The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction
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“Talaat et al. [146] showed that XAI also provides a breakdown of credit scores, offering transparency into how individual scores are calculated and the factors influencing them.”
From Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human (2025) · cites this paper as [146]
Citations
Cites
1 retracted
El-Rashidy, N. M., ElSayed, N. E., El-Ghamry, A., & Talaat, F. M. (2022) · Neural Computing and Applications · doi:10.1007/s00500-022-07420-1 · Cited by 58
Self-citationRetractedTowards A Rigorous Science of Interpretable Machine Learning
Doshi-Velez, F., & Kim, B. (2017) · arXiv · doi:10.48550/arxiv.1702.08608 · Cited by 3,121
Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101805 · Cited by 1,762
DARPA's Explainable Artificial Intelligence Program
Gunning, D., & Aha, D. W. (2019) · AI Magazine · doi:10.1609/aimag.v40i2.2850 · Cited by 1,360
Yeh, I.-C., & Lien, C.-H. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.12.020 · Cited by 885
An improved fire detection approach based on YOLO-v8 for smart cities
Talaat, F. M., & ZainEldin, H. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08809-1 · Cited by 642
Self-citationWeber, P., Carl, K. V., & Hinz, O. (2024) · Management Review Quarterly · doi:10.1007/s11301-023-00320-0 · Cited by 292
Machine learning-driven credit risk: a systemic review
Shi, S., Tse, R. T., Luo, W., d’Addona, S., & Pau, G. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07472-2 · Cited by 278
ZainEldin, H. Y., Gamel, S. A., El‐kenawy, E. M., Alharbi, A. H., Khafaga, D. S., Ibrahim, A. F., & Talaat, F. M. (2022) · Bioengineering · doi:10.3390/bioengineering10010018 · Cited by 246
Self-citationTalaat, F. M. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08372-9 · Cited by 140
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- El-Rashidy N, Ebrahim N, el Ghamry A, Talaat FM (2022) Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction. Neural Comput Applic. https://doi.org/10.1007/s00521-022-08007-59 · DOI
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Items 101–105 of 105
Yang, J., & Li, D. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.07.274
A structurally sparse and robust XAI framework
Noormohammadzadehmaleki, D., Oskouei, M. B., Taheri, A., Farhadi, A., & Zamanifar, A. (2026) · AI and Ethics · doi:10.1007/s43681-026-01322-w
Jaber, J. J., Alkhawaldeh, A. A. K., Mazahreh, Q. A. S., Alrowwad, A., Al-Gasaymeh, A., & Kaddumi, T. A. (2026) · Risks · doi:10.3390/risks14090194
Stability and Consistency of Explainable Deep Learning Methods in Credit Risk Assessment
Xu, T., Zhu, W., & Zhang, J. (2026) · International Conference on Digital Economy and Information Systems · doi:10.1145/3845872.3845880
Qaffas, A. A. (2026) · Journal of Intelligent & Fuzzy Systems · doi:10.1177/18758967261500934
Metadata
- Authors
- Talaat, F. M., Aljadani, A., Badawy, M., & Elhosseini, M.
- Affiliations
- Kafrelsheikh University (EG)
- Taibah University (SA)
- Mansoura University (EG)
- Corresponding author
- Talaat, Fatma M.
- Venue
- Neural Computing and Applications
- Published
- 2023-12-21
- Volume
- 36
- Issue
- 9
- Pages
- 4847-4865
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W4390049924
- Cited by
- 105
- References
- 36
- Citations by year
- 2026: 35 · 2025: 52 · 2024: 18
- FWCI
- 61.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neural Computing and Applications (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Accounting › Financial Distress and Bankruptcy Prediction
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Keywords
- credit card default prediction, credit scoring, explainable AI, interpretability, credit risk assessment, deep learning, black-box models, late payment
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