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:
What Are People Doing About XAI User Experience? A Survey on AI Explainability Research and Practice
Juliana Jansen Ferreira, Mateus de Souza Monteiro
Lecture notes in computer science (2020), pp. 56-73
Closed Access | Times Cited: 58
Juliana Jansen Ferreira, Mateus de Souza Monteiro
Lecture notes in computer science (2020), pp. 56-73
Closed Access | Times Cited: 58
Showing 1-25 of 58 citing articles:
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
Gesina Schwalbe, Bettina Finzel
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 3043-3101
Open Access | Times Cited: 136
Gesina Schwalbe, Bettina Finzel
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 3043-3101
Open Access | Times Cited: 136
A Survey of Explainable Artificial Intelligence for Smart Cities
Abdul Rehman Javed, Waqas Ahmed, Sharnil Pandya, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 1020-1020
Open Access | Times Cited: 109
Abdul Rehman Javed, Waqas Ahmed, Sharnil Pandya, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 1020-1020
Open Access | Times Cited: 109
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62
Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
Phoebe Lin, Jessica Van Brummelen
(2021), pp. 1-12
Open Access | Times Cited: 98
Phoebe Lin, Jessica Van Brummelen
(2021), pp. 1-12
Open Access | Times Cited: 98
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin Nam, et al.
(2021), pp. 1-16
Open Access | Times Cited: 84
Harini Suresh, Steven R. Gomez, Kevin Nam, et al.
(2021), pp. 1-16
Open Access | Times Cited: 84
A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning
Tharindu Kaluarachchi, Andrew Reis, Suranga Nanayakkara
Sensors (2021) Vol. 21, Iss. 7, pp. 2514-2514
Open Access | Times Cited: 77
Tharindu Kaluarachchi, Andrew Reis, Suranga Nanayakkara
Sensors (2021) Vol. 21, Iss. 7, pp. 2514-2514
Open Access | Times Cited: 77
Human-XAI Interaction: A Review and Design Principles for Explanation User Interfaces
Michael Chromik, Andreas Butz
Lecture notes in computer science (2021), pp. 619-640
Closed Access | Times Cited: 62
Michael Chromik, Andreas Butz
Lecture notes in computer science (2021), pp. 619-640
Closed Access | Times Cited: 62
Does AI explainability affect physicians’ intention to use AI?
Chung-Feng Liu, Zhih‐Cherng Chen, Szu-Chen Kuo, et al.
International Journal of Medical Informatics (2022) Vol. 168, pp. 104884-104884
Closed Access | Times Cited: 46
Chung-Feng Liu, Zhih‐Cherng Chen, Szu-Chen Kuo, et al.
International Journal of Medical Informatics (2022) Vol. 168, pp. 104884-104884
Closed Access | Times Cited: 46
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
Qianwen Wang, Kexin Huang, Payal Chandak, et al.
IEEE Transactions on Visualization and Computer Graphics (2022) Vol. 29, Iss. 1, pp. 1266-1276
Open Access | Times Cited: 42
Qianwen Wang, Kexin Huang, Payal Chandak, et al.
IEEE Transactions on Visualization and Computer Graphics (2022) Vol. 29, Iss. 1, pp. 1266-1276
Open Access | Times Cited: 42
Explainable Convolutional Neural Networks: A Taxonomy, Review, and Future Directions
Rami Ibrahim, M. Omair Shafiq
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-37
Open Access | Times Cited: 39
Rami Ibrahim, M. Omair Shafiq
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-37
Open Access | Times Cited: 39
Ironies of artificial intelligence
Mica R. Endsley
Ergonomics (2023) Vol. 66, Iss. 11, pp. 1656-1668
Closed Access | Times Cited: 38
Mica R. Endsley
Ergonomics (2023) Vol. 66, Iss. 11, pp. 1656-1668
Closed Access | Times Cited: 38
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
Julia Brasse, Hanna Rebecca Broder, Maximilian Förster, et al.
Electronic Markets (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 36
Julia Brasse, Hanna Rebecca Broder, Maximilian Förster, et al.
