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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:

Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal
Raquel Flórez-López, Juan Manuel Ramón-Jerónimo
Expert Systems with Applications (2015) Vol. 42, Iss. 13, pp. 5737-5753
Closed Access | Times Cited: 98

Showing 26-50 of 98 citing articles:

Computational approaches and data analytics in financial services: A literature review
Dimitris Andriosopoulos, Michael Doumpos, Pãnos M. Pardalos, et al.
Journal of the Operational Research Society (2019) Vol. 70, Iss. 10, pp. 1581-1599
Open Access | Times Cited: 56
Interpretability in the medical field: A systematic mapping and review study
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
Applied Soft Computing (2021) Vol. 117, pp. 108391-108391
Closed Access | Times Cited: 49
Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China
Yi Liu, Menglong Yang, Yudong Wang, et al.
International Review of Financial Analysis (2021) Vol. 79, pp. 101971-101971
Closed Access | Times Cited: 46
A focal-aware cost-sensitive boosted tree for imbalanced credit scoring
Wanan Liu, Hong Fan, Min Xia, et al.
Expert Systems with Applications (2022) Vol. 208, pp. 118158-118158
Closed Access | Times Cited: 34
Exploring the Potential of Long Short‐Term Memory Networks for Improving Understanding of Continental‐ and Regional‐Scale Snowpack Dynamics
Yuan‐Heng Wang, Hoshin V. Gupta, Xubin Zeng, et al.
Water Resources Research (2022) Vol. 58, Iss. 3
Open Access | Times Cited: 31
Investigating the beneficial impact of segmentation-based modelling for credit scoring
Khaoula Idbenjra, Kristof Coussement, Arno De Caigny
Decision Support Systems (2024) Vol. 179, pp. 114170-114170
Closed Access | Times Cited: 7
An explainable data-driven decision support framework for strategic customer development
Mohsen Abbaspour Onari, Mustafa Jahangoshai Rezaee, Morteza Saberi, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111761-111761
Open Access | Times Cited: 7
Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art
André Aoun Montevechi, Rafael de Carvalho Miranda, André Luiz Medeiros, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109082-109082
Closed Access | Times Cited: 7
Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation
Jiaming Liu, Xuemei Zhang, Haitao Xiong
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1625-1660
Closed Access | Times Cited: 6
An innovative machine learning workflow to research China’s systemic financial crisis with SHAP value and Shapley regression
Da Wang, YingXue Zhou
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China
Nana Chai, Bi Wu, Weiwei Yang, et al.
Emerging Markets Finance and Trade (2019) Vol. 55, Iss. 11, pp. 2523-2543
Closed Access | Times Cited: 49
An explainable machine learning model for encompassing the mechanical strength of polymer-modified concrete
Md. Habibur Rahman Sobuz, M.R. Khatun, Md. Kawsarul Islam Kabbo, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 5
An ensemble learning model with dynamic sampling and feature fusion network for class sparsity in credit risk classification
Changhua He, Lean Yu, Xi Xi, et al.
Annals of Operations Research (2025)
Closed Access
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance
Md Talha Mohsin, Nabid Bin Nasim
(2025)
Closed Access
Approaches for credit scorecard calibration: An empirical analysis
Artem Bequé, Kristof Coussement, Ross W. Gayler, et al.
Knowledge-Based Systems (2017) Vol. 134, pp. 213-227
Closed Access | Times Cited: 45
Combining forecasts: Performance and coherence
Mary E. Thomson, Andrew C. Pollock, Dilek Önkal, et al.
International Journal of Forecasting (2018) Vol. 35, Iss. 2, pp. 474-484
Open Access | Times Cited: 45
QLIME-A Quadratic Local Interpretable Model-Agnostic Explanation Approach
Steven Bramhall, Hayley Horn, Michael Tieu, et al.
SMU Data Science Review (2020) Vol. 3, Iss. 1, pp. 4
Closed Access | Times Cited: 33
Data Science for Economics and Finance
Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Springer eBooks (2021)
Closed Access | Times Cited: 31
The Past, Present, and Prospective Future of XAI: A Comprehensive Review
Muhammad Usama Islam, Md Mozaharul Mottalib, Mehedi Hassan, et al.
Studies in computational intelligence (2022), pp. 1-29
Closed Access | Times Cited: 19
Transforming credit risk assessment: A systematic review of AI and machine learning applications
Jewel Kumar Roy, László Vasa
Journal of Infrastructure Policy and Development (2025) Vol. 9, Iss. 1, pp. 9652-9652
Open Access
Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective
Yoichi Hayashi
Operations Research Perspectives (2016) Vol. 3, pp. 32-42
Open Access | Times Cited: 38
Incorporating multilevel macroeconomic variables into credit scoring for online consumer lending
Yufei Xia, Yinguo Li, Lingyun He, et al.
Electronic Commerce Research and Applications (2021) Vol. 49, pp. 101095-101095
Closed Access | Times Cited: 25
Predicting and interpreting financial distress using a weighted boosted tree-based tree
Wanan Liu, Hong Fan, Min Xia, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105466-105466
Closed Access | Times Cited: 17
A credit scoring model based on the Myers–Briggs type indicator in online peer-to-peer lending
Hyunwoo Woo, So Young Sohn
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 16
Evaluation of traditional and machine learning approaches for modeling volatile fatty acid concentrations in anaerobic digestion of sludge: potential and challenges
Umar Alfa Abubakar, Gul Sanga Lemar, Al−Amin Danladi Bello, et al.
Environmental Science and Pollution Research (2024)
Open Access | Times Cited: 3

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