Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk
Alex Gramegna, Paolo Giudici
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

Explainable machine learning in materials science
Xiaoting Zhong, Brian Gallagher, Shusen Liu, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 156
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images
Naresh Kumar, Manoj Sharma, Vijay P. Singh, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103596-103596
Closed Access | Times Cited: 92
Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing
Kevin Bauer, Moritz von Zahn, Oliver Hinz
Information Systems Research (2023) Vol. 34, Iss. 4, pp. 1582-1602
Open Access | Times Cited: 82
Interpretable machine learning for imbalanced credit scoring datasets
Yujia Chen, Raffaella Calabrese, Belén Martín-Barragán
European Journal of Operational Research (2023) Vol. 312, Iss. 1, pp. 357-372
Open Access | Times Cited: 68
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 60
Applied machine learning as a driver for polymeric biomaterials design
Samantha M. McDonald, Emily K. Augustine, Quinn Lanners, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 58
Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0281922-e0281922
Open Access | Times Cited: 54
Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT
Teo Sušnjak
International Journal of Artificial Intelligence in Education (2023) Vol. 34, Iss. 2, pp. 452-482
Open Access | Times Cited: 43
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 38
Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 25
Reliable water quality prediction and parametric analysis using explainable AI models
M. K. Nallakaruppan, E. Gangadevi, M. Lawanya Shri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Explaining Intrusion Detection-Based Convolutional Neural Networks Using Shapley Additive Explanations (SHAP)
Remah Younisse, Ashraf Ahmad, Qasem Abu Al‐Haija
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 4, pp. 126-126
Open Access | Times Cited: 41
The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China
Benyan Tan, Ziqi Gan, Wu Yan
Expert Systems with Applications (2023) Vol. 227, pp. 120375-120375
Open Access | Times Cited: 24
Explanation matters: An experimental study on explainable AI
Pascal Hamm, Michael Klesel, Patricia Coberger, et al.
Electronic Markets (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 24
Machine learning in marketing: Recent progress and future research directions
Dennis Herhausen, Stefan F. Bernritter, Eric W.T. Ngai, et al.
Journal of Business Research (2023) Vol. 170, pp. 114254-114254
Closed Access | Times Cited: 24
SignExplainer: An Explainable AI-Enabled Framework for Sign Language Recognition With Ensemble Learning
Deep Kothadiya, Chintan Bhatt, Amjad Rehman, et al.
IEEE Access (2023) Vol. 11, pp. 47410-47419
Open Access | Times Cited: 23
An Explainable AI framework for credit evaluation and analysis
M. K. Nallakaruppan, Balamurugan Balusamy, M. Lawanya Shri, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111307-111307
Closed Access | Times Cited: 16
Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models
Victor Chang, Karl Hall, Qianwen Xu, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 231-231
Open Access | Times Cited: 9
Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer
Ayan Chatterjee, Michael A. Riegler, K Ganesh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Using Machine Learning Methods to Forecast Air Quality: A Case Study in Macao
Thomas M. T. Lei, Shirley W. I. Siu, Joana Monjardino, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1412-1412
Open Access | Times Cited: 38
An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer
Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
International Journal of Medical Informatics (2022) Vol. 168, pp. 104896-104896
Open Access | Times Cited: 38
Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence
Jurgita Černevičienė, Audrius Kabašinskas
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 37
Machine learning-based predictions of fatigue life for multi-principal element alloys
Nichenametla Jai Sai, Punit Rathore, Ankur Chauhan
Scripta Materialia (2022) Vol. 226, pp. 115214-115214
Closed Access | Times Cited: 37
Explainable AI for Credit Assessment in Banks
Petter Eilif de Lange, Borger Melsom, Christian Bakke Vennerød, et al.
Journal of risk and financial management (2022) Vol. 15, Iss. 12, pp. 556-556
Open Access | Times Cited: 36
Credit Risk Assessment and Financial Decision Support Using Explainable Artificial Intelligence
M. K. Nallakaruppan, Himakshi Chaturvedi, Veena Grover, et al.
Risks (2024) Vol. 12, Iss. 10, pp. 164-164
Open Access | Times Cited: 8
Page 1 - Next Page

Scroll to top