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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:

Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach
Jiaming Liu, Chengzhang Li, Peng Ouyang, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 5, pp. 1112-1137
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Empowering early detection: A web-based machine learning approach for PCOS prediction
Md Mahbubur Rahman, Ashikul Islam, Farhadul Islam, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101500-101500
Open Access | Times Cited: 10
Exploring Trends and Advancements in Financial Distress Prediction Research: A Bibliometric Study
Soumya Ranjan Sethi, Dushyant Mahadik, Rajkiran V. Bilolikar
International Journal of Economics and Financial Issues (2024) Vol. 14, Iss. 1, pp. 164-179
Open Access | Times Cited: 5
Macroeconomic nowcasting (st)ability. Evidence from vintages of time-series data
Elżbieta Jowik, Agnieszka Jastrzębska, Gonzalo Nápoles
Expert Systems with Applications (2025), pp. 126307-126307
Closed Access
Predicting U.S. bank failures and stress testing with machine learning algorithms
W. C. Hu, Chunli Shao, W. Zhang
Finance research letters (2025), pp. 106802-106802
Closed Access
Supervised Learning Models, Statistical Models or Hybrid Models? A Prediction of Clean Energy Stock Based on Fear and Fundamental Factors
Y. H. Zheng, Brian M. Lucey
(2025), pp. 100006-100006
Open Access
A Multi-Stage Financial Distress Early Warning System: Analyzing Corporate Insolvency with Random Forest
Katsuyuki Tanaka, Takuo Higashide, Takuji Kinkyo, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 4, pp. 195-195
Open Access
Explainable gradient boosting for corporate crisis forecasting in Italian businesses
Fabrizio Maturo, Donato Riccio, Andrea Mazzitelli, et al.
Annals of Operations Research (2025)
Closed Access
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
Tree-based Modeling for Large-scale Management in Agriculture: Explaining Organic Matter Content in Soil
W.O. Lee, Juhwan Lee
(2024)
Open Access | Times Cited: 2
Tree-Based Modeling for Large-Scale Management in Agriculture: Explaining Organic Matter Content in Soil
W.O. Lee, Juhwan Lee
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1811-1811
Open Access | Times Cited: 2
Macroeconomic Predictions Using Payments Data and Machine Learning
James Chapman, Ajit Desai
Forecasting (2023) Vol. 5, Iss. 4, pp. 652-683
Open Access | Times Cited: 6
Class‐imbalanced financial distress prediction with machine learning: Incorporating financial, management, textual, and social responsibility features into index system
Yinghua Song, Mingliang Zhang Fan Jiang, Shixuan Li, et al.
Journal of Forecasting (2023) Vol. 43, Iss. 3, pp. 593-614
Closed Access | Times Cited: 6
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
Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach
Junyoung Byun, Jaewook Lee, H.W. Lee, et al.
IEEE Access (2024) Vol. 13, pp. 1546-1565
Open Access | Times Cited: 1
Predicting Financial Failure in Algerian Public Insurance Companies Using the Kida Model
Khaled Mili
Journal of Applied Data Sciences (2024) Vol. 5, Iss. 2, pp. 508-519
Open Access | Times Cited: 1
Intelligent dynamic control of shield parameters using a hybrid algorithm and digital twin platform
Yuan Cao, Shifan Li, Qiping Shen, et al.
Automation in Construction (2024) Vol. 169, pp. 105882-105882
Closed Access | Times Cited: 1
Unraveling asymmetrical spillover effects originating from China’s green finance markets: Insights from asymmetric TVP-VAR and interpretable machine learning
Ditian Zhang, Chun Tang, Pan Tang
Journal of Environmental Management (2024) Vol. 373, pp. 123463-123463
Closed Access | Times Cited: 1
Financial distress prediction based on ensemble feature selection and improved stacking algorithm
Wu Chong, Xiaofang Chen, Yongjie Jiang
Kybernetes (2024)
Closed Access
A machine learning approach in stress testing US bank holding companies
AHMADOU MUSTAPHA FONTON MOFFO
International Review of Financial Analysis (2024) Vol. 95, pp. 103476-103476
Closed Access
Advancing financial analytics: Integrating XGBoost, LSTM, and Random Forest Algorithms for precision forecasting of corporate financial distress
Farida Titik Kristanti, Mochamad Yudha Febrianta, Dwi Fitrizal Salim, et al.
Journal of Infrastructure Policy and Development (2024) Vol. 8, Iss. 8, pp. 4972-4972
Open Access
Orthogonal Matrix-Autoencoder-Based Encoding Method for Unordered Multi-Categorical Variables with Application to Neural Network Target Prediction Problems
Yiying Wang, Jinghua Li, Boxin Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7466-7466
Open Access
Prediction and Analysis of Corporate Financial Distress Based on Random Forest Model and GBDT
Yuwei Cao
SHS Web of Conferences (2024) Vol. 200, pp. 01001-01001
Open Access
Government Disclosure Specificity and Stock Price Synchronicity: Evidence from Local Government Work Reports in China
Manning Gong, Chunfang Cao, Yuheng Zhang
Finance research letters (2024), pp. 106463-106463
Closed Access
A Quantification Approach of Changes in Firms' Financial Situation Using Neural Networks for Predicting Bankruptcy
Philippe du Jardin
Journal of Forecasting (2024)
Open Access
Using Machine Learning and Counterfactual Explanations for Financial Distress Prediction
Minh Nguyen, Thanh Duc Ngo, Bang Nguyen, et al.
(2024)
Closed Access
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