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:

Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective
Eoin M. Kenny, Eoin Delaney, Derek Greene, et al.
Lecture notes in computer science (2021), pp. 20-34
Closed Access | Times Cited: 15

Showing 15 citing articles:

Sentiment Analysis of Customer Reviews of Food Delivery Services Using Deep Learning and Explainable Artificial Intelligence: Systematic Review
Anirban Adak, Biswajeet Pradhan, Nagesh Shukla
Foods (2022) Vol. 11, Iss. 10, pp. 1500-1500
Open Access | Times Cited: 82

Classification of Explainable Artificial Intelligence Methods through Their Output Formats
Giulia Vilone, Luca Longo
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 3, pp. 615-661
Open Access | Times Cited: 98

Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
Lecture notes in computer science (2021), pp. 32-47
Closed Access | Times Cited: 71

Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
Warren Freeborough, Terence L. van Zyl
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1427-1427
Open Access | Times Cited: 39

Categorical and Continuous Features in Counterfactual Explanations of AI Systems
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
(2023)
Open Access | Times Cited: 19

Designing Digital Voting Systems for Citizens: Achieving Fairness and Legitimacy in Participatory Budgeting
Joshua C. Yang, Carina Ines Hausladen, Dominik Peters, et al.
Digital Government Research and Practice (2024) Vol. 5, Iss. 3, pp. 1-30
Open Access | Times Cited: 3

Pattern Recognition. ICPR International Workshops and Challenges
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, et al.
Lecture notes in computer science (2021)
Closed Access | Times Cited: 21

Categorical and Continuous Features in Counterfactual Explanations of AI Systems
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
ACM Transactions on Interactive Intelligent Systems (2024)
Open Access | Times Cited: 1

Current status, application, and challenges of the interpretability of generative adversarial network models
Su-Lin Wang, Chengqiang Zhao, Lingling Huang, et al.
Computational Intelligence (2022) Vol. 39, Iss. 2, pp. 283-314
Closed Access | Times Cited: 6

Impact of Feedback Type on Explanatory Interactive Learning
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Lecture notes in computer science (2022), pp. 127-137
Closed Access | Times Cited: 5

Investigating the Quality of Explainable Artificial Intelligence: A Survey on Various Techniques of Post hoc
Tasleem Nizam, Sherin Zafar, Siddhartha Sankar Biswas, et al.
Lecture notes in networks and systems (2024), pp. 147-163
Closed Access

A Comprehensive Study on Explainable AI Using YOLO and Post Hoc Method on Medical Diagnosis
P Borah, Dhruva Kashyap, Ruhini Aktar Laskar, et al.
Journal of Physics Conference Series (2024) Vol. 2919, Iss. 1, pp. 012045-012045
Open Access

Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor Data
Bahavathy Kathirgamanathan, Nguyễn Thu Trang, Brian Caulfield, et al.
Communications in computer and information science (2024), pp. 87-103
Closed Access

Exploring Mental Models for Explainable Artificial Intelligence: Engaging Cross-disciplinary Teams Using a Design Thinking Approach
Helen Sheridan, Emma Murphy, Dympna O’Sullivan
Lecture notes in computer science (2023), pp. 337-354
Closed Access | Times Cited: 1

Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1

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