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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:

An improved boosting based on feature selection for corporate bankruptcy prediction
Gang Wang, Jian Ma, Shanlin Yang
Expert Systems with Applications (2013) Vol. 41, Iss. 5, pp. 2353-2361
Closed Access | Times Cited: 168

Showing 51-75 of 168 citing articles:

Features selection, data mining and finacial risk classification: a comparative study
Salim Lahmiri
Intelligent Systems in Accounting Finance & Management (2016) Vol. 23, Iss. 4, pp. 265-275
Closed Access | Times Cited: 30
Methodological approach of construction business failure prediction studies: a review
Hafiz Alaka, Lukumon O. Oyedele, Hakeem A. Owolabi, et al.
Construction Management and Economics (2016) Vol. 34, Iss. 11, pp. 808-842
Open Access | Times Cited: 28
Why Restaurants Fail? Part V: Role of Economic Factors, Risk, Density, Location, Cuisine, Health Code Violations and GIS Factors
H. G. Parsa, Jeff C. Kreeger, Jean‐Pierre van der Rest, et al.
International Journal of Hospitality & Tourism Administration (2019) Vol. 22, Iss. 2, pp. 142-167
Closed Access | Times Cited: 27
Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks
Santosh Kumar Shrivastav, P. Janaki Ramudu
Risks (2020) Vol. 8, Iss. 2, pp. 52-52
Open Access | Times Cited: 24
Supervised Learning for the Prediction of Firm Dynamics
Falco J. Bargagli-Stoffi, Jan Niederreiter, Massimo Riccaboni
Springer eBooks (2021), pp. 19-41
Closed Access | Times Cited: 20
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
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
Default Patterns in Seven EU Countries: A Random Forest Approach
Andreas Behr, Jurij Weinblat
International Journal of the Economics of Business (2016) Vol. 24, Iss. 2, pp. 181-222
Closed Access | Times Cited: 26
Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia
Zulkifli Halim, Shuhaida Mohamed Shuhidan, Zuraidah Mohd Sanusi
Business Process Management Journal (2021) Vol. 27, Iss. 4, pp. 1163-1178
Closed Access | Times Cited: 19
Bank failure prediction: corporate governance and financial indicators
Noora Alzayed, Rasol Eskandari, Hassan Yazdifar
Review of Quantitative Finance and Accounting (2023) Vol. 61, Iss. 2, pp. 601-631
Open Access | Times Cited: 7
No Free Lunch and Benchmarks
Edgar A. Duéñez‐Guzmán, Michael D. Vose
Evolutionary Computation (2012) Vol. 21, Iss. 2, pp. 293-312
Open Access | Times Cited: 26
Demonstrating non-inferiority of easy interpretable methods for insolvency prediction
Lennart Obermann, Stephan Waack
Expert Systems with Applications (2015) Vol. 42, Iss. 23, pp. 9117-9128
Closed Access | Times Cited: 24
Ensemble Classification and Extended Feature Selection for Credit Card Fraud Detection
F. Fadaei Noghani, Mohammad Hossein Moattar
DOAJ (DOAJ: Directory of Open Access Journals) (2017)
Closed Access | Times Cited: 24
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method
E. Sivasankar, C. Selvi, S. Mahalakshmi
Soft Computing (2019) Vol. 24, Iss. 6, pp. 3975-3988
Closed Access | Times Cited: 22
Banking failure prediction: a boosting classification tree approach
Alexandre Momparler, Pedro Carmona, Francisco Climent
Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad (2016) Vol. 45, Iss. 1, pp. 63-91
Open Access | Times Cited: 21
Novel evolutionary multi-objective soft subspace clustering algorithm for credit risk assessment
Chao Liu, Jing Xie, Qi Zhao, et al.
Expert Systems with Applications (2019) Vol. 138, pp. 112827-112827
Closed Access | Times Cited: 21
The Impacts of Machine Learning in Financial Crisis Prediction
Siddhartha Vadlamudi
Asian Business Review (2020) Vol. 10, Iss. 3, pp. 171-176
Open Access | Times Cited: 20
Bankruptcy prediction using machine learning and an application to the case of the COVID-19 recession
Aditya Narvekar, Debashis Guha
Data Science in Finance and Economics (2021) Vol. 1, Iss. 2, pp. 180-195
Open Access | Times Cited: 17
A new metaheuristic optimization model for financial crisis prediction: Towards sustainable development
Mohamed Elhoseny, Noura Metawa, Ibrahim M. El‐Hasnony
Sustainable Computing Informatics and Systems (2022) Vol. 35, pp. 100778-100778
Open Access | Times Cited: 11
An efficient method for mining high occupancy itemsets based on equivalence class and early pruning
Loan T. T. Nguyen, Thang Mai, Giao-Huy Pham, et al.
Knowledge-Based Systems (2023) Vol. 267, pp. 110441-110441
Closed Access | Times Cited: 6
A Hybrid Approach for Class Imbalance Problem in Customer Churn Prediction: A Novel Extension to Under-sampling
Uma R. Salunkhe, Suresh N. Mali
International Journal of Intelligent Systems and Applications (2018) Vol. 10, Iss. 5, pp. 71-81
Open Access | Times Cited: 19
The value of publicly available, textual and non-textual information for startup performance prediction
Ulrich Kaiser, Johan Moritz Kuhn
Journal of Business Venturing Insights (2020) Vol. 14, pp. e00179-e00179
Open Access | Times Cited: 17
A comparison of classification methods across different data complexity scenarios and datasets
Michael Scholz, Tristan Wimmer
Expert Systems with Applications (2020) Vol. 168, pp. 114217-114217
Closed Access | Times Cited: 17
Anomaly detection methods for bankruptcy prediction
Shuoshuo Fan, Guohua Liu, Chen Zhao
(2017), pp. 1456-1460
Closed Access | Times Cited: 18
Predicting the Insolvency of SMEs Using Technological Feasibility Assessment Information and Data Mining Techniques
Sanghoon Lee, Keunho Choi, Donghee Yoo
Sustainability (2020) Vol. 12, Iss. 23, pp. 9790-9790
Open Access | Times Cited: 13

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