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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:

Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme
Yaohu Lin, Shancun Liu, Haijun Yang, et al.
IEEE Access (2021) Vol. 9, pp. 101433-101446
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Survey of feature selection and extraction techniques for stock market prediction
Htet Htet Htun, Michael Biehl, Nicolai Petkov
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 104
A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization
Chia‐Hung Wang, Jinchen Yuan, Yingping Zeng, et al.
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1770-1797
Closed Access | Times Cited: 11
A stock time series forecasting approach incorporating candlestick patterns and sequence similarity
Mengxia Liang, Shaocong Wu, Xiaolong Wang, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117595-117595
Open Access | Times Cited: 30
Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns
Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu
PeerJ Computer Science (2025) Vol. 11, pp. e2719-e2719
Open Access
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis
M. Lakshmi Narayana, Arundhati J Kartha, Animesh Mandal, et al.
Journal of Intelligent Information Systems (2025)
Closed Access
Speed vs. efficiency: A framework for high-frequency trading algorithms on FPGA using Zynq SoC platform
Abbas M. Ali, Abdullah Shah, Azaz Hassan Khan, et al.
Alexandria Engineering Journal (2024) Vol. 96, pp. 1-14
Open Access | Times Cited: 4
Machine learning models for evaluating the benefits of business intelligence systems
Mano Ashish Tripathi, Kilaru Madhavi, V.S. Prasad Kandi, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 2, pp. 100470-100470
Closed Access | Times Cited: 10
Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model
Bilal Hassan Ahmed Khattak, Imran Shafi, Chaudhary Hamza Rashid, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
An Analytic Review on Stock Market Price Prediction using Machine Learning and Deep Learning Techniques
Swarnalata Rath, Nilima R. Das, Binod Kumar Pattanayak
Recent Patents on Engineering (2023) Vol. 18, Iss. 2
Closed Access | Times Cited: 8
Navigating the technical analysis in stock markets: Insights from bibliometric and topic modeling approaches
Sarveshwar Kumar Inani, Harsh Pradhan, Surender Kumar, et al.
Investment Management and Financial Innovations (2024) Vol. 21, Iss. 1, pp. 275-288
Open Access | Times Cited: 2
Time Series Forecast With Stock's Price Candlestick Patterns And Sequence Similarities
Harmanjeet Singh, Chhavi Sharma, Vikas Attri, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-6
Closed Access | Times Cited: 2
A Survey on Stock Market Prediction Techniques
C A Krishnapriya, Ajay James
2020 International Conference on Power, Instrumentation, Control and Computing (PICC) (2023), pp. 1-6
Closed Access | Times Cited: 6
A Hybrid Relational Approach Towards Stock Price Prediction and Profitability
Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 11, pp. 5844-5854
Closed Access | Times Cited: 1
On the sensitivity of some portfolio optimization models using interval analysis
Sarishti Singh, Geetanjali Panda
OPSEARCH (2024) Vol. 62, Iss. 1, pp. 77-103
Closed Access | Times Cited: 1
A performance comparison of machine learning models for stock market prediction with novel investment strategy
Azaz Hassan Khan, Abdullah Shah, Abbas M. Ali, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0286362-e0286362
Open Access | Times Cited: 4
Utilizing Fundamental Analysis to Predict Stock Prices
Akshay Khanpuri, Narayana Darapaneni, Anwesh Reddy Paduri
EAI Endorsed Transactions on AI and Robotics (2024) Vol. 3
Open Access | Times Cited: 1
Exploring local–global stock price interconnections & patterns via augmented deep neural links for stock predictions
Charanjeet Dadiyala, Rashmi Welekar
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Prediction of Stock Price Using XG Boost: A Machine Learning Technique
Vismayaa Yadav BKV
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 7, pp. 1562-1570
Open Access | Times Cited: 1
Analyzing the critical steps in deep learning-based stock forecasting: a literature review
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e2312-e2312
Open Access | Times Cited: 1
A Machine Learning Framework for Stock Prediction using Sentiment Analysis
Deepak Parashar, Michela DSilva, Saloni Kulshreshtha
(2023), pp. 1-5
Closed Access | Times Cited: 3
Stock Market Prediction Using Deep Learning
Surendra Kumar Shukla, Kireet Joshi, Gagan Deep Singh, et al.
(2022), pp. 91-95
Closed Access | Times Cited: 5
An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms
Mahmut Sami Sivri, Alp Üstündağ
Journal of Business Analytics (2023) Vol. 7, Iss. 1, pp. 42-62
Closed Access | Times Cited: 2
Candlestick Pattern Classification Using Feedforward Neural Network
Meilona Karmelia, Moeljono Widjaja, Seng Hansun
International Journal of Advances in Soft Computing and its Applications (2022) Vol. 14, Iss. 2, pp. 80-95
Open Access | Times Cited: 4
A New Algorithmic Trading Approach Based on Ensemble Learning and Candlestick Pattern Recognition in Financial Assets
Üzeyir AYCEL, Yunus Santur
Turkish Journal of Science and Technology (2022) Vol. 17, Iss. 2, pp. 167-184
Open Access | Times Cited: 4
Financial Futures Prediction Using Fuzzy Rough Set and Synthetic Minority Oversampling Technique
Shangkun Deng, Yingke Zhu, Ruijie Liu, et al.
Advances in Mathematical Physics (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 3
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