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:

An improved boosting based on feature selection for corporate bankruptcy prediction
Gang Wang, Jian Ma, Shanlin Yang
Expert Systems with Applications (2013) Vol. 41, Iss. 5, pp. 2353-2361
Closed Access | Times Cited: 168

Showing 26-50 of 168 citing articles:

Explainability of Machine Learning Models for Bankruptcy Prediction
Min Sue Park, Hwijae Son, Chongseok Hyun, et al.
IEEE Access (2021) Vol. 9, pp. 124887-124899
Open Access | Times Cited: 46
Bankruptcy prediction using fuzzy convolutional neural networks
Sami Ben Jabeur, Vanessa Serret
Research in International Business and Finance (2022) Vol. 64, pp. 101844-101844
Closed Access | Times Cited: 35
Machine Learning for Bankruptcy Prediction in the American Stock Market: Dataset and Benchmarks
Gianfranco Lombardo, Mattia Pellegrino, George Adosoglou, et al.
Future Internet (2022) Vol. 14, Iss. 8, pp. 244-244
Open Access | Times Cited: 33
Failure pattern-based ensembles applied to bankruptcy forecasting
Philippe du Jardin
Decision Support Systems (2018) Vol. 107, pp. 64-77
Closed Access | Times Cited: 55
An evidential reasoning-based decision support system for handling customer complaints in mobile telecommunications
Ying Yang, Dong‐Ling Xu, Jianbo Yang, et al.
Knowledge-Based Systems (2018) Vol. 162, pp. 202-210
Open Access | Times Cited: 53
Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction
Shweta Sankhwar, Deepak Gupta, K. C. Ramya, et al.
Soft Computing (2019) Vol. 24, Iss. 1, pp. 101-110
Closed Access | Times Cited: 52
Gradient and Newton boosting for classification and regression
Fabio Sigrist
Expert Systems with Applications (2020) Vol. 167, pp. 114080-114080
Open Access | Times Cited: 46
Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures
Gang Wang, Jingling Ma, Gang Chen, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106152-106152
Closed Access | Times Cited: 44
Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning
Much Aziz Muslim, Yosza Dasril
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 6, pp. 5549-5549
Open Access | Times Cited: 38
Corporate governance and financial distress: lessons learned from an unconventional approach
Alberto Tron, Maurizio Dallocchio, Salvatore Ferri, et al.
Journal of Management & Governance (2022) Vol. 27, Iss. 2, pp. 425-456
Open Access | Times Cited: 22
Bankruptcy prediction with low-quality financial information
Eduardo da Silva Mattos, Dennis Shasha
Expert Systems with Applications (2023) Vol. 237, pp. 121418-121418
Closed Access | Times Cited: 14
Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods
Yu Xia, Ta Xu, Mingxia Wei, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1087-1087
Open Access | Times Cited: 13
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 5
Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques
Yu-Cheng Lin, Roni Padliansyah, Yu‐Hsin Lu, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100744-100744
Closed Access
Financial ratios as indicators in bankruptcy prediction: A comparative analysis of statistical and machine learning models
Thu Hien Bui, Thị Thùy Dương Trương, Thi Phuong Thao Tran
Research Square (Research Square) (2025)
Closed Access
Feature selection with effective distance
Mingxia Liu, Daoqiang Zhang
Neurocomputing (2016) Vol. 215, pp. 100-109
Closed Access | Times Cited: 41
Bankruptcy Prediction Using Stacked Auto-Encoders
Makram Soui, Salima Smiti, Mohamed Wiem Mkaouer, et al.
Applied Artificial Intelligence (2019) Vol. 34, Iss. 1, pp. 80-100
Closed Access | Times Cited: 36
Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods
Xinyi Wang, Deming Zeng, Haiwen Dai, et al.
Technological Forecasting and Social Change (2020) Vol. 155, pp. 120032-120032
Closed Access | Times Cited: 32
On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils
Duong Kien Trong, Binh Thai Pham, Fazal E. Jalal, et al.
Materials (2021) Vol. 14, Iss. 21, pp. 6516-6516
Open Access | Times Cited: 30
SPARSITY SCORE: A NOVEL GRAPH-PRESERVING FEATURE SELECTION METHOD
Mingxia Liu, Daoqiang Zhang
International Journal of Pattern Recognition and Artificial Intelligence (2014) Vol. 28, Iss. 04, pp. 1450009-1450009
Closed Access | Times Cited: 35
Swarm intelligence based classification rule induction (CRI) framework for qualitative and quantitative approach: An application of bankruptcy prediction and credit risk analysis
J. Uthayakumar, T. Vengattaraman, P. Dhavachelvan
Journal of King Saud University - Computer and Information Sciences (2017) Vol. 32, Iss. 6, pp. 647-657
Open Access | Times Cited: 35
Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network
Noura Metawa, Irina V. Pustokhina, Denis A. Pustokhin, et al.
Big Data (2021) Vol. 9, Iss. 2, pp. 100-115
Closed Access | Times Cited: 24
Dynamic self-organizing feature map-based models applied to bankruptcy prediction
Philippe du Jardin
Decision Support Systems (2021) Vol. 147, pp. 113576-113576
Open Access | Times Cited: 24
Machine-learning models for bankruptcy prediction: do industrial variables matter?
Daniela Bragoli, Camilla Ferretti, Piero Ganugi, et al.
Spatial Economic Analysis (2021) Vol. 17, Iss. 2, pp. 156-177
Closed Access | Times Cited: 24
Bankruptcy prediction using machine learning and Shapley additive explanations
Hoang Hiep Nguyen, Jean‐Laurent Viviani, Sami Ben Jabeur
Review of Quantitative Finance and Accounting (2023)
Closed Access | Times Cited: 10

Scroll to top