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:

Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
Vicente García, Ana I. Marqués, J. Salvador Sánchez, et al.
Computational Economics (2017) Vol. 53, Iss. 3, pp. 1019-1031
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A new perspective of performance comparison among machine learning algorithms for financial distress prediction
Yu‐Pei Huang, Meng-Feng Yen
Applied Soft Computing (2019) Vol. 83, pp. 105663-105663
Closed Access | Times Cited: 115

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: 63

Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World
Talha Mahboob Alam, Kamran Shaukat, Mubbashar Mushtaq, et al.
The Computer Journal (2020) Vol. 64, Iss. 11, pp. 1731-1746
Closed Access | Times Cited: 59

Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya
Daniel Ogachi, Richard Marisa Ndege, Peter Gaturu, et al.
Journal of risk and financial management (2020) Vol. 13, Iss. 3, pp. 47-47
Open Access | Times Cited: 50

A conservative approach for online credit scoring
Afshin Ashofteh, Jorge Miguel Bravo
Expert Systems with Applications (2021) Vol. 176, pp. 114835-114835
Open Access | Times Cited: 44

Leveraging asynchronous federated learning to predict customers financial distress
Ahmed Imteaj, M. Hadi Amini
Intelligent Systems with Applications (2022) Vol. 14, pp. 200064-200064
Open Access | Times Cited: 28

Machine Learning for Identifying Risk in Financial Statements: A Survey
Elias Zavitsanos, Eirini Spyropoulou, George Giannakopoulos, et al.
ACM Computing Surveys (2025)
Closed Access

Dynamic Bankruptcy Prediction Models for European Enterprises
Tomasz Korol
Journal of risk and financial management (2019) Vol. 12, Iss. 4, pp. 185-185
Open Access | Times Cited: 42

Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping
Armando Bolívar, Vicente García, R. Alejo, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5845-5845
Open Access | Times Cited: 3

Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan
Tomasz Korol, Anestis Fotiadis
Oeconomia Copernicana (2022) Vol. 13, Iss. 2, pp. 407-438
Open Access | Times Cited: 14

Debt Restructuring and Financial Performance SOEs in Indonesia
Hotman Fredy, Khalida Utami, Mentari Pagiku
Journal of Economics Finance and Management Studies (2024) Vol. 07, Iss. 05
Open Access | Times Cited: 1

Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor's Opinion
Andreas Sideras, Konstantinos Bougiatiotis, Elias Zavitsanos, et al.
(2024), pp. 453-460
Open Access | Times Cited: 1

The data sampling effect on financial distress prediction by single and ensemble learning techniques
Kuen-Liang Sue, Chih‐Fong Tsai, Andy Chiu
Communication in Statistics- Theory and Methods (2021) Vol. 52, Iss. 12, pp. 4344-4355
Closed Access | Times Cited: 10

Probability of Corporate Bankruptcy: Application to Portuguese Manufacturing Industry SMEs
Luís Pacheco, Mara Madaleno, P. M. M. Correia, et al.
International Journal of Business and Society (2022) Vol. 23, Iss. 2, pp. 1169-1189
Open Access | Times Cited: 7

Assessing the functionality of models for predicting pharmaceutical companies
Danil A. Zyukin, A. A. Golovin, Olga Viktorovna Pshenichnikova, et al.
Revista Amazonia Investiga (2020) Vol. 9, Iss. 28, pp. 272-280
Open Access | Times Cited: 10

Russian institution of bankruptcy under its legal transformation
О.А. Львова
Actual Problems of Economics and Law (2021) Vol. 15, Iss. 2
Open Access | Times Cited: 9

Forecasting Financial Distress With Machine Learning – A Review
Denize Lemos Duarte, Flávio Barboza
Future Studies Research Journal Trends and Strategies (2020) Vol. 12, Iss. 3, pp. 528-574
Open Access | Times Cited: 8

Bankruptcy Prediction using Diverse Machine Learning Algorithms
Ahmad Hassan, Nazish Yousaf
(2022), pp. 106-111
Closed Access | Times Cited: 5

Feature Selection in Corporate Bankruptcy Prediction Using ML Techniques: A Systematic Literature Review
Mohd Raagib Shakeel, Taufeeque Ahmad Siddiqui, Shahzad Alam
Lecture notes in electrical engineering (2023), pp. 345-363
Closed Access | Times Cited: 2

Bankruptcy Prediction Model with Risk Factors using Fuzzy Logic Approach
Teoh Yeong Kin, Akmal Haziq Ahmad Aizam, Suzanawati Abu Hasan, et al.
Journal of Computing Research and Innovation (2021) Vol. 6, Iss. 2, pp. 102-110
Open Access | Times Cited: 5

Evaluating company bankruptcies using causal forests
Wanderson Rocha Bittencourt, Pedro Henrique Melo Albuquerque
Revista Contabilidade & Finanças (2020) Vol. 31, Iss. 84, pp. 542-559
Open Access | Times Cited: 4

Using Decision Trees to Predict Insolvency in Spanish SMEs: Is Early Warning Possible?
Andrés Navarro Galera, Juan Lara‐Rubio, Pavel Novoa‐Hernández, et al.
Computational Economics (2024)
Closed Access

Two-Step Classification for Solving Data Imbalance and Anomalies in an Altman Z-Score-based Bankruptcy Prediction Model
Abdul Syukur, Arry Maulana Syarif, Ika Novita Dewi, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access

Artificial Neural Networks in Forecasting the Consumer Bankruptcy Risk with Innovative Ratios
Tomasz Korol
Contemporary Economics (2024) Vol. 18, Iss. 4, pp. 391-407
Open Access

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