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 Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators
Shangkun Deng, Yingke Zhu, Shuangyang Duan, et al.
Systems (2022) Vol. 10, Iss. 4, pp. 108-108
Open Access | Times Cited: 15

Showing 15 citing articles:

Systemic Risk and Crisis Warning of Stock Price Collapse in Enterprises—A New Perspective Based on Machine Learning
丽丽 赵
E-Commerce Letters (2025) Vol. 14, Iss. 01, pp. 1000-1012
Closed Access

A Machine Learning Approach for Investigating the Determinants of Stock Price Crash Risk: Exploiting Firm and CEO Characteristics
Yunuo Li, Huiyuan Xue, Shiyu Wei, et al.
Systems (2024) Vol. 12, Iss. 5, pp. 143-143
Open Access | Times Cited: 4

A Novel System Based on Selection Strategy and Ensemble Mode for Non-Ferrous Metal Futures Market Management
Sibo Yang, Wendong Yang, Kai Zhang, et al.
Systems (2023) Vol. 11, Iss. 2, pp. 55-55
Open Access | Times Cited: 2

When to Hedge Downside Risk?
Christos I. Giannikos, Hany Guirguis, Andreas Kakolyris, et al.
Risks (2024) Vol. 12, Iss. 2, pp. 42-42
Open Access

Enhancing robotics learning using imitation learning through visual-based behaviour cloning
Yagna Jadeja, Mahmoud Shafik, Paul Wood, et al.
MATEC Web of Conferences (2024) Vol. 401, pp. 12006-12006
Open Access

Artificial Intelligence-Assisted Machine Learning Methods for Forecasting Green Bond Index: A Comparative Analysis
Yunus Emre Gür, Ahmed İhsan Şimşek, Emre Bulut
Ekonomi Politika ve Finans Arastirmalari Dergisi (2024) Vol. 9, Iss. 4, pp. 628-655
Open Access

Overcoming Overfitting Challenges with HOG Feature Extraction and XGBoost-Based Classification for Concrete Crack Monitoring
Ida Barkiah, Yuslena Sari
International Journal of Electronics and Telecommunications (2023), pp. 571-577
Open Access | Times Cited: 1

Stock Price Crash Prediction Based on Multimodal Data Machine Learning Models
Yankai Sheng, Yuanyu Qu, Ding Ma
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1

When to Hedge the Downside Risk?
Tin Shan Suen, Christos I. Giannikos, Hany Guirguis, et al.
(2023)
Open Access | Times Cited: 1

Design of Hyperparameter Tuned Deep Reinforcement Learning Based Prediction Model for Financial Crisis
Mohammed Ayad Alkhafaji, Saba Ameer, Ahmed Alawadi, et al.
2022 5th International Conference on Engineering Technology and its Applications (IICETA) (2023), pp. 287-293
Closed Access | Times Cited: 1

Financial Crisis Prediction using Feature Subset Selection with Quantum Deep Neural Network
T. Balachander, Nazia Akhlaq, Rohit Bansal, et al.
(2023), pp. 885-889
Closed Access

THE RELATIONSHIP BETWEEN FINANCIAL INDICATORS AND FINANCIAL INTERMEDIARIES’ STOCK PRICE VOLATILITY LISTED ON THE BM&FBOVESPA INDEX IN THE CRISIS PERIOD OF 2008 AND 2020 (COVID-19)
Daiane Inacio da Silva Nottar, Gislaine Siebre Cezar, Vinicius Abílio Martins, et al.
Journal of Globalization Competitiveness and Governability (2023) Vol. 17, Iss. 2
Open Access

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