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:

Explainable artificial intelligence: A survey
Filip Karlo Došilović, Mario Brčić, Nikica Hlupić
(2018), pp. 0210-0215
Closed Access | Times Cited: 865

Showing 1-25 of 865 citing articles:

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, et al.
Information Fusion (2019) Vol. 58, pp. 82-115
Open Access | Times Cited: 5790

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi, Mohammed Berrada
IEEE Access (2018) Vol. 6, pp. 52138-52160
Open Access | Times Cited: 4224

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa, Cuntai Guan
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 11, pp. 4793-4813
Open Access | Times Cited: 1388

Study on artificial intelligence: The state of the art and future prospects
Caiming Zhang, Yang Lu
Journal of Industrial Information Integration (2021) Vol. 23, pp. 100224-100224
Closed Access | Times Cited: 714

Artificial intelligence: a survey on evolution, models, applications and future trends
Yang Lu
Journal of Management Analytics (2019) Vol. 6, Iss. 1, pp. 1-29
Closed Access | Times Cited: 467

Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges
Feiyu Xu, Hans Uszkoreit, Yangzhou Du, et al.
Lecture notes in computer science (2019), pp. 563-574
Closed Access | Times Cited: 441

Seven HCI Grand Challenges
Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, et al.
International Journal of Human-Computer Interaction (2019) Vol. 35, Iss. 14, pp. 1229-1269
Open Access | Times Cited: 398

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das, Paul Rad
arXiv (Cornell University) (2020)
Open Access | Times Cited: 391

Notions of explainability and evaluation approaches for explainable artificial intelligence
Giulia Vilone, Luca Longo
Information Fusion (2021) Vol. 76, pp. 89-106
Open Access | Times Cited: 377

Explainable AI (XAI): Core Ideas, Techniques, and Solutions
Rudresh Dwivedi, Devam Dave, Het Naik, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-33
Open Access | Times Cited: 375

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Vikas Hassija, Vinay Chamola, A. Mahapatra, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 45-74
Open Access | Times Cited: 358

Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Waddah Saeed, Christian W. Omlin
Knowledge-Based Systems (2023) Vol. 263, pp. 110273-110273
Open Access | Times Cited: 333

Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan, Haiyang Yu, Shurui Gui, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-19
Open Access | Times Cited: 302

Explainable Deep Learning: A Field Guide for the Uninitiated
Gabriëlle Ras, Ning Xie, Marcel van Gerven, et al.
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 329-397
Open Access | Times Cited: 286

Methods for Segmentation and Classification of Digital Microscopy Tissue Images
Quoc Dang Vu, Simon Graham, Tahsin Kurç, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 256

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
J. M. Górriz, Javier Ramı́rez, Andrés Ortíz, et al.
Neurocomputing (2020) Vol. 410, pp. 237-270
Open Access | Times Cited: 237

Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-46
Open Access | Times Cited: 236

Counterfactual explanations and how to find them: literature review and benchmarking
Riccardo Guidotti
Data Mining and Knowledge Discovery (2022) Vol. 38, Iss. 5, pp. 2770-2824
Open Access | Times Cited: 207

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks
Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1353-1353
Open Access | Times Cited: 203

Artificial intelligence, transparency, and public decision-making
Karl de Fine Licht, Jenny de Fine Licht
AI & Society (2020) Vol. 35, Iss. 4, pp. 917-926
Open Access | Times Cited: 183

A Survey of Data-driven and Knowledge-aware eXplainable AI
Xiaohui Li, Caleb Chen Cao, Yuhan Shi, et al.
IEEE Transactions on Knowledge and Data Engineering (2020), pp. 1-1
Closed Access | Times Cited: 181

A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques
Mobeen Nazar, Muhammad Mansoor Alam, Eiad Yafi, et al.
IEEE Access (2021) Vol. 9, pp. 153316-153348
Open Access | Times Cited: 181

Knowledge graphs as tools for explainable machine learning: A survey
Ilaria Tiddi, Stefan Schlobach
Artificial Intelligence (2021) Vol. 302, pp. 103627-103627
Open Access | Times Cited: 179

Explainable Reinforcement Learning: A Survey
Erika Puiutta, Eric MSP Veith
Lecture notes in computer science (2020), pp. 77-95
Closed Access | Times Cited: 163

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