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:

Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework
Mohammad Mahdi Mousavi, Jamal Ouenniche, Bing Xu
International Review of Financial Analysis (2015) Vol. 42, pp. 64-75
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction
Jinxian Zhao, Jamal Ouenniche, Johannes De Smedt
Machine Learning with Applications (2024) Vol. 15, pp. 100527-100527
Open Access | Times Cited: 16

Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis
Katarína Valašková, Tomáš Klieštik, Lucia Švábová, et al.
Sustainability (2018) Vol. 10, Iss. 7, pp. 2144-2144
Open Access | Times Cited: 115

Support Vector Machine Methods and Artificial Neural Networks Used for the Development of Bankruptcy Prediction Models and their Comparison
Jakub Horák, Jaromír Vrbka, Petr Šuleř
Journal of risk and financial management (2020) Vol. 13, Iss. 3, pp. 60-60
Open Access | Times Cited: 73

No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure
Pedro Carmona, Aladdin Dwekat, Zeena Mardawi
Research in International Business and Finance (2022) Vol. 61, pp. 101649-101649
Open Access | Times Cited: 55

The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation
Mohammad Mahdi Mousavi, Jilei Lin
Expert Systems with Applications (2020) Vol. 159, pp. 113438-113438
Closed Access | Times Cited: 66

Business failure, efficiency, and volatility: Evidence from the European insurance industry
Martin Eling, Ruo Jia
International Review of Financial Analysis (2018) Vol. 59, pp. 58-76
Closed Access | Times Cited: 61

The impact of SME’s pre-bankruptcy financial distress on earnings management tools
Domenico Campa, María‐del‐Mar Camacho‐Miñano
International Review of Financial Analysis (2015) Vol. 42, pp. 222-234
Closed Access | Times Cited: 54

Bankruptcy forecasting using case-based reasoning: The CRePERIE approach
Fábio Sartori, Alice Mazzucchelli, Angelo Di Gregorio
Expert Systems with Applications (2016) Vol. 64, pp. 400-411
Closed Access | Times Cited: 48

Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China
Feng Dong, Ruyin Long, Zhengfu Bian, et al.
Natural Hazards (2017) Vol. 87, Iss. 3, pp. 1453-1468
Closed Access | Times Cited: 46

Innovations in Financial Management: Recursive Prediction Model Based on Decision Trees
Ivana Podhorská, Jaromír Vrbka, George Lăzăroiu, et al.
Marketing and Management of Innovations (2020), Iss. 3, pp. 276-292
Open Access | Times Cited: 34

Social networks, financial knowledge, and urban–rural family entrepreneurship
Xiaofei Jia, Naiqian Zhang, Tong Tong, et al.
Finance research letters (2025), pp. 107029-107029
Closed Access

An out-of-sample evaluation framework for DEA with application in bankruptcy prediction
Jamal Ouenniche, Kaoru Tone
Annals of Operations Research (2017) Vol. 254, Iss. 1-2, pp. 235-250
Open Access | Times Cited: 35

A horse race of models and estimation methods for predicting bankruptcy
Nawaf Almaskati, Ron Bird, Danny Yeung, et al.
Advances in Accounting (2021) Vol. 52, pp. 100513-100513
Closed Access | Times Cited: 24

Does capital input contribute to green total-factor capital efficiency?
Ruifeng Zhang, Lishuang Zhao, Song Shu-hong
Finance research letters (2024) Vol. 62, pp. 105147-105147
Closed Access | Times Cited: 3

Predicting Corporate Financial Failure Using Macroeconomic Variables and Accounting Data
Eduardo Acosta-González, Fernando Fernández Rodríguez, Hicham Ganga
Computational Economics (2017) Vol. 53, Iss. 1, pp. 227-257
Closed Access | Times Cited: 33

Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions
Mohammad Mahdi Mousavi, Jamal Ouenniche
Annals of Operations Research (2018) Vol. 271, Iss. 2, pp. 853-886
Open Access | Times Cited: 31

Investigation of financial distress with a dynamic logit based on the linkage between liquidity and profitability status of listed firms
Apostolos G. Christopoulos, Ioannis Dokas, Petros Kalantonis, et al.
Journal of the Operational Research Society (2018) Vol. 70, Iss. 10, pp. 1817-1829
Closed Access | Times Cited: 31

A comparative analysis of two-stage distress prediction models
Mohammad Mahdi Mousavi, Jamal Ouenniche, Kaoru Tone
Expert Systems with Applications (2018) Vol. 119, pp. 322-341
Open Access | Times Cited: 27

Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models
Tingting Yang, Xuefeng Guan, Yuehui Qian, et al.
Sustainability (2019) Vol. 11, Iss. 14, pp. 3826-3826
Open Access | Times Cited: 20

The Application of Graphic Methods and the DEA in Predicting the Risk of Bankruptcy
Róbert Štefko, Jarmila Horváthová, Martina Mokrišová
Journal of risk and financial management (2021) Vol. 14, Iss. 5, pp. 220-220
Open Access | Times Cited: 16

KPIs Reporting and Financial Performance in the Transition to Mandatory Disclosure: The Case of Italy
Salvatore Loprevite, Domenico Raucci, Daniela Rupo
Sustainability (2020) Vol. 12, Iss. 12, pp. 5195-5195
Open Access | Times Cited: 16

Ensemble machine learning algorithm optimization of bankruptcy prediction of bank
Bambang Banu Siswoyo, Zuraida Abal Abas, Ahmad Naim Che Pee, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 2, pp. 679-679
Open Access | Times Cited: 11

Leverage dan Profitabilitas dalam Memprediksi Financial Distress Perusahaan Pertambangan Periode 2016-2018
Axel Giovanni, Devi Wahyu Utami, Thesya Yuzevin
Journal of Business and Banking (2020) Vol. 10, Iss. 1, pp. 151-151
Open Access | Times Cited: 13

Modelling bankruptcy prediction models in Slovak companies
Mária Kováčová, Jana Klieštiková
SHS Web of Conferences (2017) Vol. 39, pp. 01013-01013
Open Access | Times Cited: 12

Assessing the Financial Health of Companies Engaged in Mining and Extraction Using Methods of Complex Evaluation of Enterprises
Jaromír Vrbka, Zuzana Rowland
Contributions to economics (2019), pp. 321-333
Closed Access | Times Cited: 10

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