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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:

Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios
Hong Hanh Le, Jean-Laurent Viviani
Research in International Business and Finance (2017) Vol. 44, pp. 16-25
Closed Access | Times Cited: 123

Showing 26-50 of 123 citing articles:

Thermal insulation of subsea pipelines for different materials
Jiankun Yang, Marcelo Igor Lourenço, Segen F. Estefen
International Journal of Pressure Vessels and Piping (2018) Vol. 168, pp. 100-109
Closed Access | Times Cited: 24
Collapse pressure of sandwich pipes with strain-hardening cementitious composite - Part 2: A suitable prediction equation
Jiankun Yang, Segen F. Estefen, Guangming Fu, et al.
Thin-Walled Structures (2020) Vol. 148, pp. 106606-106606
Closed Access | Times Cited: 21
Using boosting algorithms to predict bank failure: An untold story
Thi Thanh Xuan Pham, Tin H. Ho
International Review of Economics & Finance (2021) Vol. 76, pp. 40-54
Closed Access | Times Cited: 18
Predicting bank inactivity: A comparative analysis of machine learning techniques for imbalanced data
Ali Ben Mrad, Amine Lahiani, Salma Mefteh‐Wali, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 2
Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research
Li Xian Liu, Shuangzhe Liu, Milind Sathye
Journal of risk and financial management (2021) Vol. 14, Iss. 10, pp. 474-474
Open Access | Times Cited: 17
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
Assessing bank default determinants via machine learning
Valentina Lagasio, Francesca Pampurini, Annagiulia Pezzola, et al.
Information Sciences (2022) Vol. 618, pp. 87-97
Closed Access | Times Cited: 10
The relative importance of textual indexes in predicting the future performance of banks: A connection weight approach
Javid Iqbal, Abubakr Saeed, Rao Aamir Khan
Borsa Istanbul Review (2022) Vol. 23, Iss. 1, pp. 240-253
Open Access | Times Cited: 9
Business model contributions to bank profit performance: A machine learning approach
Fernando Bolívar, Miguel A. Durán, Ana Lozano‐Vivas
Research in International Business and Finance (2023) Vol. 64, pp. 101870-101870
Open Access | Times Cited: 5
A sparsity algorithm for finding optimal counterfactual explanations: Application to corporate credit rating
Dan Wang, Zhi Chen, Ionuţ Florescu, et al.
Research in International Business and Finance (2023) Vol. 64, pp. 101869-101869
Closed Access | Times Cited: 5
Predicting Bank Financial Failures using Random Forest
Zuherman Rustam, Glori Stephani Saragih
(2018), pp. 81-86
Closed Access | Times Cited: 15
Applications of machine learning for corporate bond yield spread forecasting
Jong‐Min Kim, Dong Kim, Hojin Jung
The North American Journal of Economics and Finance (2021) Vol. 58, pp. 101540-101540
Closed Access | Times Cited: 12
The resilience of the U.S. banking system
Théophilos Papadimitriou, Periklis Gogas, Άννα Αγραπετίδου
International Journal of Finance & Economics (2020) Vol. 27, Iss. 3, pp. 2819-2835
Closed Access | Times Cited: 12
Machine learning in the boardroom: Gender diversity prediction using boosting and undersampling methods
Haroon ur Rashid Khan, Waqas Bin Khidmat, Amira Hammouda, et al.
Research in International Business and Finance (2023) Vol. 66, pp. 102053-102053
Closed Access | Times Cited: 4
Social governance, family happiness, and financial inclusion
Haomeng Xi, Jizhou Wang
Finance research letters (2023) Vol. 61, pp. 104946-104946
Closed Access | Times Cited: 4
Modeling food-related business closure in select New York City communities using multi-scale and spatial features
Shu Wang, Debra F. Laefer
Environment and Planning B Urban Analytics and City Science (2024)
Closed Access | Times Cited: 1
Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach
Junyoung Byun, Jaewook Lee, H.W. Lee, et al.
IEEE Access (2024) Vol. 13, pp. 1546-1565
Open Access | Times Cited: 1
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
Revisiting bank failure in the United States: a fuzzy-set analysis
Alexandre Momparler, Pedro Carmona, Francisco Climent
Economic Research-Ekonomska Istraživanja (2020) Vol. 33, Iss. 1, pp. 3017-3033
Open Access | Times Cited: 10
Classifying a Lending Portfolio of Loans with Dynamic Updates via a Machine Learning Technique
Fazlollah Soleymani, Houman Masnavi, Stanford Shateyi
Mathematics (2020) Vol. 9, Iss. 1, pp. 17-17
Open Access | Times Cited: 9
A Machine Learning Approach to Evaluate the Performance of Rural Bank
Jun Wei, Tao Ye, Zhe Zhang
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 9
MACHINE LEARNING IN BANKRUPTCY PREDICTION – A REVIEW
Claudiu Clement
Journal of Public Administration Finance and Law (2020), Iss. 17, pp. 178-196
Closed Access | Times Cited: 9
Thai Non-Life Insurance Companies’ Resilience and the Historic 2011 Floods: Some Recommendations for Greater Sustainability
Kanitsorn Terdpaopong, Robert C. Rickards
Sustainability (2021) Vol. 13, Iss. 16, pp. 8890-8890
Open Access | Times Cited: 9
Demographics as Determinants of Building Occupants’ Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach
Abdulrahim Ali, Min Lin, Maedot S. Andargie, et al.
Journal of Computing in Civil Engineering (2022) Vol. 36, Iss. 4
Closed Access | Times Cited: 6
Machine learning techniques for default prediction: an application to small Italian companies
Flavio Bazzana, Marco Bee, Ahmed Almustfa Hussin Adam Khatir
Risk Management (2023) Vol. 26, Iss. 1
Open Access | Times Cited: 3

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