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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:

Counterfactual Shapley Additive Explanations
Emanuele Albini, Jason Long, Danial Dervovic, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1054-1070
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Decision trees: from efficient prediction to responsible AI
Hendrik Blockeel, Laurens Devos, Benoît Frénay‬, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 49
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma, Varich Boonsanong, Minh Hoang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-42
Open Access | Times Cited: 34
Applicability of machine learning techniques to analyze Microplastic transportation in open channels with different hydro-environmental factors
Amad-ud-din Fazil, Pattiyage I. A. Gomes, Kelum Sandamal
Environmental Pollution (2024) Vol. 357, pp. 124389-124389
Closed Access | Times Cited: 7
Manifold-Based Shapley for SAR Recognization Network Explanation
Xuran Hu, Mingzhe Zhu, Yuanjing Liu, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 35, pp. 6920-6924
Closed Access | Times Cited: 5
CC-HIT: Creating Counterfactuals from High-Impact Transitions
Zhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, et al.
Lecture notes in business information processing (2025), pp. 267-278
Open Access
Cervical Cancer Diagnosis Using Stacked Ensemble Model and Optimized Feature Selection: An Explainable Artificial Intelligence Approach
Abdulaziz AlMohimeed, Hager Saleh, Sherif Mostafa, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 200-200
Open Access | Times Cited: 11
Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit
Betül Bayrak, Kerstin Bach
IEEE Access (2024) Vol. 12, pp. 137683-137695
Open Access | Times Cited: 4
Bayesian‐optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers
Wenyi Jin, Junwen Chen, Zhongyi Li, et al.
Journal of Cellular and Molecular Medicine (2025) Vol. 29, Iss. 2
Open Access
XAI Reveals the Causes of Attention Deficit Hyperactivity Disorder (ADHD) Bias in Student Performance Prediction
HaeJin Lee, Clara Belitz, Nidhi Nasiar, et al.
(2025), pp. 418-428
Closed Access
A review of the transition from Shapley values and SHAP values to RGE
Lunshuai Wu
Statistics (2025), pp. 1-23
Closed Access
Manifold-based Shapley explanations for high dimensional correlated features
Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, et al.
Neural Networks (2024) Vol. 180, pp. 106634-106634
Closed Access | Times Cited: 3
Evaluation Metrics for XAI: A Review, Taxonomy, and Practical Applications
Md Abdul Kadir, Amir Mosavi, Daniel Sonntag
(2023), pp. 000111-000124
Closed Access | Times Cited: 7
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
Ta-Wei Huang, Eva Ascarza, Ayelet Israeli
(2024)
Closed Access | Times Cited: 2
InstanceSHAP: an instance-based estimation approach for Shapley values
Golnoosh Babaei, Paolo Giudici
Behaviormetrika (2023) Vol. 51, Iss. 1, pp. 425-439
Open Access | Times Cited: 6
Explainable Approaches for Forecasting Building Electricity Consumption
Nikos Sakkas, Sofia Yfanti, Pooja Shah, et al.
Energies (2023) Vol. 16, Iss. 20, pp. 7210-7210
Open Access | Times Cited: 4
Multi-agent Cooperative Intrusion Detection Based on Generative Data Augmentation
Ming Liu, Yungang Jia, Chao Li, et al.
Lecture notes in computer science (2024), pp. 311-328
Closed Access | Times Cited: 1
Leveraging Explainable AI for Actionable Insights in IoT Intrusion Detection
Sohan Gyawali, Jiaqi Huang, Yili Jiang
(2024), pp. 92-97
Closed Access | Times Cited: 1
Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach
Ishaya Gambo, Rhodes Massenon, Chia‐Chen Lin, et al.
IEEE Access (2024) Vol. 12, pp. 114023-114045
Open Access | Times Cited: 1
Generally-Occurring Model Change for Robust Counterfactual Explanations
Ao Xu, Tieru Wu
Lecture notes in computer science (2024), pp. 215-229
Closed Access | Times Cited: 1
Explainable AI: Foundations, Applications, Opportunities for Data Management Research
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2022), pp. 3209-3212
Closed Access | Times Cited: 7
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini, Shubham Sharma, Saumitra Mishra, et al.
(2023), pp. 411-431
Open Access | Times Cited: 3
A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning
Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 279-289
Open Access
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees
Faisal Hamman, Erfaun Noorani, Saumitra Mishra, et al.
IEEE Journal on Selected Areas in Information Theory (2024) Vol. 5, pp. 357-368
Closed Access
Drawing Attributions From Evolved Counterfactuals
Ján Jakubík, Halina Kwaśnicka
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1582-1589
Closed Access
YOLOv7‐XAI: Multi‐Class Skin Lesion Diagnosis Using Explainable AI With Fair Decision Making
Nirmala Veeramani, Premaladha Jayaraman
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 6
Closed Access
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