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:
The Next Frontier: AI We Can Really Trust
Andreas Holzinger
Communications in computer and information science (2021), pp. 427-440
Closed Access | Times Cited: 79
Andreas Holzinger
Communications in computer and information science (2021), pp. 427-440
Closed Access | Times Cited: 79
Showing 1-25 of 79 citing articles:
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Tara Capel, Margot Brereton
(2023), pp. 1-23
Open Access | Times Cited: 63
Tara Capel, Margot Brereton
(2023), pp. 1-23
Open Access | Times Cited: 63
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 45
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 45
Explainability and causability in digital pathology
Markus Plass, Michaela Kargl, Tim‐Rasmus Kiehl, et al.
The Journal of Pathology Clinical Research (2023) Vol. 9, Iss. 4, pp. 251-260
Open Access | Times Cited: 41
Markus Plass, Michaela Kargl, Tim‐Rasmus Kiehl, et al.
The Journal of Pathology Clinical Research (2023) Vol. 9, Iss. 4, pp. 251-260
Open Access | Times Cited: 41
Human-Centered AI in smart farming: Towards Agriculture 5.0
Andreas Holzinger, Iztok Fister, Iztok Fister, et al.
IEEE Access (2024) Vol. 12, pp. 62199-62214
Open Access | Times Cited: 29
Andreas Holzinger, Iztok Fister, Iztok Fister, et al.
IEEE Access (2024) Vol. 12, pp. 62199-62214
Open Access | Times Cited: 29
The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations
Ugo Pagallo, Shane O’Sullivan, Nathalie Nevejans, et al.
Health and Technology (2023) Vol. 14, Iss. 1, pp. 1-14
Open Access | Times Cited: 29
Ugo Pagallo, Shane O’Sullivan, Nathalie Nevejans, et al.
Health and Technology (2023) Vol. 14, Iss. 1, pp. 1-14
Open Access | Times Cited: 29
Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Yu-Cheng Wang, Toly Chen
Expert Systems with Applications (2023) Vol. 237, pp. 121369-121369
Closed Access | Times Cited: 25
Yu-Cheng Wang, Toly Chen
Expert Systems with Applications (2023) Vol. 237, pp. 121369-121369
Closed Access | Times Cited: 25
From Industry 5.0 to Forestry 5.0: Bridging the gap with Human-Centered Artificial Intelligence
Andreas Holzinger, Janine Schweier, Christoph Gollob, et al.
Current Forestry Reports (2024) Vol. 10, Iss. 6, pp. 442-455
Open Access | Times Cited: 10
Andreas Holzinger, Janine Schweier, Christoph Gollob, et al.
Current Forestry Reports (2024) Vol. 10, Iss. 6, pp. 442-455
Open Access | Times Cited: 10
Combining theoretical modelling and machine learning approaches: The case of teamwork effects on individual effort expenditure
Simon Eisbach, Oliver Mai, Guido Hertel
New Ideas in Psychology (2024) Vol. 73, pp. 101077-101077
Open Access | Times Cited: 8
Simon Eisbach, Oliver Mai, Guido Hertel
New Ideas in Psychology (2024) Vol. 73, pp. 101077-101077
Open Access | Times Cited: 8
An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning
Muhammad Muzammil Azad, Heung Soo Kim
Polymer Composites (2024)
Open Access | Times Cited: 8
Muhammad Muzammil Azad, Heung Soo Kim
Polymer Composites (2024)
Open Access | Times Cited: 8
A new xAI framework with feature explainability for tumors decision-making in Ultrasound data: comparing with Grad-CAM
Di Song, Jincao Yao, Yitao Jiang, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107527-107527
Closed Access | Times Cited: 21
Di Song, Jincao Yao, Yitao Jiang, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107527-107527
Closed Access | Times Cited: 21
An Explainable AI Approach for Breast Cancer Metastasis Prediction Based on Clinicopathological Data
Ikram Maouche, Labib Sadek Terrissa, K. Benmohammed, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 12, pp. 3321-3329
Closed Access | Times Cited: 20
Ikram Maouche, Labib Sadek Terrissa, K. Benmohammed, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 12, pp. 3321-3329
Closed Access | Times Cited: 20
Peripheral blood mononuclear cell derived biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of breast cancer
Sunil Kumar, Asmita Das
Computational Biology and Chemistry (2023) Vol. 104, pp. 107867-107867
Closed Access | Times Cited: 18
Sunil Kumar, Asmita Das
Computational Biology and Chemistry (2023) Vol. 104, pp. 107867-107867
Closed Access | Times Cited: 18
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems?
