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:
Explainable AI Methods - A Brief Overview
Andreas Holzinger, Anna Saranti, Christoph Molnar, et al.
Lecture notes in computer science (2022), pp. 13-38
Open Access | Times Cited: 232
Andreas Holzinger, Anna Saranti, Christoph Molnar, et al.
Lecture notes in computer science (2022), pp. 13-38
Open Access | Times Cited: 232
Showing 51-75 of 232 citing articles:
Comprehensive analysis of multiple classifiers for enhanced river water quality monitoring with explainable AI
S. Ramya, S Srinath, Pushpa Tuppad
Case Studies in Chemical and Environmental Engineering (2024) Vol. 10, pp. 100822-100822
Open Access | Times Cited: 4
S. Ramya, S Srinath, Pushpa Tuppad
Case Studies in Chemical and Environmental Engineering (2024) Vol. 10, pp. 100822-100822
Open Access | Times Cited: 4
Robust Ensemble Learning Models for Predicting Hydrogen Sulfide Solubility in Brine
Mohamed Riad Youcefi, Wei Wei, Fahd Mohamad Alqahtani, et al.
Energy & Fuels (2024) Vol. 38, Iss. 21, pp. 21174-21188
Closed Access | Times Cited: 4
Mohamed Riad Youcefi, Wei Wei, Fahd Mohamad Alqahtani, et al.
Energy & Fuels (2024) Vol. 38, Iss. 21, pp. 21174-21188
Closed Access | Times Cited: 4
AI and Political Polarization
Anuttama Ghose, Pallav Pallav, S. Mahmud Ali
Advances in finance, accounting, and economics book series (2025), pp. 135-160
Closed Access
Anuttama Ghose, Pallav Pallav, S. Mahmud Ali
Advances in finance, accounting, and economics book series (2025), pp. 135-160
Closed Access
Exploring Autonomous Vehicle Technology: Advancements, Challenges, and the Critical Role of Simulation
Leila Haj Meftah, Asma Cherif
(2025)
Closed Access
Leila Haj Meftah, Asma Cherif
(2025)
Closed Access
Explainable Graph Spectral Clustering of text documents
Bartłomiej Starosta, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313238-e0313238
Open Access
Bartłomiej Starosta, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313238-e0313238
Open Access
Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data
Tim Radke, Susanne Fuchs, Christian Wilms, et al.
Geoscientific model development (2025) Vol. 18, Iss. 4, pp. 1017-1039
Open Access
Tim Radke, Susanne Fuchs, Christian Wilms, et al.
Geoscientific model development (2025) Vol. 18, Iss. 4, pp. 1017-1039
Open Access
Deeppatchnet: A Deep Learning Model for Enhanced Screening and Diagnosis of Oral Cancer
Idriss Tafala, fatima-ezzahraa ben-bouazza, Aymane Edder, et al.
(2025)
Closed Access
Idriss Tafala, fatima-ezzahraa ben-bouazza, Aymane Edder, et al.
(2025)
Closed Access
Path-Weight-Based Pruning and SHAP-Based Explanations of an ANN with fMRI Data
José Diogo Marques dos Santos, José Paulo Marques dos Santos
Lecture notes in computer science (2025), pp. 72-86
Closed Access
José Diogo Marques dos Santos, José Paulo Marques dos Santos
Lecture notes in computer science (2025), pp. 72-86
Closed Access
Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study
Benedikt Langenberger, Daniel Schrednitzki, Andreas M. Halder, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Benedikt Langenberger, Daniel Schrednitzki, Andreas M. Halder, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Breast cancer prediction based on gene expression data using interpretable machine learning techniques
Gabriel Kallah-Dagadu, Mohanad Mohammed, Justine B. Nasejje, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Gabriel Kallah-Dagadu, Mohanad Mohammed, Justine B. Nasejje, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Do explainable AI (XAI ) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading
Robin Manz, Jonas Bäcker, Samantha Cramer, et al.
The Journal of Pathology Clinical Research (2025) Vol. 11, Iss. 2
Open Access
Robin Manz, Jonas Bäcker, Samantha Cramer, et al.
