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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:

Convolutional neural network for stock trading using technical indicators
S. Kumar Chandar
Automated Software Engineering (2022) Vol. 29, Iss. 1
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Hybrid neural network-based metaheuristics for prediction of financial markets: a case study on global gold market
Mobina Mousapour Mamoudan, Ali Ostadi, Nima Pourkhodabakhsh, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 3, pp. 1110-1125
Open Access | Times Cited: 40
A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach
Pham Hoang Vuong, Lam Hung Phu, Tran Hong Van Nguyen, et al.
Science Progress (2024) Vol. 107, Iss. 1
Open Access | Times Cited: 8
Extending machine learning prediction capabilities by explainable AI in financial time series prediction
Taha Buğra Çeli̇k, Özgür İcan, Elif Bulut
Applied Soft Computing (2022) Vol. 132, pp. 109876-109876
Closed Access | Times Cited: 28
Forecasting relative returns for S&P 500 stocks using machine learning
Htet Htet Htun, Michael Biehl, Nicolai Petkov
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
Nabanita Das, Bikash Sadhukhan, Susmit Sekhar Bhakta, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 5
Sentiment analysis for stock market research: A bibliometric study
Xieling Chen, Haoran Xie, Zongxi Li, et al.
Natural Language Processing Journal (2025), pp. 100125-100125
Open Access
How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting
Zinnet Duygu Akşehır, Erdal Kılıç
IEEE Access (2022) Vol. 10, pp. 31297-31305
Open Access | Times Cited: 27
A Hybrid Convolutional Recurrent (CNN-GRU) Model for Stock Price Prediction
Rashi Jaiswal, Brijendra Singh
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2022), pp. 299-304
Closed Access | Times Cited: 22
GA-Attention-Fuzzy-Stock-Net: An Optimized Neuro-Fuzzy System for Stock Market Price Prediction with Genetic Algorithm and Attention Mechanism
Burak Gülmez
Heliyon (2025) Vol. 11, Iss. 3, pp. e42393-e42393
Open Access
Key technical indicators for stock market prediction
Sayed Mahdi Mostafavi, Alireza Hooman
Machine Learning with Applications (2025) Vol. 20, pp. 100631-100631
Closed Access
Stock price prediction based on dual important indicators using ARIMAX: A case study in Vietnam
Pai-Chou Wang, Thuc P. Vo
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access
Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models
Chia‐Hung Wang, Yingping Zeng, Jinchen Yuan
Expert Systems with Applications (2024) Vol. 255, pp. 124555-124555
Closed Access | Times Cited: 3
Forecasting and optimization stock predictions: Varying asset profile, time window, and hyperparameter factors
Chaher Alzaman
Systems and Soft Computing (2023) Vol. 5, pp. 200052-200052
Open Access | Times Cited: 9
Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models
Weisi Chen, Walayat Hussain, Francesco Cauteruccio, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 187-224
Open Access | Times Cited: 6
The Role of Technical Indicators in the Intraday Prediction of Stock Markets: Artificial Neural Network Models for Borsa Istanbul
Andaç Batur Çolak, Ayben Koy
Scientia Iranica (2023)
Open Access | Times Cited: 5
Exploring profitable opportunities: Analysing technical indicators combinations for profitable trading
Achuta Mukund Harsha, V.V.S. Kesava Rao
Corporate and Business Strategy Review (2024) Vol. 5, Iss. 1, pp. 148-160
Open Access | Times Cited: 1
ADAPTEN: Adaptive Ensembles Leveraging Feature Engineering for Real-Time Market Analysis
Fiza Noor, Inam Ullah Khan
(2024)
Open Access | Times Cited: 1
Prediction of the marine spreading of low sulfur fuel oil using the long short-term memory model trained with three-phase numerical simulations
Jaebeen Lee, Hyungmin Park
Marine Pollution Bulletin (2024) Vol. 202, pp. 116356-116356
Closed Access | Times Cited: 1
UNSURE - A machine learning approach to cryptocurrency trading
Vasileios Kochliaridis, A. Papadopoulou, Ioannis Vlahavas
Applied Intelligence (2024) Vol. 54, Iss. 7, pp. 5688-5710
Closed Access | Times Cited: 1
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
A Developed Multiple Linear Regression (MLR) Model for Monthly Groundwater Level Prediction
Mohammad Ehteram, Fatemeh Barzegari Banadkooki
Water (2023) Vol. 15, Iss. 22, pp. 3940-3940
Open Access | Times Cited: 4
Stock Movement Prediction Based On Technical Indicators Applying Hybrid Machine Learning Models
Zakia Zouaghia, Zahra Kodia, Lamjed Ben Saïd
2022 International Symposium on Networks, Computers and Communications (ISNCC) (2023) Vol. 1823, pp. 1-4
Closed Access | Times Cited: 4
A Study of College Teachers’ English Teaching Quality Based on Fuzzy Neural Network
Chunfang Chen
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 6
Using Deep Learning Neural Networks and Stacking Ensemble Learning to Predict CSI 300 Index
Weijie Wan, Qingzhen Xu, Huiyan Chen, et al.
(2022), pp. 81-86
Closed Access | Times Cited: 3
Multi-Step Stock Closing Price Forecasting Using CNN-LSTM with Time Location
Cunmei Fan, Xueer Chen
(2024), pp. 253-257
Closed Access
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