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:

Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data
Magdalena Brygała
Risks (2022) Vol. 10, Iss. 2, pp. 24-24
Open Access | Times Cited: 17

Showing 17 citing articles:

Data Mining for the Adjustment of Credit Scoring Models in Solidarity Economy Entities: A Methodology for Addressing Class Imbalances
Iván Mauricio Bermúdez Vera, Jaime Mosquera, Diego Fernando Manotas Duque
Risks (2025) Vol. 13, Iss. 2, pp. 20-20
Open Access

Comparing the Performance of Corporate Bankruptcy Prediction Models Based on Imbalanced Financial Data
Seol-Hyun Noh
Sustainability (2023) Vol. 15, Iss. 6, pp. 4794-4794
Open Access | Times Cited: 11

Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset
Ummey Hany Ainan, Lip Yee Por, Yen‐Lin Chen, et al.
IEEE Access (2024) Vol. 12, pp. 9369-9381
Open Access | Times Cited: 2

Is Artificial Intelligence Really More Accurate in Predicting Bankruptcy?
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová
International Journal of Financial Studies (2024) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 2

Personal bankruptcy prediction using machine learning techniques
Magdalena Brygała, Tomasz Korol
Economics and Business Review/˜The œPoznań University of Economics Review (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 2

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: 13

Predicting bankruptcy using artificial intelligence: The case of the engineering industry
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová, et al.
Economics & Sociology (2023) Vol. 16, Iss. 4, pp. 178-190
Open Access | Times Cited: 4

The influence of interest rates on outstanding loans of enterprises on their structure in the bankruptcy warning system
Andrii Butyrskyi, Svitlana Lutkovska, Rodion Poliakov, et al.
Problems and Perspectives in Management (2023) Vol. 21, Iss. 2, pp. 198-209
Open Access | Times Cited: 2

The Curator’s Role and Expertise in Managing Bankrupt Estates Amid Conflict
Markoni nbsp, Willy Arafah
Open Journal of Social Sciences (2024) Vol. 12, Iss. 10, pp. 151-159
Open Access

Personal Bankruptcy Prediction Using Logistic Regression Model
Sharifah Heryati Syed Nor, Shafinar Ismail, Yap Bee Wah
Information Management and Business Review (2024) Vol. 16, Iss. 3S(I)a, pp. 366-378
Open Access

The Credit Risk Problem—A Developing Country Case Study
Doris Fejza, Dritan Nace, Orjada Kulla
Risks (2022) Vol. 10, Iss. 8, pp. 146-146
Open Access | Times Cited: 3

CORPORATE BANKRUPTCY PREDICTION: A SYSTEMATIC LITERATURE REVIEW AND COMPREHENSIVE BIBLIOMETRIC ANALYSIS
Dominika Gajdosikova, Barbora Gabrikova
Economics & Law (2023) Vol. 5, Iss. 1, pp. 105-132
Open Access | Times Cited: 1

Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia
Dominika Gajdosikova, Katarína Valášková
Economics and Culture (2023) Vol. 20, Iss. 1, pp. 30-42
Open Access | Times Cited: 1

Application of Logistic Regression Model on Imbalanced Data in Personal Bankruptcy Prediction
Aqilah Nadiah Md Sahiq, Shafinar Ismail, Sharifah Heryati Syed Nor, et al.
(2022), pp. 120-125
Closed Access | Times Cited: 1


Čedomir Gligorić, Jana Rodic, Miloš Pavlović, et al.
Economics & Law (2023) Vol. 5, Iss. 1
Open Access

Factors Affecting Personal Bankruptcy among Malaysians
Norliza Che-Yahya, Nor Akila Mohd Kassim, Siti Sarah Alyasa-Gan, et al.
Information Management and Business Review (2023) Vol. 15, Iss. 3(SI), pp. 229-243
Open Access

Going concern, COVID and bankruptcy prediction: in Italy identified valid forecast ratios of bankruptcy prediction
Prof. Maria Silvia Avi, Baldassa Giulia
International Journal of Business & Management Studies (2022) Vol. 03, Iss. 08, pp. 45-76
Open Access

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