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:

On the Explainability of Natural Language Processing Deep Models
Julia El Zini, Mariette Awad
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-31
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

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

Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 34

Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
Buildings (2024) Vol. 14, Iss. 1, pp. 220-220
Open Access | Times Cited: 30

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 359-415
Open Access | Times Cited: 27

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-41
Open Access | Times Cited: 35

Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda
Johannes Schneider
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 12

Deep Neighborhood-Preserving Hashing With Quadratic Spherical Mutual Information for Cross-Modal Retrieval
Qibing Qin, Yadong Huo, Lei Huang, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 6361-6374
Closed Access | Times Cited: 6

The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change
Michelle Bak, Jessie Chin
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 2047-2053
Closed Access | Times Cited: 6

Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach
David Hanny, Bernd Resch
Information (2024) Vol. 15, Iss. 4, pp. 200-200
Open Access | Times Cited: 5

The Explainability of Transformers: Current Status and Directions
Paolo Fantozzi, Maurizio Naldi
Computers (2024) Vol. 13, Iss. 4, pp. 92-92
Open Access | Times Cited: 5

Identification of patients’ smoking status using an explainable AI approach: a Danish electronic health records case study
Ali Ebrahimi, Margrethe Bang Henriksen, Claus Lohman Brasen, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5

An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei, Yun-Cheng Wang, Bin Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 13

A model-agnostic, network theory-based framework for supporting XAI on classifiers
Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122588-122588
Open Access | Times Cited: 13

Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
Licheng Jiao, Y Shao, Long Sun, et al.
IEEE Access (2024) Vol. 12, pp. 133245-133314
Open Access | Times Cited: 4

Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers
Harsha Moraliyage, Geemini Kulawardana, Daswin De Silva, et al.
Applied System Innovation (2025) Vol. 8, Iss. 1, pp. 17-17
Open Access

X under Musk’s leadership: Substantial hate and no reduction in inauthentic activity
Daniel Hickey, Daniel M. T. Fessler, Kristina Lerman, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313293-e0313293
Open Access

Pearls and Pitfalls of Large Language Models in Spine Surgery
D. Herrera, Arun Movva, Kaitlyn Hurka, et al.
Contemporary Spine Surgery (2025) Vol. 26, Iss. 4, pp. 1-7
Closed Access

Behavioral economics, artificial intelligence and entrepreneurship: an updated framework for management
José Ramón Saura, Rita Bužinskienė
International Entrepreneurship and Management Journal (2025) Vol. 21, Iss. 1
Open Access

Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling—A Review
Damilola Onatayo, Adetayo Onososen, Abiola Oluwasogo Oyediran, et al.
Architecture (2024) Vol. 4, Iss. 4, pp. 877-902
Open Access | Times Cited: 3

Natural Language Processing Pretraining Language Model for Computer Intelligent Recognition Technology
Dong Jun
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 23, Iss. 8, pp. 1-12
Open Access | Times Cited: 5

Discovering Personally Identifiable Information in Textual Data - A Case Study with Automated Concatenation of Embeddings
Md Hasan Shahriar, Abrar Hasin Kamal, Anne V. D. M. Kayem
Lecture notes on data engineering and communications technologies (2024), pp. 145-158
Closed Access | Times Cited: 1

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