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:

Explainability of Machine Learning Models for Bankruptcy Prediction
Min Sue Park, Hwijae Son, Chongseok Hyun, et al.
IEEE Access (2021) Vol. 9, pp. 124887-124899
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Prediction of Bankruptcy Using Machine Learning Models
G. K. Kamalam, S. Naveen Kumar, G. Subiga, et al.
Lecture notes in networks and systems (2024), pp. 313-322
Closed Access

Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy
Cemil Emre Yavas, Jongyeop Kim, Lei Chen
IEEE Access (2024) Vol. 12, pp. 105429-105459
Open Access

Deep Learning-Based Early Warning System for Bankruptcy Risk in Indian MSMEs: A Feasibility Study
S. R. Sharma, Raj Upadhyay, Sanchali Das
Lecture notes in electrical engineering (2024), pp. 401-414
Closed Access

Application of Machine Learning Tools in Bankruptcy Prediction: A Comparative Study Between Extra Trees Classifier and Logistic Regression
Wafia Nokairi, Nabil Bouayad Amine, Soukaina El Amine
Lecture notes in networks and systems (2024), pp. 144-150
Closed Access

Forecasting Bank Default Risk with Interpretable Machine Learning: The Study of Chinese Banks
Pan Tang, Hongjuan Peng, Sihui Luo, et al.
Emerging Markets Finance and Trade (2024), pp. 1-23
Closed Access

Delving into the Efficiency of AI Technologies within the Financial Sector: A Systematic Literature Review
Nadire Çavuş, Adaeze Ubah, Nuriye Sancar
Lecture notes in networks and systems (2024), pp. 128-136
Closed Access

Assessing Bank Loan Applicant (Credit Score) Through ML: A Comparative Approach
Md Aminul Islam, AM Mahmud, Zainab Loukil, et al.
Lecture notes in networks and systems (2024), pp. 431-445
Closed Access

Random Forests with Economic Roots: Explaining Machine Learning in Hedonic Imputation
Shipei Zeng, D. C. Rao
Computational Economics (2024)
Closed Access

Using Machine Learning and Counterfactual Explanations for Financial Distress Prediction
Minh Nguyen, Thanh Duc Ngo, Bang Nguyen, et al.
(2024)
Closed Access

Analyzing the Performance of Ensemble Machine Learning Algorithms for Predicting Loan Eligibility
Santhosh Kumar C, S Manishankar, P.S. Reddy, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1362-1367
Closed Access

Application and improvement of algorithms in machine learning based loan review system
Guoyong Rao, Peiyi Hu, Bo Liu
(2024), pp. 120-124
Closed Access

Bankruptcy Prediction using Emperor Penguin Optimizer with Deep Learning Model on Qualitative Dataset
Vijay Abrol, Priyanka Singh, R. Subhashini, et al.
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 1028-1033
Closed Access | Times Cited: 1

Modeling Inverse Demand Function with Explainable Dual Neural Networks
Zhiyu Cao, Zihan Chen, Prerna Mishra, et al.
SSRN Electronic Journal (2023)
Open Access | Times Cited: 1

Using SHAP to analyze technical and tactical performance in table tennis based on hybrid Catboost-TPE with four-phase evaluation theory
Honglin Song, Yutao Li, Pengyu Pan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

Modeling Inverse Demand Function with Explainable Dual Neural Networks
Zhiyu Cao, Zihan Chen, Prerna Mishra, et al.
(2023), pp. 108-115
Open Access | Times Cited: 1

Deep learning based loan eligibility prediction with Social Border Collie Optimization
G.L. Infant Cyril, J. P. Ananth
Kybernetes (2022) Vol. 52, Iss. 8, pp. 2847-2867
Closed Access | Times Cited: 2

Comparative Evaluation of Machine Learning Algorithms with Parameter Optimization and Feature Elimination for Fraud Detection
Yunus Koç, Mustafa Çetın
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2021), pp. 1-6
Closed Access | Times Cited: 1

Analyzing False Positives in Bankruptcy Prediction with Explainable AI
Akshat Mahajan, K.K. Shukla
(2023)
Closed Access

Assessing The Explainability of Lgbm Model For Effort Estimation on ISBSG Dataset
Merve Özdeş Demir, Bahar Gezici, Ayça Tarhan
(2023) Vol. 40, pp. 1-6
Closed Access

Feature selection for predicting bankruptcy: Comparative analysis
G. Premalatha, R. Priyanka, Konanki Chaitya
(2023), pp. 1-5
Closed Access

Machine Learning Techniques in Bankruptcy Prediction: A Systematic Literature Review
Απόστολος Δασίλας, Anna Rigani
(2023)
Closed Access

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