The Journal of Pathology Clinical Research (2025) Vol. 11, Iss. 2
Open Access
A Theory of Fine-Grained Lineage for Functions on Structured Objects
Sylvain Hallé, Hugo Tremblay
Theoretical Computer Science (2025), pp. 115192-115192
Open Access
Sylvain Hallé, Hugo Tremblay
Theoretical Computer Science (2025), pp. 115192-115192
Open Access
Challenges and Future Perspectives for AI in Hepatology: Breaking Barriers for Better Care
Victoria Kusztos, Douglas A. Simonetto
Journal of Clinical and Experimental Hepatology (2025), pp. 102579-102579
Closed Access
Victoria Kusztos, Douglas A. Simonetto
Journal of Clinical and Experimental Hepatology (2025), pp. 102579-102579
Closed Access
The Last Mile in Remote Sensing Poverty Prediction
Woo-Jin Jung, Arunesh Sinha, Andrew Kim, et al.
ACM Journal on Computing and Sustainable Societies (2025)
Closed Access
Woo-Jin Jung, Arunesh Sinha, Andrew Kim, et al.
ACM Journal on Computing and Sustainable Societies (2025)
Closed Access
Placing Practice and Expertise at the Center of Explainable AI: A Participatory Design Approach to Explainable AI for Enterprise Information Architects
Lufan Zhang, Paul Scifleet
(2025), pp. 1-8
Closed Access
Lufan Zhang, Paul Scifleet
(2025), pp. 1-8
Closed Access
LXR: Learning to eXplain Recommendations
Liya Gurevitch, Veronika Bogina, Oren Barkan, et al.
ACM Transactions on Recommender Systems (2025)
Closed Access
Liya Gurevitch, Veronika Bogina, Oren Barkan, et al.
ACM Transactions on Recommender Systems (2025)
Closed Access
Reimagining Compliance
Hrishikesh Desai
Advances in computational intelligence and robotics book series (2025), pp. 259-284
Closed Access
Hrishikesh Desai
Advances in computational intelligence and robotics book series (2025), pp. 259-284
Closed Access
RuleXAI—A package for rule-based explanations of machine learning model
Dawid Macha, Michał Kozielski, Łukasz Wróbel, et al.
SoftwareX (2022) Vol. 20, pp. 101209-101209
Open Access | Times Cited: 17
Dawid Macha, Michał Kozielski, Łukasz Wróbel, et al.
SoftwareX (2022) Vol. 20, pp. 101209-101209
Open Access | Times Cited: 17
Towards facing uncertainties in biofuel supply chain networks: a systematic literature review
Farhad Habibi, Ripon K. Chakrabortty, Alireza Abbasi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 45, pp. 100360-100390
Open Access | Times Cited: 10
Farhad Habibi, Ripon K. Chakrabortty, Alireza Abbasi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 45, pp. 100360-100390
Open Access | Times Cited: 10
Natural Example-Based Explainability: A Survey
Antonin Poché, Lucas Hervier, Mohamed-Chafik Bakkay
Communications in computer and information science (2023), pp. 24-47
Closed Access | Times Cited: 10
Antonin Poché, Lucas Hervier, Mohamed-Chafik Bakkay
Communications in computer and information science (2023), pp. 24-47
Closed Access | Times Cited: 10
Towards AI forensics: Did the artificial intelligence system do it?
Johannes Schneider, Frank Breitinger
Journal of Information Security and Applications (2023) Vol. 76, pp. 103517-103517
Open Access | Times Cited: 9
Johannes Schneider, Frank Breitinger
Journal of Information Security and Applications (2023) Vol. 76, pp. 103517-103517
Open Access | Times Cited: 9
Tell me a story: a framework for critically investigating AI language models
Luke Munn, Leah Henrickson
Learning Media and Technology (2024), pp. 1-17
Open Access | Times Cited: 3
Luke Munn, Leah Henrickson
Learning Media and Technology (2024), pp. 1-17
Open Access | Times Cited: 3
Adaptation of Federated Explainable Artificial Intelligence for Efficient and Secure E-Healthcare Systems
Rabia Abid, Muhammad Rizwan, Abdulatif Alabdulatif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3413-3429
Open Access | Times Cited: 3
Rabia Abid, Muhammad Rizwan, Abdulatif Alabdulatif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3413-3429
Open Access | Times Cited: 3
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence
Recep Özalp, Ayşegül Uçar, Cüneyt Güzelіș
IEEE Access (2024) Vol. 12, pp. 51840-51858
Open Access | Times Cited: 3
Recep Özalp, Ayşegül Uçar, Cüneyt Güzelіș
IEEE Access (2024) Vol. 12, pp. 51840-51858
Open Access | Times Cited: 3
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Health and Technology (2024) Vol. 14, Iss. 2, pp. 201-237
Closed Access | Times Cited: 3
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Health and Technology (2024) Vol. 14, Iss. 2, pp. 201-237
Closed Access | Times Cited: 3
