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:

Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries
Michal Pavličko, Marek Ďurica, Jaroslav Mazanec
Mathematics (2021) Vol. 9, Iss. 16, pp. 1886-1886
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Machine Learning Ensemble Modelling for Predicting Unemployment Duration
Barbora Gabrikova, Lucia Švábová, Katarína Kramárová
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10146-10146
Open Access | Times Cited: 28
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 31
Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine
Yao Zou, Changchun Gao, Han Gao
IEEE Access (2022) Vol. 10, pp. 42623-42639
Open Access | Times Cited: 27
Drivers of Value Creation and the Effect of ESG Risk Rating on Investor Perceptions through Financial Metrics
Abraham Puente De La Vega Caceres
Sustainability (2024) Vol. 16, Iss. 13, pp. 5347-5347
Open Access | Times Cited: 5
Challenges of Artificial Intelligence for the Prevention and Identification of Bankruptcy Risk in Financial Institutions: A Systematic Review
Luis-Javier Vásquez-Serpa, Ciro Rodríguez, Jhelly Pérez, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 1, pp. 26-26
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
Renaissance of Creative Accounting Due to the Pandemic: New Patterns Explored by Correspondence Analysis
Roman Blažek, Pavol Ďurana, Jakub Michulek
Stats (2023) Vol. 6, Iss. 1, pp. 411-430
Open Access | Times Cited: 12
On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates
Louisa Muparuri, Victor Gumbo
Sustainability Analytics and Modeling (2022) Vol. 2, pp. 100006-100006
Open Access | Times Cited: 16
Research on Corporate Indebtedness Determinants: A Case Study of Visegrad Group Countries
Dominika Gajdosikova, Katarína Valašková, Tomáš Klieštik, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 299-299
Open Access | Times Cited: 8
Construction and analysis of the financing risk network of Chinese fisheries enterprises
Shi-Tong Zhang, Tao Li
Ocean & Coastal Management (2024) Vol. 251, pp. 107064-107064
Closed Access | Times Cited: 2
Financing risk formation paths for sustainable development of Chinese fishery enterprises: A configurational analysis based on panel data
Shi-Tong Zhang, Tao Li
Journal of Cleaner Production (2024) Vol. 454, pp. 142292-142292
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
The impact of the corona epidemic on working capital management for jordanian companies listed on the amman stock exchange
Yaser Mohd Hamshari, Mohammad Ahmad Alqam, Haitham Yousef Ali
Cogent Economics & Finance (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 11
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
Minimalistic Logit Model as an Effective Tool for Predicting the Risk of Financial Distress in the Visegrad Group
Michal Pavličko, Jaroslav Mazanec
Mathematics (2022) Vol. 10, Iss. 8, pp. 1302-1302
Open Access | Times Cited: 8
The Effect of Good Corporate Governance Mechanisms, Financial Ratio, and Financial Distress: A Study on Financial Companies
Nurcahyono Nurcahyono, Fatmasari Sukesti, Haerudin Haerudin
Proceedings of the 3rd International Conference of Business, Accounting, and Economics, ICBAE 2022, 10-11 August 2022, Purwokerto, Central Java, Indonesia (2022)
Open Access | Times Cited: 7
Artificial neural network and decision tree-based modelling of non-prosperity of companies
Marek Ďurica, Jaroslav Frnda, Lucia Švábová
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 4, pp. 1105-1131
Open Access | Times Cited: 3
THE RISK OF FINANCIAL DISTRESS IN THE ERA OF INDUSTRY 4.0 IN CENTRAL EUROPEAN ECONOMIES. IMPACT OF INDUSTRY AND CORPORATE LIFE CYCLE
Lucia Michalkova
Ekonomicko-manazerske spektrum (2023) Vol. 17, Iss. 1, pp. 76-86
Open Access | Times Cited: 2
Bankruptcy Prediction for Sustainability of Businesses: The Application of Graph Theoretical Modeling
Jarmila Horváthová, Martina Mokrišová, Martin Bača
Mathematics (2023) Vol. 11, Iss. 24, pp. 4966-4966
Open Access | Times Cited: 2
Forecasting Commercial Customers Credit Risk Through Early Warning Signals Data: A Machine Learning based Approach
Marcos Machado, Joerg Osterrieder, Daniel Chen
SSRN Electronic Journal (2024)
Closed Access
Balancing Techniques for Advanced Financial Distress Detection Using Artificial Intelligence
Dovilė Kuizinienė, Tomas Krilavičius
Electronics (2024) Vol. 13, Iss. 8, pp. 1596-1596
Open Access
A comparative study of feature selection and feature extraction methods for financial distress identification
Dovilė Kuizinienė, Paulius Savickas, Rimantė Kunickaitė, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1956-e1956
Open Access
Analysis of Financial Distress in Construction Companies with the Altman Method
Yuliani Kalsum Sitompul, Andam Dewi Syarif
Journal of Economics Finance and Management Studies (2023) Vol. 06, Iss. 06
Open Access | Times Cited: 1
ANALYSIS OF THE INFLUENCE OF THE PERFORMANCE OF THE PROFIT AND FINANCIAL POSITION IN THE PREDICTION OF BANKRUPTCY IN THE MEAT PROCESSING BRANCH
Miroslav Čavlin, Jelena Vapa–Tankosić, Radomir Jovanović, et al.
Ekonomika poljoprivrede (2023) Vol. 70, Iss. 4, pp. 1043-1057
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top