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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:

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 26-50 of 54 citing articles:

Use of explainable AI to interpret the results of NLP models for sentimental analysis
Vijaykumar Bidve, M. M. Pathan, Pakiriswamy Sarasu, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 35, Iss. 1, pp. 511-511
Open Access | Times Cited: 1
From accuracy to approximation: A survey on approximate homomorphic encryption and its applications
Weinan Liu, Lin You, Yunfei Shao, et al.
Computer Science Review (2024) Vol. 55, pp. 100689-100689
Closed Access | Times Cited: 1
On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations
Julia El Zini, Mohammad Mansour, Basel Mousi, et al.
IFIP advances in information and communication technology (2022), pp. 338-349
Closed Access | Times Cited: 6
Generative AI in the Construction Industry: Opportunities & Challenges
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Explaining video summarization based on the focus of attention
Evlampios Apostolidis, Georgios Balaouras, Vasileios Mezaris, et al.
(2022), pp. 146-150
Open Access | Times Cited: 4
Exploring the Cognitive Neural Basis of Factuality in Abstractive Text Summarization Models: Interpretable Insights from EEG Signals
Zhejun Zhang, Yingqi Zhu, Yubo Zheng, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 875-875
Open Access
The Impact of Activation Patterns in the Explainability of Large Language Models – A Survey of recent advances
Mateus R. Figênio, André Santanchè, Luiz Gomes-Jr
(2024), pp. 141-149
Open Access
From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah, et al.
Autonomous Agents and Multi-Agent Systems (2024) Vol. 38, Iss. 2
Open Access
Challenges and Opportunities in Text Generation Explainability
Kenza Amara, Rita Sevastjanova, Mennatallah El‐Assady
Communications in computer and information science (2024), pp. 244-264
Closed Access
From outputs to insights: a survey of rationalization approaches for explainable text classification
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges
Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, et al.
Journal of Artificial Intelligence Research (2024) Vol. 80, pp. 1497-1523
Open Access
Automated text classification of opinion vs. news French press articles. A comparison of transformer and feature-based approaches
Louis Escouflaire, Antonin Descampe, Cédrick Fairon
Language & Communication (2024) Vol. 99, pp. 129-140
Closed Access
Advances and Challenges in Low-Resource-Environment Software Systems: A Survey
Abayomi O. Agbeyangi, Hussein Suleman
Informatics (2024) Vol. 11, Iss. 4, pp. 90-90
Open Access
An integrated framework for multi-granular explanation of video summarization
Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris
Frontiers in Signal Processing (2024) Vol. 4
Open Access
Taxonomy for Deep Learning in Natural Language Processing
K. Bhattacharya, Sudha Shanker Prasad
SSRN Electronic Journal (2024)
Closed Access
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts
Richard Vogel, Tobias Schlosser, Robert Manthey, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 800-826
Open Access
EXtrA-ShaRC: Explainable and Scrutable Reading Comprehension for Conversational Systems
Jerome Ramos, Aldo Lipani
(2024), pp. 47-56
Open Access
The Experimental Evaluation of Different Explainable AI Techniques for Large Language Models
Mina Nikolić, Aleksandar Stanimirović, Suzana Stojković
Lecture notes in networks and systems (2024), pp. 299-310
Closed Access
eXplainable AI for Word Embeddings: A Survey
Roberto Boselli, Simone D’Amico, Navid Nobani
Cognitive Computation (2024) Vol. 17, Iss. 1
Closed Access
Image Representation of Domain Names and Convolutional Neural Networks for Detecting Data Exfiltration
Ghebrebrhan Weldit Gebrehans, Ernesto Damiani, Chan Yeob Yeun
(2023)
Closed Access | Times Cited: 1
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing
Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah, et al.
Lecture notes in computer science (2023), pp. 97-115
Closed Access | Times Cited: 1
Explainable Video Summarization for Advancing Media Content Production
Evlampios Apostolidis, Georgios Balaouras, Ioannis Patras, et al.
Advances in information quality and management (2023), pp. 1-24
Open Access | Times Cited: 1
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
A User Preference and Intent Extraction Framework for Explainable Conversational Recommender Systems
Jieun Park, Sangyeon Kim, Sangwon Lee
(2023), pp. 16-23
Closed Access | Times Cited: 1
Feature Extraction and Prediction of Combined Text and Survey Data using Two-Staged Modeling
Asif Ahmed Neloy, Maxime Turgeon
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022)
Closed Access | Times Cited: 1

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