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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 comprehensive review
Dang Lien Minh, Hanxiang Wang, Yanfen Li, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 5, pp. 3503-3568
Closed Access | Times Cited: 419

Showing 1-25 of 419 citing articles:

Human-in-the-loop machine learning: a state of the art
Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 3005-3054
Open Access | Times Cited: 342
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Alexandre Blanco-González, Alfonso Cabezón, Alejandro Seco-González, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 6, pp. 891-891
Open Access | Times Cited: 296
A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 182
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods
Timo Speith
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2239-2250
Open Access | Times Cited: 180
The neuroconnectionist research programme
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 130
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
Information Fusion (2024) Vol. 106, pp. 102301-102301
Open Access | Times Cited: 124
Review of artificial intelligence applications in engineering design perspective
Nurullah Yüksel, Hüseyin Rıza Börklü, Hüseyin Kürşad Sezer, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105697-105697
Closed Access | Times Cited: 120
Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Yiming Liu, Xinyu Tan, Jie Liang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 17
Closed Access | Times Cited: 78
A systematic review of artificial intelligence impact assessments
Bernd Carsten Stahl, Josephina Antoniou, Nitika Bhalla, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12799-12831
Open Access | Times Cited: 78
Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions
Nour Moustafa, Nickolaos Koroniotis, Marwa Keshk, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 3, pp. 1775-1807
Closed Access | Times Cited: 76
Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, et al.
Engineering Failure Analysis (2023) Vol. 149, pp. 107237-107237
Open Access | Times Cited: 71
Beyond explaining: Opportunities and challenges of XAI-based model improvement
Leander Weber, Sebastian Lapuschkin, Alexander Binder, et al.
Information Fusion (2022) Vol. 92, pp. 154-176
Open Access | Times Cited: 69
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 78-108
Open Access | Times Cited: 60
Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction
Peter E.D. Love, Weili Fang, Jane Matthews, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102024-102024
Closed Access | Times Cited: 54
Deep learning technologies for shield tunneling: Challenges and opportunities
Cheng Zhou, Yuyue Gao, Elton J. Chen, et al.
Automation in Construction (2023) Vol. 154, pp. 104982-104982
Closed Access | Times Cited: 54
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 10, pp. 7997-8006
Open Access | Times Cited: 44
Adversarial machine learning :
Apostol Vassilev, Alina Oprea, Alie Jean Fordyce, et al.
(2024)
Open Access | Times Cited: 43
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic
Yassine Himeur, Somaya Al‐Maadeed, Iraklis Varlamis, et al.
Systems (2023) Vol. 11, Iss. 2, pp. 107-107
Open Access | Times Cited: 42
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, et al.
Natural Language Processing Journal (2024) Vol. 6, pp. 100059-100059
Open Access | Times Cited: 40
Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms
Adriano Koshiyama, Emre Kazim, Philip Treleaven, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 22
Empowerment of AI algorithms in biochemical sensors
Zhongzeng Zhou, Tailin Xu, Xueji Zhang
TrAC Trends in Analytical Chemistry (2024) Vol. 173, pp. 117613-117613
Closed Access | Times Cited: 21
Carbon trading price forecasting in digitalization social change era using an explainable machine learning approach: The case of China as emerging country evidence
Ning Wang, Z. J. Guo, Dawei Shang, et al.
Technological Forecasting and Social Change (2024) Vol. 200, pp. 123178-123178
Closed Access | Times Cited: 20
On the failings of Shapley values for explainability
Xuanxiang Huang, João Marques‐Silva
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109112-109112
Closed Access | Times Cited: 20
Exploring blockchain and artificial intelligence in intelligent packaging to combat food fraud: A comprehensive review
Yadong Yang, Yating Du, Vijai Kumar Gupta, et al.
Food Packaging and Shelf Life (2024) Vol. 43, pp. 101287-101287
Closed Access | Times Cited: 17
Policy advice and best practices on bias and fairness in AI
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 17
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