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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:

Prediction of financial distress: An empirical study of listed Chinese companies using data mining
Ruibin Geng, Indranil Bose, Xi Chen
European Journal of Operational Research (2014) Vol. 241, Iss. 1, pp. 236-247
Closed Access | Times Cited: 414

Showing 1-25 of 414 citing articles:

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
Maciej Zięba, Sebastian Klaudiusz Tomczak, Jakub M. Tomczak
Expert Systems with Applications (2016) Vol. 58, pp. 93-101
Closed Access | Times Cited: 361
Deep learning models for bankruptcy prediction using textual disclosures
Feng Mai, Shaonan Tian, Chihoon Lee, et al.
European Journal of Operational Research (2018) Vol. 274, Iss. 2, pp. 743-758
Closed Access | Times Cited: 345
Artificial neural networks in business: Two decades of research
Michal Tkáč, Robert Verner
Applied Soft Computing (2015) Vol. 38, pp. 788-804
Closed Access | Times Cited: 321
Big data techniques in auditing research and practice: Current trends and future opportunities
Adrian Gepp, Martina K. Linnenluecke, Terrence J. O’Neill, et al.
Journal of Accounting Literature (2018) Vol. 40, Iss. 1, pp. 102-115
Open Access | Times Cited: 262
Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm
Zakaria Alameer, Mohamed Abd Elaziz, Ahmed A. Ewees, et al.
Resources Policy (2019) Vol. 61, pp. 250-260
Closed Access | Times Cited: 159
The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning
Sami Ben Jabeur, Rabeh Khalfaoui, Wissal Ben Arfi
Journal of Environmental Management (2021) Vol. 298, pp. 113511-113511
Open Access | Times Cited: 109
Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods
Jie Sun, Hamido Fujita, Yujiao Zheng, et al.
Information Sciences (2021) Vol. 559, pp. 153-170
Closed Access | Times Cited: 102
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering
Sami Ben Jabeur, Nicolae Stef, Pedro Carmona
Computational Economics (2022) Vol. 61, Iss. 2, pp. 715-741
Closed Access | Times Cited: 101
Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction
Jinxian Zhao, Jamal Ouenniche, Johannes De Smedt
Machine Learning with Applications (2024) Vol. 15, pp. 100527-100527
Open Access | Times Cited: 16
Financial crisis prediction model using ant colony optimization
J. Uthayakumar, Noura Metawa, K. Shankar, et al.
International Journal of Information Management (2018) Vol. 50, pp. 538-556
Closed Access | Times Cited: 125
A data mining-based framework for supply chain risk management
Merve Er, Seniye Ümit Oktay Fırat, Abhijeet Ghadge
Computers & Industrial Engineering (2018) Vol. 139, pp. 105570-105570
Open Access | Times Cited: 125
Big data analytics for financial Market volatility forecast based on support vector machine
Rongjun Yang, Lin Yu, Yuanjun Zhao, et al.
International Journal of Information Management (2019) Vol. 50, pp. 452-462
Closed Access | Times Cited: 125
A two-stage classification technique for bankruptcy prediction
Philippe du Jardin
European Journal of Operational Research (2016) Vol. 254, Iss. 1, pp. 236-252
Closed Access | Times Cited: 124
Predicting the risk of financial distress using corporate governance measures
Zhiyong Li, Jonathan Crook, Galina Andreeva, et al.
Pacific-Basin Finance Journal (2020) Vol. 68, pp. 101334-101334
Open Access | Times Cited: 118
Predicting the citation counts of individual papers via a BP neural network
Xuanmin Ruan, Yuanyang Zhu, Li Jiang, et al.
Journal of Informetrics (2020) Vol. 14, Iss. 3, pp. 101039-101039
Closed Access | Times Cited: 115
Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations
Georgios Sermpinis, Charalampos Stasinakis, Konstantinos Theofilatos, et al.
European Journal of Operational Research (2015) Vol. 247, Iss. 3, pp. 831-846
Open Access | Times Cited: 101
Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal
Raquel Flórez-López, Juan Manuel Ramón-Jerónimo
Expert Systems with Applications (2015) Vol. 42, Iss. 13, pp. 5737-5753
Closed Access | Times Cited: 98
Research on financial early warning of mining listed companies based on BP neural network model
Xiaojun Sun, Yalin Lei
Resources Policy (2021) Vol. 73, pp. 102223-102223
Closed Access | Times Cited: 98
Dynamics of firm financial evolution and bankruptcy prediction
Philippe du Jardin
Expert Systems with Applications (2017) Vol. 75, pp. 25-43
Closed Access | Times Cited: 92
Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting
Allen Kim, Yaodong Yang, Stefan Lessmann, et al.
European Journal of Operational Research (2019) Vol. 283, Iss. 1, pp. 217-234
Open Access | Times Cited: 92
A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction
Shixuan Li, Wenxuan Shi, Jiancheng Wang, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102673-102673
Closed Access | Times Cited: 78
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Gang Yao, Xiaojian Hu, Guanxiong Wang
Expert Systems with Applications (2022) Vol. 200, pp. 117002-117002
Closed Access | Times Cited: 54
Improving financial distress prediction using textual sentiment of annual reports
Bo Huang, Xiao Yao, Yinqing Luo, et al.
Annals of Operations Research (2022) Vol. 330, Iss. 1-2, pp. 457-484
Closed Access | Times Cited: 46
Extending business failure prediction models with textual website content using deep learning
Philipp Borchert, Kristof Coussement, Arno De Caigny, et al.
European Journal of Operational Research (2022) Vol. 306, Iss. 1, pp. 348-357
Open Access | Times Cited: 43
The role of feature importance in predicting corporate financial distress in pre and post COVID periods: Evidence from China
Shusheng Ding, Tianxiang Cui, Anthony Graham Bellotti, et al.
International Review of Financial Analysis (2023) Vol. 90, pp. 102851-102851
Closed Access | Times Cited: 26
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