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:

Four principles of explainable artificial intelligence
P. Jonathon Phillips, Carina A. Hahn, Peter Fontana, et al.
(2021)
Open Access | Times Cited: 117

Showing 26-50 of 117 citing articles:

Explainable Artificial Intelligence (XAI): A Perspective
Mohuya Chakraborty
Lecture notes in networks and systems (2025), pp. 47-63
Closed Access

Harmonizing regulatory regimes for the governance of patient-generated health data
Jenifer Sunrise Winter, Elizabeth Davidson
Telecommunications Policy (2021) Vol. 46, Iss. 5, pp. 102285-102285
Open Access | Times Cited: 28

Quality Models for Artificial Intelligence Systems: Characteristic-Based Approach, Development and Application
Vyacheslav Kharchenko, Herman Fesenko, Oleg Illiashenko
Sensors (2022) Vol. 22, Iss. 13, pp. 4865-4865
Open Access | Times Cited: 21

Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
Maciej Bobowicz, Marlena Rygusik, Jakub Buler, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2704-2704
Open Access | Times Cited: 11

Applications of Neural Network-Based AI in Cryptography
Abderrahmane Nitaj, Tajjeeddine Rachidi
Cryptography (2023) Vol. 7, Iss. 3, pp. 39-39
Open Access | Times Cited: 11

Learning Concise and Descriptive Attributes for Visual Recognition
An Yan, Yu Wang, Yiwu Zhong, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 3067-3077
Open Access | Times Cited: 10

Ethical and Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences
Shelley Stall, Guido Cervone, Caroline Coward, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 9

Positioning Paradata: A Conceptual Frame for AI Processual Documentation in Archives and Recordkeeping Contexts
Scott Cameron, Patricia C. Franks, Babak Hamidzadeh
Journal on Computing and Cultural Heritage (2023) Vol. 16, Iss. 4, pp. 1-19
Closed Access | Times Cited: 9

Healthcare Artificial Intelligence in India and Ethical Aspects
Avik Sarkar, Poorva Singh, Mayuri Varkey
(2024), pp. 107-150
Closed Access | Times Cited: 3

Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices
Pavlo Radiuk, Olexander Barmak, Eduard Manziuk, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1024-1024
Open Access | Times Cited: 3

Marine mucilage mapping with explained deep learning model using water-related spectral indices: a case study of Dardanelles Strait, Turkey
Elif Özlem Yılmaz, Hasan Tonbul, Taşkın Kavzoǧlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 1, pp. 51-68
Closed Access | Times Cited: 8

Multisource AI Scorecard Table for System Evaluation
Erik Blasch, James Sung, Tao Nguyen
arXiv (Cornell University) (2021)
Open Access | Times Cited: 19

Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology
Daniel Sauter, Georg Lodde, Felix Nensa, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5346-5346
Open Access | Times Cited: 12

Explainable AI Using the Wasserstein Distance
Shion Samadder Chaudhury, Payel Sadhukhan, Kausik Sengupta
IEEE Access (2024) Vol. 12, pp. 18087-18102
Open Access | Times Cited: 2

A Framework for Cybersecurity in the Metaverse
Mohammad Alauthman, Abdelraouf Ishtaiwi, Ali Maqousi, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 2

Machine learning in industrial X-ray computed tomography – a review
Simon Bellens, Patricio Guerrero, Patrick Vandewalle, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 51, pp. 324-341
Closed Access | Times Cited: 2

Mapping the landscape of ethical considerations in explainable AI research
Luca Nannini, Marta Marchiori Manerba, Isacco Beretta
Ethics and Information Technology (2024) Vol. 26, Iss. 3
Open Access | Times Cited: 2

EXISTENTIAL RISK FROM TRANSFORMATIVE AI: AN ECONOMIC PERSPECTIVE
Jakub Growiec
Technological and Economic Development of Economy (2024) Vol. 30, Iss. 6, pp. 1682-1708
Open Access | Times Cited: 2

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
Gabriel Lepetit-Aimon, Clément Playout, Marie Carole Boucher, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

GEAR: A General Inference Engine for Automated MultiStrategy Reasoning
Stefano Ferilli
Electronics (2023) Vol. 12, Iss. 2, pp. 256-256
Open Access | Times Cited: 6

Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability
Jorge S. S. Júnior, Jérôme Mendes, Francisco Souza, et al.
International Journal of Fuzzy Systems (2023) Vol. 25, Iss. 7, pp. 2568-2589
Open Access | Times Cited: 6

A United States Fair Lending Perspective on Machine Learning
Patrick Hall, Benjamin Cox, Steven Dickerson, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 15

HistoTrust: tracing AI behavior with secure hardware and blockchain technology
Dylan Paulin, Raphaël Joud, Christine Hennebert, et al.
Annals of Telecommunications (2023) Vol. 78, Iss. 7-8, pp. 413-427
Open Access | Times Cited: 5

Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review
Uldis Doniņš, Daiga Behmane
Smart innovation, systems and technologies (2023), pp. 53-62
Closed Access | Times Cited: 5

Базова модель нефункційних характеристик для оцінки якості штучного інтелекту
Vyacheslav Kharchenko, Herman Fesenko, Oleg Illiashenko
RADIOELECTRONIC AND COMPUTER SYSTEMS (2022), Iss. 2, pp. 131-144
Open Access | Times Cited: 9

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