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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:

Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree
Hongyi Qian, Baohui Wang, Minghe Yuan, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116202-116202
Closed Access | Times Cited: 85

Showing 26-50 of 85 citing articles:

Ensemble learning algorithms based on easyensemble sampling for financial distress prediction
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Annals of Operations Research (2025)
Open Access
Machine Learning for Identifying Risk in Financial Statements: A Survey
Elias Zavitsanos, Eirini Spyropoulou, George Giannakopoulos, et al.
ACM Computing Surveys (2025)
Closed Access
The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia
Mário Papík, Lenka Papíková
Technological Forecasting and Social Change (2025) Vol. 215, pp. 124098-124098
Open Access
Efficiency analysis using the machine learning algorithms: model development and verification
Şafak Sönmez SOYDAŞ, Yusuf Kalkan, Alper Veli Çam, et al.
Quality & Quantity (2025)
Closed Access
Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models
Aixiang Yang
Frontiers in Applied Mathematics and Statistics (2025) Vol. 11
Open Access
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119695-119695
Open Access | Times Cited: 12
A feature selection method via relevant-redundant weight
Shijie Zhao, Mengchen Wang, Shilin Ma, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117923-117923
Closed Access | Times Cited: 18
Understanding the impact of sisu on workforce and well-being: A machine learning-based analysis
Umair Ali Khan, Janne Kauttonen, Pentti Henttonen, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24148-e24148
Open Access | Times Cited: 3
Financial Distress Early Warning for Chinese Enterprises from a Systemic Risk Perspective: Based on the Adaptive Weighted XGBoost-Bagging Model
Wensheng Wang, Zhiliang Liang
Systems (2024) Vol. 12, Iss. 2, pp. 65-65
Open Access | Times Cited: 3
Multi‐class financial distress prediction based on stacking ensemble method
Xiaofang Chen, Wu Chong, Zijiao Zhang, et al.
International Journal of Finance & Economics (2024)
Closed Access | Times Cited: 3
Optimized backpropagation neural network for risk prediction in corporate financial management
Lingzi Gu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Forecasting gold price using machine learning methodologies
Gil Cohen, Avishay Aiche
Chaos Solitons & Fractals (2023) Vol. 175, pp. 114079-114079
Closed Access | Times Cited: 7
Các nhân tố ảnh hưởng đến kiệt quệ tài chính của các doanh nghiệp xây dựng và doanh nghiệp bất động sản niêm yết trên thị trường chứng khoán Việt Nam
Dương Phan Thùy, Nga Ngô Thị Thanh
Tạp chí Kinh tế và Phát triển (2024)
Closed Access | Times Cited: 2
Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies
Shangkun Deng, Qunfang Luo, Yingke Zhu, et al.
Pacific-Basin Finance Journal (2024) Vol. 85, pp. 102393-102393
Closed Access | Times Cited: 2
Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk
Zongguo Ma, Xu Wang, Yan Hao
Expert Systems with Applications (2022) Vol. 215, pp. 119373-119373
Closed Access | Times Cited: 11
Research on predicting the diffusion of toxic heavy gas sulfur dioxide by applying a hybrid deep learning model to real case data
Yuchen Wang, Zhengshan Luo, Jihao Luo
The Science of The Total Environment (2023) Vol. 901, pp. 166506-166506
Closed Access | Times Cited: 6
Interpretable high-stakes decision support system for credit default forecasting
Weixin Sun, X. J. Zhang, Ming‐Hao Li, et al.
Technological Forecasting and Social Change (2023) Vol. 196, pp. 122825-122825
Closed Access | Times Cited: 6
Credit rating prediction with supply chain information: a machine learning perspective
Long Ren, Shaojie Cong, Xinlong Xue, et al.
Annals of Operations Research (2023) Vol. 342, Iss. 1, pp. 657-686
Closed Access | Times Cited: 6
LiFoL: An Efficient Framework for Financial Distress Prediction in High-Dimensional Unbalanced Scenario
Ying Chen, Xiaojun Kuang, Jifeng Guo
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2784-2795
Closed Access | Times Cited: 5
Examining financial distress of the Vietnamese listed firms using accounting-based models
Thao Tran, Ngoc Hong Nguyen, Binh Thien Le, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0284451-e0284451
Open Access | Times Cited: 5
Stabilization temperature prediction in carbon fiber production using empirical mode decomposition and long short-term memory network
Yuanjing Guo, Shaofei Jiang, Jiangen Fu, et al.
Journal of Cleaner Production (2023) Vol. 429, pp. 139345-139345
Closed Access | Times Cited: 4
Predicting Credit Bond Default with Deep Learning: Evidence from China
Ning Zhang, Wenhe Li, Haoxiang Chen, et al.
Journal of Social Computing (2024) Vol. 5, Iss. 1, pp. 36-45
Open Access | Times Cited: 1
Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China
Longyue Liang, Bo Liu, Zhi Su, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2540-2571
Closed Access | Times Cited: 1
Financial distress prediction using an improved particle swarm optimization wrapper feature selection method and tree boosting ensemble
Jiaming Liu, Zihang Wang
Journal of the Operational Research Society (2024), pp. 1-24
Closed Access | Times Cited: 1
Reassessing Feature Importance Biases in Machine Learning Models for Infection Analysis
Yoshiyasu Takefuji
Journal of Infection (2024) Vol. 89, Iss. 6, pp. 106357-106357
Open Access | Times Cited: 1

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