Electronic Markets (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 36
Explainable Activity Recognition for Smart Home Systems
Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, et al.
ACM Transactions on Interactive Intelligent Systems (2023) Vol. 13, Iss. 2, pp. 1-39
Open Access | Times Cited: 27
Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, et al.
ACM Transactions on Interactive Intelligent Systems (2023) Vol. 13, Iss. 2, pp. 1-39
Open Access | Times Cited: 27
Introduction to Explainable AI (XAI) in E-Commerce
Meenu Chaudhary, Loveleen Gaur, Gurinder Singh, et al.
Studies in computational intelligence (2024), pp. 1-15
Closed Access | Times Cited: 9
Meenu Chaudhary, Loveleen Gaur, Gurinder Singh, et al.
Studies in computational intelligence (2024), pp. 1-15
Closed Access | Times Cited: 9
On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations
Astrid Bertrand, Tiphaine Viard, Rafik Belloum, et al.
(2023), pp. 1-21
Closed Access | Times Cited: 18
Astrid Bertrand, Tiphaine Viard, Rafik Belloum, et al.
(2023), pp. 1-21
Closed Access | Times Cited: 18
Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs
Jakob Droste, Hannah Deters, Martin Obaidi, et al.
(2024), pp. 55-66
Open Access | Times Cited: 5
Jakob Droste, Hannah Deters, Martin Obaidi, et al.
(2024), pp. 55-66
Open Access | Times Cited: 5
The role of IoT and XAI convergence in the prediction, explanation, and decision of customer perceived value (CPV) in SMEs: a theoretical framework and research proposition perspective
Kwabena Abrokwah-Larbi
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Kwabena Abrokwah-Larbi
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Will Health Experts Adopt a Clinical Decision Support System for Game-Based Digital Biomarkers? Investigating the Impact of Different Explanations on Perceived Ease-of-Use, Perceived Usefulness, and Trust
Yu Chen, Katrien Verbert, Kathrin Gerling, et al.
(2025), pp. 1581-1597
Closed Access
Yu Chen, Katrien Verbert, Kathrin Gerling, et al.
(2025), pp. 1581-1597
Closed Access
Framing what can be explained - an operational taxonomy for explainability needs
Jakob Droste, Hannah Deters, Martin Obaidi, et al.
Requirements Engineering (2025)
Open Access
Jakob Droste, Hannah Deters, Martin Obaidi, et al.
Requirements Engineering (2025)
Open Access
Enhancing User Experience in Artificial Intelligence Systems: A Practical Approach
Alexander Zender, Bernhard G. Humm, Anna Holzheuser
Lecture notes in business information processing (2025), pp. 113-131
Closed Access
Alexander Zender, Bernhard G. Humm, Anna Holzheuser
Lecture notes in business information processing (2025), pp. 113-131
Closed Access
FATE in AI: Towards Algorithmic Inclusivity and Accessibility
Isa Inuwa-Dutse
(2023), pp. 1-14
Open Access | Times Cited: 11
Isa Inuwa-Dutse
(2023), pp. 1-14
Open Access | Times Cited: 11
How Do ML Students Explain Their Models and What Can We Learn from This?
Ulrik Franke
Lecture notes in business information processing (2025), pp. 351-365
Closed Access
Ulrik Franke
Lecture notes in business information processing (2025), pp. 351-365
Closed Access
Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods
Tristan Gomez, Thomas Fréour, Harold Mouchère
Lecture notes in computer science (2022), pp. 84-95
Closed Access | Times Cited: 17
Tristan Gomez, Thomas Fréour, Harold Mouchère
Lecture notes in computer science (2022), pp. 84-95
Closed Access | Times Cited: 17
User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning
Luis Oberste, Armin Heinzl
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 4, pp. 840-857
Closed Access | Times Cited: 16
Luis Oberste, Armin Heinzl
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 4, pp. 840-857
Closed Access | Times Cited: 16
Exploring the effects of human-centered AI explanations on trust and reliance
Nicolas Scharowski, Sebastian A. C. Perrig, Melanie Svab, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 9
Nicolas Scharowski, Sebastian A. C. Perrig, Melanie Svab, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 9
