Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Variable selection and corporate bankruptcy forecasts
Shaonan Tian, Yan Yu, Hui Guo
Journal of Banking & Finance (2014) Vol. 52, pp. 89-100
Closed Access | Times Cited: 237

Showing 1-25 of 237 citing articles:

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: 356
Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection
Gang Kou, Yong Xu, Yi Peng, et al.
Decision Support Systems (2020) Vol. 140, pp. 113429-113429
Open Access | Times Cited: 324
Exploring the sources of default clustering
Shahriar Azizpour, Kay Giesecke, Gustavo Schwenkler
Journal of Financial Economics (2018) Vol. 129, Iss. 1, pp. 154-183
Closed Access | Times Cited: 209
A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic
Denae Ford, Margaret‐Anne Storey, Thomas Zimmermann, et al.
ACM Transactions on Software Engineering and Methodology (2021) Vol. 31, Iss. 2, pp. 1-37
Open Access | Times Cited: 173
Remaining Financially Healthy and Competitive: The Role of Financial Predictors
Tomáš Klieštik, Katarína Valašková, George Lăzăroiu, et al.
Journal of Competitiveness (2020) Vol. 12, Iss. 1, pp. 74-92
Open Access | Times Cited: 164
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
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection
Frank Emmert‐Streib, Matthias Dehmer
Machine Learning and Knowledge Extraction (2019) Vol. 1, Iss. 1, pp. 359-383
Open Access | Times Cited: 131
Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction
Chih-Hsun Chou, Su-Chen Hsieh, Chui-Jie Qiu
Applied Soft Computing (2017) Vol. 56, pp. 298-316
Closed Access | Times Cited: 120
Financial ratios and bankruptcy predictions: An international evidence
Shaonan Tian, Yan Yu
International Review of Economics & Finance (2017) Vol. 51, pp. 510-526
Closed Access | Times Cited: 116
Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis
Katarína Valašková, Tomáš Klieštik, Lucia Švábová, et al.
Sustainability (2018) Vol. 10, Iss. 7, pp. 2144-2144
Open Access | Times Cited: 115
Bayesian regularized artificial neural networks for the estimation of the probability of default
Eduard Sariev, Guido Germano
Quantitative Finance (2019) Vol. 20, Iss. 2, pp. 311-328
Open Access | Times Cited: 112
The Logistic Lasso and Ridge Regression in Predicting Corporate Failure
José Manuel Pereira, Mário Basto, Amelia Ferreira da Silva
Procedia Economics and Finance (2016) Vol. 39, pp. 634-641
Open Access | Times Cited: 105
Catching Gazelles with a Lasso: Big data techniques for the prediction of high-growth firms
Alex Coad, Stjepan Srhoj
Small Business Economics (2019) Vol. 55, Iss. 3, pp. 541-565
Closed Access | Times Cited: 105
Bankruptcy prediction using Partial Least Squares Logistic Regression
Sami Ben Jabeur
Journal of Retailing and Consumer Services (2017) Vol. 36, pp. 197-202
Closed Access | Times Cited: 88
Grabit: Gradient tree-boosted Tobit models for default prediction
Fabio Sigrist, Christoph Hirnschall
Journal of Banking & Finance (2019) Vol. 102, pp. 177-192
Open Access | Times Cited: 77
Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network
Qian Chen, Wenyu Zhang, Yu Lou
IEEE Access (2020) Vol. 8, pp. 117365-117376
Open Access | Times Cited: 74
Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Computational Economics (2021) Vol. 59, Iss. 3, pp. 1231-1249
Closed Access | Times Cited: 64
Bankruptcy Prediction Using Machine Learning Techniques
Shekar Shetty, Mohamed Musa, Xavier Brédart
Journal of risk and financial management (2022) Vol. 15, Iss. 1, pp. 35-35
Open Access | Times Cited: 60
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: 47
Artificial Intelligence in Accounting and Finance: Challenges and Opportunities
Ziwei Yi, Xinwei Cao, Zuyan Chen, et al.
IEEE Access (2023) Vol. 11, pp. 129100-129123
Open Access | Times Cited: 26
Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem
Saeid Fallahpour, Eisa Norouzian Lakvan, Mohammad Hendijani Zadeh
Journal of Retailing and Consumer Services (2016) Vol. 34, pp. 159-167
Closed Access | Times Cited: 68
Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform
Christophe Croux, Julapa Jagtiani, Tarunsai Korivi, et al.
Journal of Economic Behavior & Organization (2020) Vol. 173, pp. 270-296
Open Access | Times Cited: 67
Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods
Elena Gregová, Katarína Valašková, Peter Adamko, et al.
Sustainability (2020) Vol. 12, Iss. 10, pp. 3954-3954
Open Access | Times Cited: 65
Corporate Default Predictions Using Machine Learning: Literature Review
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Sustainability (2020) Vol. 12, Iss. 16, pp. 6325-6325
Open Access | Times Cited: 59
Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry
Wen-Kuo Chen, Dalianus Riantama, Long‐Sheng Chen
Sustainability (2020) Vol. 13, Iss. 1, pp. 268-268
Open Access | Times Cited: 54
Page 1 - Next Page

Scroll to top