Peter Kieseberg, Edgar Weippl, A Min Tjoa, et al.
Lecture notes in computer science (2023), pp. 1-12
Open Access | Times Cited: 18
Peter Kieseberg, Edgar Weippl, A Min Tjoa, et al.
Lecture notes in computer science (2023), pp. 1-12
Open Access | Times Cited: 18
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning
Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, et al.
Lecture notes in computer science (2023), pp. 45-64
Open Access | Times Cited: 17
Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, et al.
Lecture notes in computer science (2023), pp. 45-64
Open Access | Times Cited: 17
Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches
Deepika Singh, Erinç Merdivan, Johannes Kropf, et al.
Universal Access in the Information Society (2024)
Open Access | Times Cited: 6
Deepika Singh, Erinç Merdivan, Johannes Kropf, et al.
Universal Access in the Information Society (2024)
Open Access | Times Cited: 6
Speciesism and Preference of Human–Artificial Intelligence Interaction: A Study on Medical Artificial Intelligence
Weiwei Huo, Zihan Zhang, Jingjing Qu, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 11, pp. 2925-2937
Closed Access | Times Cited: 15
Weiwei Huo, Zihan Zhang, Jingjing Qu, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 11, pp. 2925-2937
Closed Access | Times Cited: 15
TCC-net: A two-stage training method with contradictory loss and co-teaching based on meta-learning for learning with noisy labels
Qiangqiang Xia, Feifei Lee, Qiu Chen
Information Sciences (2023) Vol. 639, pp. 119008-119008
Closed Access | Times Cited: 15
Qiangqiang Xia, Feifei Lee, Qiu Chen
Information Sciences (2023) Vol. 639, pp. 119008-119008
Closed Access | Times Cited: 15
A framework to distinguish healthy/cancer renal CT images using the fused deep features
V. Rajinikanth, P. M. Durai Raj Vincent, Kathiravan Srinivasan, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 14
V. Rajinikanth, P. M. Durai Raj Vincent, Kathiravan Srinivasan, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 14
Explainable AI: definition and attributes of a good explanation for health AI
Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, et al.
AI and Ethics (2025)
Open Access
Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, et al.
AI and Ethics (2025)
Open Access
Artificial Intelligence (AI) Applications in Job Sequencing and Scheduling
Toly Chen
SpringerBriefs in applied sciences and technology (2025), pp. 21-35
Closed Access
Toly Chen
SpringerBriefs in applied sciences and technology (2025), pp. 21-35
Closed Access
Human-in-the-loop cross-domain person re-identification
Rita Delussu, Lorenzo Putzu, Giorgio Fumera
Expert Systems with Applications (2023) Vol. 226, pp. 120216-120216
Open Access | Times Cited: 12
Rita Delussu, Lorenzo Putzu, Giorgio Fumera
Expert Systems with Applications (2023) Vol. 226, pp. 120216-120216
Open Access | Times Cited: 12
Building trust in deep learning-based immune response predictors with interpretable explanations
Piyush Borole, Ajitha Rajan
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
Piyush Borole, Ajitha Rajan
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
Data-Driven Approach for a Continuous Information Flow in a Closed-Loop Supply Chain
Celine Letzgus, Jennifer Alica Kirsch, Thomas Bauernhansl
Lecture notes in mechanical engineering (2025), pp. 509-515
Closed Access
Celine Letzgus, Jennifer Alica Kirsch, Thomas Bauernhansl
Lecture notes in mechanical engineering (2025), pp. 509-515
Closed Access
Developing and validating a Chinese human-automation trust scale: Advancing trust measurement of emerging automation in sustainable ergonomics
Zixin Cui, Xiangling Zhuang, Seul Chan Lee, et al.
Applied Ergonomics (2025) Vol. 125, pp. 104477-104477
Closed Access
Zixin Cui, Xiangling Zhuang, Seul Chan Lee, et al.
Applied Ergonomics (2025) Vol. 125, pp. 104477-104477
Closed Access
STRIFE: A Socio-Technical Framework for Threat Modeling of Artificial Intelligence Systems
Rangarajan Parthasarathy, Anuradha Rangarajan, Saran Ghatak, et al.
International Journal of Intelligent Information Technologies (2025) Vol. 21, Iss. 1, pp. 1-32
Open Access
Rangarajan Parthasarathy, Anuradha Rangarajan, Saran Ghatak, et al.
International Journal of Intelligent Information Technologies (2025) Vol. 21, Iss. 1, pp. 1-32
Open Access
