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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:

Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches
Guotai Chi, Mohammad Shamsu Uddin, Mohammad Zoynul Abedin, et al.
International Journal of Artificial Intelligence Tools (2019) Vol. 28, Iss. 05, pp. 1950017-1950017
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Machine learning-driven credit risk: a systemic review
Si Shi, Rita Tse, Wuman Luo, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 14327-14339
Open Access | Times Cited: 73
Integration of Artificial Intelligence Technology in Management Accounting Information System: An Empirical Study
Emon Kalyan Chowdhury
International series in management science/operations research/International series in operations research & management science (2023), pp. 35-46
Closed Access | Times Cited: 23
Credit Risk Prediction using Ensemble Machine Learning Algorithms
Vijaya Kanaparthi
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 41-47
Closed Access | Times Cited: 23
Fuzzy Theory in Credit Scoring: A Literature Review
Fabian Leandro Moreno Salazar, Juan Carlos Figueroa–García
Communications in computer and information science (2025), pp. 55-68
Closed Access | Times Cited: 1
Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability
Mohammad Shamsu Uddin, Guotai Chi, Mazin A. M. Al Janabi, et al.
International Journal of Finance & Economics (2020) Vol. 27, Iss. 3, pp. 3713-3729
Closed Access | Times Cited: 53
A Novel Method for Credit Scoring Based on Cost-Sensitive Neural Network Ensemble
Wirot Yotsawat, Pakaket Wattuya, Anongnart Srivihok
IEEE Access (2021) Vol. 9, pp. 78521-78537
Open Access | Times Cited: 36
An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction
Wenjie Xu, Jujie Wang, Yue Zhang, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 27
Optimal cost-sensitive credit scoring using a new hybrid performance metric
Nasser Khalili, Mohamad Ali Rastegar
Expert Systems with Applications (2022) Vol. 213, pp. 119232-119232
Closed Access | Times Cited: 21
Digital financial consumers' decision-making: a systematic literature review and integrative framework
Marco Barone, Candida Bussoli, Lucrezia Fattobene
International Journal of Bank Marketing (2024) Vol. 42, Iss. 7, pp. 1978-2022
Closed Access | Times Cited: 4
Predicting prices of the US and G7 stock indices in uncertain times: Evidence from the application of a hybrid neural network
Ahmed Bouteska, Taimur Sharif, Petr Hájek, et al.
Journal of Behavioral and Experimental Economics (2025), pp. 102366-102366
Closed Access
Explainable AI based LightGBM prediction model to predict default borrower in Social Lending platform
Li-Hua Li, Alok Kumar Sharma, Sheng-Tzong Cheng
Intelligent Systems with Applications (2025), pp. 200514-200514
Open Access
Feature selection in credit risk modeling: an international evidence
Ying Zhou, Mohammad Shamsu Uddin, Tabassum Habib, et al.
Economic Research-Ekonomska Istraživanja (2021) Vol. 34, Iss. 1, pp. 3064-3091
Open Access | Times Cited: 24
Credit risk evaluation: a comprehensive study
Arijit Bhattacharya, Saroj Kr. Biswas, Ardhendu Mandal
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 18217-18267
Closed Access | Times Cited: 14
Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm
Mengdan Feng, Yonghui Duan, Xiang Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
An Ensemble LGBM (Light Gradient Boosting Machine) Approach for Crude Oil Price Prediction
Sad Wadi Sajid, Mahmudul Hasan, Md. Fazle Rabbi, et al.
International series in management science/operations research/International series in operations research & management science (2023), pp. 153-165
Closed Access | Times Cited: 6
Foreign Currency Exchange Rate Prediction Using Long Short-Term Memory, Support Vector Regression and Random Forest Regression
Md. Fazle Rabbi, Mahmudul Hasan, Fahmida Tasnim Dhonno, et al.
Contributions to finance and accounting (2022), pp. 251-267
Closed Access | Times Cited: 9
Credit Risk Assessment with Madaline and Multilayer Perceptrons
Maxwell Tetteh, Arundhathi Puthussery, Yamunakrishnan, et al.
Lecture notes in networks and systems (2024), pp. 555-568
Closed Access | Times Cited: 1
Default Risk Prediction Based on Support Vector Machine and Logit Support Vector Machine
Fahmida-E-Moula, Nusrat Afrin Shilpa, Preity Shaha, et al.
International series in management science/operations research/International series in operations research & management science (2023), pp. 93-106
Closed Access | Times Cited: 3
Attention based dynamic graph neural network for asset pricing
Ajim Uddin, Xinyuan Tao, Dantong Yu
Global Finance Journal (2023) Vol. 58, pp. 100900-100900
Open Access | Times Cited: 3
Automated credit assessment framework using ETL process and machine learning
Neepa Biswas, Anindita Mondal, Ari Kusumastuti, et al.
Innovations in Systems and Software Engineering (2022)
Open Access | Times Cited: 5
Hybrid classification algorithms based on instance filtering
Tzu-Tsung Wong, Nai-Yu Yang, Guo-Hong Chen
Information Sciences (2020) Vol. 520, pp. 445-455
Closed Access | Times Cited: 6
Machine Learning in Credit Risk Modeling: Empirical Application of Neural Network Approaches
Mohammad Shamsu Uddin
Studies in computational intelligence (2021), pp. 417-435
Closed Access | Times Cited: 4
Applying Machine Learning Algorithms to Predict Liquidity Risks
Tisa Maria Antony, B. Sathish Kumar
Journal of System and Management Sciences (2024) Vol. 14, Iss. 3
Open Access
Predicting of Credit Risk Using Machine Learning Algorithms
Tisa Maria Antony, B. Sathish Kumar
Lecture notes in networks and systems (2024), pp. 99-114
Closed Access
A Review Study of AI Methods for Credit Default Prediction
Mohamed Abdelaziz Mandour, Guotai Chi
Algorithms for intelligent systems (2024), pp. 265-284
Closed Access
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