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:

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

Showing 1-25 of 65 citing articles:

Female directors, capital structure, and financial distress
Constantino José García Martín, Begoña Herrero
Journal of Business Research (2021) Vol. 136, pp. 592-601
Closed Access | Times Cited: 150

Financial Distress Prediction for Small and Medium Enterprises Using Machine Learning Techniques
Aidas Malakauskas, Aušrinė Lakštutienė
Engineering Economics (2021) Vol. 32, Iss. 1, pp. 4-14
Open Access | Times Cited: 48

Financial Information Asymmetry: Using Deep Learning Algorithms to Predict Financial Distress
Chyan-long Jan
Symmetry (2021) Vol. 13, Iss. 3, pp. 443-443
Open Access | Times Cited: 47

Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries
Katarína Valašková, Dominika Gajdosikova, Jaroslav Belás
Oeconomia Copernicana (2023) Vol. 14, Iss. 1, pp. 253-293
Open Access | Times Cited: 19

Firm failure prediction for small and medium-sized enterprises and new ventures
Weiyu Wang, Maria João Guedes
Review of Managerial Science (2024)
Open Access | Times Cited: 8

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: 6

Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach
Youssef Zizi, Mohamed Oudgou, Abdeslam El Moudden
Risks (2020) Vol. 8, Iss. 4, pp. 107-107
Open Access | Times Cited: 41

Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry
Rafael Becerra Vicario, David Alaminos, Eva Aranda, et al.
Sustainability (2020) Vol. 12, Iss. 12, pp. 5180-5180
Open Access | Times Cited: 38

Solvency Risk and Corporate Performance: A Case Study on European Retailers
Alexandra Horobeţ, Ștefania Cristina Curea, Alexandra Smedoiu Popoviciu, et al.
Journal of risk and financial management (2021) Vol. 14, Iss. 11, pp. 536-536
Open Access | Times Cited: 32

An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression
Youssef Zizi, Amine Jamali Alaoui, Badreddine El Goumi, et al.
Risks (2021) Vol. 9, Iss. 11, pp. 200-200
Open Access | Times Cited: 32

Integrative Analysis of Traditional and Cash Flow Financial Ratios: Insights from a Systematic Comparative Review
Dimitra Seretidou, Dimitrios Billios, Antonios Stavropoulos
Risks (2025) Vol. 13, Iss. 4, pp. 62-62
Open Access

Microfinance institutions failure prediction in emerging countries, a machine learning approach
Yvan García López, Patricia Raquel Henostroza Márquez Mázmela, N. Morales
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0321989-e0321989
Open Access

Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models
Dawen Yan, Guotai Chi, Kin Keung Lai
Mathematics (2020) Vol. 8, Iss. 8, pp. 1275-1275
Open Access | Times Cited: 24

Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies
Fikile Dube, Ntokozo Nzimande, Paul‐Francois Muzindutsi
Journal of Sustainable Finance & Investment (2021) Vol. 13, Iss. 1, pp. 723-743
Closed Access | Times Cited: 21

Financial Distress, Firm Life Cycle, and Corporate Restructuring Decisions: Evidence from Pakistan’s Economy
Minhas Akbar, Ammar Hussain, Marcela Sokolová, et al.
Economies (2022) Vol. 10, Iss. 7, pp. 175-175
Open Access | Times Cited: 14

Financial distress forecasting with a machine learning approach
Hong Hanh Ha, Dang Ngoc Hung, Mạnh Dũng Trần
Corporate Governance and Organizational Behavior Review (2023) Vol. 7, Iss. 3, pp. 90-104
Open Access | Times Cited: 8

Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis
Kaoutar El Madou, Said Marso, Moad El Kharrim, et al.
Expert Systems (2023) Vol. 41, Iss. 2
Closed Access | Times Cited: 8

Using Deep Learning Algorithms for CPAs’ Going Concern Prediction
Chyan-Long Jan
Information (2021) Vol. 12, Iss. 2, pp. 73-73
Open Access | Times Cited: 18

Advancement of management information system for discovering fraud in master card based intelligent supervised machine learning and deep learning during SARS-CoV2
Banghua Wu, Xuebin Lv, Abdullah Alghamdi, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103231-103231
Open Access | Times Cited: 10

The Impact of Equity Information as An Important Factor in Assessing Business Performance
Katarína Tasáryová, Renáta Pakšiová
Information (2021) Vol. 12, Iss. 2, pp. 85-85
Open Access | Times Cited: 14

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: 5

Predictions of failure and financial distress: A study on Portuguese high and medium-high technology small and mid-sized enterprises
Yehui Tong, Zélia Serrasqueiro
JOURNAL OF INTERNATIONAL STUDIES (2021) Vol. 14, Iss. 2, pp. 9-25
Open Access | Times Cited: 12

SME Default Prediction Framework with the Effective Use of External Public Credit Data
Zhichao Luo, Ping‐Yu Hsu, Ni Xu
Sustainability (2020) Vol. 12, Iss. 18, pp. 7575-7575
Open Access | Times Cited: 12

An analysis of factors affecting the profits of new firms in Spain: Evidence from the food industry
Yehui Tong, Ramon Saladrigues
Agricultural Economics (Zemědělská ekonomika) (2022) Vol. 68, Iss. 1, pp. 28-38
Open Access | Times Cited: 8

Determinant Financial Distress: Evidence Manufacture Company in Indonesia Stock Exchange 2018 – 2022
Ida Ayu Fatmayuni, Sri Dwi Ari Ambarwati, Hendro Widjanarko
Accounting and Finance Studies (2024) Vol. 4, Iss. 1, pp. 1-16
Open Access | Times Cited: 1

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