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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.

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Showing 1-25 of 26 citing articles:

Artificial intelligence techniques in financial trading: A systematic literature review
Fatima Dakalbab, Manar Abu Talib, Qassim Nasir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102015-102015
Open Access | Times Cited: 18
Prediction model of drinking water source quality with potential industrial-agricultural pollution based on CNN-GRU-Attention
Peng Mei, Meng Li, Qian Zhang, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127934-127934
Closed Access | Times Cited: 60
Predicting water quality in municipal water management systems using a hybrid deep learning model
Wenxian Luo, Leijun Huang, Jiabin Shu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108420-108420
Closed Access | Times Cited: 5
Optimization of Stock Predictions on Indonesia Stock Exchange: A New Hybrid Deep Learning Method
B. Yudi Dwiandiyanta, Rudy Hartanto, Ridi Ferdiana
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19370-19379
Open Access
Multi-feature stock price prediction by LSTM networks based on VMD and TMFG
Zhixin Zhang, Qingyang Liu, Yanrong Hu, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An integrated spatiotemporal-based methodology for deepfake detection
Aya Abdelsalam Ismail, Marwa Elpeltagy, Mervat S. Zaki, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 21777-21791
Open Access | Times Cited: 19
A new prediction NN framework design for individual stock based on the industry environment
Qing Zhu, Jianhua Che, Yuze Li, et al.
Data Science and Management (2022) Vol. 5, Iss. 4, pp. 199-211
Open Access | Times Cited: 17
Evaluating the machine learning based momentum stock trading strategies with back-testing: An emerging market perspective
Ahmed Imran Kabir, Sonali Vyas, Sriman Mitra, et al.
AIP conference proceedings (2024)
Open Access | Times Cited: 3
A CNN-LSTM Stock Prediction Model Based on Genetic Algorithm Optimization
Heon Baek
Asia-Pacific Financial Markets (2023) Vol. 31, Iss. 2, pp. 205-220
Closed Access | Times Cited: 8
Stock Price Prediction Based on the Bi-GRU-Attention Model
Yao‐Jun Zhang, Gilbert M. Tumibay
Journal of Computer and Communications (2024) Vol. 12, Iss. 04, pp. 72-85
Open Access | Times Cited: 2
Time Series Trends Forecasting for Manufacturing Enterprises in the Digital Age
Chaolin Yang, Jingdong Yan, Guangming Wang
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-22
Open Access | Times Cited: 2
A Correlation-Embedded Attention Module to Mitigate Multicollinearity: An Algorithmic Trading Application
Jireh Yi-Le Chan, Steven Mun Hong Leow, Khean Thye Bea, et al.
Mathematics (2022) Vol. 10, Iss. 8, pp. 1231-1231
Open Access | Times Cited: 12
Technical Indicator Empowered Intelligent Strategies to Predict Stock Trading Signals
Arjun Singh Saud, Subarna Shakya
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 4, pp. 100398-100398
Open Access | Times Cited: 1
IBM Stock Forecast Using LSTM, GRU, Attention and Transformer Models
Sihan Fu, Zining Tang, Jialin Li
(2023), pp. 167-172
Closed Access | Times Cited: 3
Forecasting The Value of Indonesian Oil-Non-Oil and Gas Imported Using The Gated Recurrent Unit (GRU)
Dian Kurniasari, Sulistian Oskavina, Wamiliana Wamiliana, et al.
Indonesian Journal of Artificial Intelligence and Data Mining (2023) Vol. 6, Iss. 1, pp. 71-71
Open Access | Times Cited: 2
Stock Price Movement Classification Using Ensembled Model of Long Short-Term Memory (LSTM) and Random Forest (RF)
Albertus Emilio Kurniajaya Gunawan, Antoni Wibowo
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2255-2255
Open Access | Times Cited: 2
Literature Review: Machine Learning in Stock Predictions
Neal Li
Highlights in Business Economics and Management (2024) Vol. 24, pp. 853-859
Open Access
A Hybrid Manufacturing Process Monitoring Method Using Stacked Gated Recurrent Unit and Random Forest
Chao-Lung Yang, Atinkut Atinafu Yilma, Bereket Haile Woldegiorgis, et al.
Intelligent Automation & Soft Computing (2024) Vol. 39, Iss. 2, pp. 233-254
Open Access
Research on Stock Prediction Based on CED-PSO-StockNet Time Series Model
Xinying Chen, Fengjiao Yang, Qianhan Sun, et al.
Research Square (Research Square) (2024)
Open Access
Improving the Quality of Experience of Video Streaming Through a Buffer-Based Adaptive Bitrate Algorithm and Gated Recurrent Unit-Based Network Bandwidth Prediction
J.-K. Woo, Seungwoo Hong, Dong Hyun Kang, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10490-10490
Open Access
A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators
Jingwei Hong, Ping Han, Abdur Rasool, et al.
Communications in computer and information science (2023), pp. 405-419
Closed Access | Times Cited: 1
Unveiling the Predictive Power: Comparative Analysis of Cutting-Edge Deep Learning Models for Stock Price Forecasting
Minghao Guan, Yuanjin Zhu, Bo Xiao
Highlights in Business Economics and Management (2023) Vol. 19, pp. 17-29
Open Access | Times Cited: 1
Stock price prediction in Chinese stock markets based on CNN-GRU-attention model
Jinchao Qi, Shi‐Ting Huang, Jiayu Hu, et al.
(2022) Vol. 2, pp. 35-35
Closed Access | Times Cited: 1
Forecasting Stock Returns with Lstm for Options Trading
Min-Kuan Chen, Dong‐Yuh Yang, Ming‐Hua Hsieh, et al.
(2023)
Closed Access
Research on Display of Stock Trading Reversal Points and Abnormal Points Based on Hurst Model
Jiayue Xin
(2023) Vol. 4, pp. 370-375
Closed Access
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