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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 network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction
Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 3, pp. 3995-4013
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Strategies for enhancing the performance of news article classification in Bangla: Handling imbalance and interpretation
Khan Md. Hasib, Nurul Akter Towhid, Kazi Omar Faruk, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106688-106688
Closed Access | Times Cited: 42
VGC-GAN: A multi-graph convolution adversarial network for stock price prediction
Dongbo Ma, Yuan Da, Maojun Huang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121204-121204
Closed Access | Times Cited: 21
Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Asifa Nazir, Ahsan Hussain, Mandeep Singh, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Enhancing stock return prediction in the Chinese market: A GAN-based approach
Hongxu Wu, Qiao Wang, Jianping Li, et al.
Research in International Business and Finance (2025), pp. 102760-102760
Closed Access
Graph Isomorphic Network-Assisted Optimal Coordination of Wave Energy Converters Based on Maximum Power Generation
Ashkan Safari, Afshin Rahimi, Hoda Sorouri
Electronics (2025) Vol. 14, Iss. 4, pp. 795-795
Open Access
Globally optimized machine-learning framework for CO2-hydrocarbon minimum miscibility pressure calculations
Can Huang, Leng Tian, Tianya Zhang, et al.
Fuel (2022) Vol. 329, pp. 125312-125312
Closed Access | Times Cited: 21
GAN-Enhanced Nonlinear Fusion Model for Stock Price Prediction
Yingcheng Xu, Yunfeng Zhang, Пэйдэ Лю, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
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
Satellite image recognition using ensemble neural networks and difference gradient positive-negative momentum
Ruslan Abdulkadirov, Pavel Lyakhov, Marcel Bergerman, et al.
Chaos Solitons & Fractals (2024) Vol. 179, pp. 114432-114432
Closed Access | Times Cited: 2
Multi-factor stock price prediction based on GAN-TrellisNet
Wenjie Liu, Y. F. Ge, Yuchen Gu
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 4177-4198
Closed Access | Times Cited: 2
Incorporating causality in energy consumption forecasting using deep neural networks
Kshitij Sharma, Yogesh K. Dwivedi, Bhimaraya Metri
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 537-572
Open Access | Times Cited: 11
Resource Aware Long Short-Term Memory Model (RALSTMM) Based On-Device Incremental Learning for Industrial Internet of Things
Atallo Kassaw Takele, Balázs Villányi
IEEE Access (2023) Vol. 11, pp. 63107-63115
Open Access | Times Cited: 5
A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches
Jheng-Long Wu, Xian-Rong Tang, Chin-Hsiung Hsu
Soft Computing (2022) Vol. 27, Iss. 12, pp. 8209-8222
Open Access | Times Cited: 9
Using dynamic semantic structure of news flow to enhance financial forecasting: a twelve-year study on twitter news channels
Amirhosein Bodaghi, Joe Zhu
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
New conditional generative adversarial capsule network for imbalanced classification of human sperm head images
Hamed Jabbari, Nooshin Bigdeli
Neural Computing and Applications (2023) Vol. 35, Iss. 27, pp. 19919-19934
Closed Access | Times Cited: 3
Identifying Optimal Wavelengths from Near Infrared Spectroscopy Using Meta-heuristic Algorithms to Assess Peanut Seed Viability
Mohammad Rajabi-Sarkhani, Yousef Abbaspour‐Gilandeh, Abdolmajid Moinfar, et al.
(2023)
Open Access | Times Cited: 3
Optimizing and interpreting the latent space of the conditional text-to-image GANs
Zhenxing Zhang, Lambert Schomaker
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2549-2572
Open Access | Times Cited: 3
Stock Price Forecasting with Artificial Neural Networks Long Short-Term Memory: A Bibliometric Analysis and Systematic Literature Review
Cristiane Orquisa Fantin, Eli Hadad
Journal of Computer and Communications (2022) Vol. 10, Iss. 12, pp. 29-50
Open Access | Times Cited: 5
Identifying Optimal Wavelengths from Visible–Near-Infrared Spectroscopy Using Metaheuristic Algorithms to Assess Peanut Seed Viability
Mohammad Rajabi-Sarkhani, Yousef Abbaspour‐Gilandeh, Abdolmajid Moinfar, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 2939-2939
Open Access | Times Cited: 2
A Future Trading System Using Ensemble Deep Learning
Usha Devi NSSSN, Rohit Mohan
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 441-450
Open Access
Robust Deep Learning Models for Predicting the Trend of Stock Market Prices During Market Crash Periods
Alireza Ghasemieh
(2024)
Open Access
Robust Deep Learning Models for Predicting the Trend of Stock Market Prices During Market Crash Periods
Alireza Ghasemieh
(2024)
Open Access
A Stochastic Regression and Sentiment Analysis-Based Approach for Forecasting Trends in the Stock Market
Lalita Verma
Deleted Journal (2024) Vol. 20, Iss. 2, pp. 2641-2660
Open Access
Mechanical Anomaly Detection and Early Warning for Ultrahigh-Voltage Shunt Reactors via Adaptive Thresholds and WGAN-GP
Xiaoyuan Zhang, Ziqiang Zhao, Shao Rui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 20219-20230
Closed Access
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