Access | Times Cited: 8
Enhancing portfolio management using artificial intelligence: literature review
Kristina Šutienė, Peter Schwendner, Ciprian Șipoș, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
Kristina Šutienė, Peter Schwendner, Ciprian Șipoș, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
Cross-modal scenario generation for stock price forecasting using Wasserstein GAN and GCN
Zixu Wang, Bo Wang, You Li, et al.
Applied Soft Computing (2024), pp. 112342-112342
Closed Access | Times Cited: 1
Zixu Wang, Bo Wang, You Li, et al.
Applied Soft Computing (2024), pp. 112342-112342
Closed Access | Times Cited: 1
Multimodal market information fusion for stock price trend prediction in the pharmaceutical sector
Hongren Wang, Zerong Xie, Dickson K.W. Chiu, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Open Access | Times Cited: 1
Hongren Wang, Zerong Xie, Dickson K.W. Chiu, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Open Access | Times Cited: 1
Speculating Future Stock Price in Stock Market Using Feature Scaling and Predictive Models
Mannam Praveen, Rosario Gilmary, N Manvizhi, et al.
2022 6th International Conference on Devices, Circuits and Systems (ICDCS) (2024), pp. 87-91
Closed Access
Mannam Praveen, Rosario Gilmary, N Manvizhi, et al.
2022 6th International Conference on Devices, Circuits and Systems (ICDCS) (2024), pp. 87-91
Closed Access
A Selection Method of Agricultural Product Price Forecasting Model based on Time Series Image Encoding
Wentao Jiang, Quan Wang, Hongbo Li
Research Square (Research Square) (2024)
Closed Access
Wentao Jiang, Quan Wang, Hongbo Li
Research Square (Research Square) (2024)
Closed Access
Enhanced Wasserstein Generative Adversarial Network (EWGAN) to Oversample Imbalanced Datasets
Muhammad Hassan Ajmal Hashmi, Muhammad Usman Ashraf, Saleem Zubair Ahmad, et al.
Bulletin of Business and Economics (BBE) (2024) Vol. 13, Iss. 3, pp. 385-395
Closed Access
Muhammad Hassan Ajmal Hashmi, Muhammad Usman Ashraf, Saleem Zubair Ahmad, et al.
Bulletin of Business and Economics (BBE) (2024) Vol. 13, Iss. 3, pp. 385-395
Closed Access
Predicting Stock Prices in the Iranian Stock Market Using Convolutional Neural Network Optimization
Mohsen Mahdavi Asl, Maral Kolahkaj
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Mohsen Mahdavi Asl, Maral Kolahkaj
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
