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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:

Deep Transformer Language Models for Arabic Text Summarization: A Comparison Study
Hasna Chouikhi, Mohammed Alsuhaibani
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 11944-11944
Open Access | Times Cited: 17

Showing 17 citing articles:

BERT-Based Joint Model for Aspect Term Extraction and Aspect Polarity Detection in Arabic Text
Hasna Chouikhi, Mohammed Alsuhaibani, Fethi Jarray
Electronics (2023) Vol. 12, Iss. 3, pp. 515-515
Open Access | Times Cited: 18
Enhanced model for abstractive Arabic text summarization using natural language generation and named entity recognition
Nada Essa, M. M. El-Gayar, Eman Eldaydamony
Neural Computing and Applications (2025)
Open Access
Fine-Tuning AraBART on AHS Dataset for Arabic Abstractive Summarization
Mustapha Benbarka, Moulay Abdellah Kassimi
Communications in computer and information science (2025), pp. 170-182
Closed Access
AraFast: Developing and Evaluating a Comprehensive Modern Standard Arabic Corpus for Enhanced Natural Language Processing
Asmaa Alrayzah, Fawaz Alsolami, Mostafa Saleh
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5294-5294
Open Access | Times Cited: 1
Fine-Tuned Understanding: Enhancing Social Bot Detection With Transformer-Based Classification
Amine Sallah, El Arbi Abdellaoui Alaoui, Saïd Agoujil, et al.
IEEE Access (2024) Vol. 12, pp. 118250-118269
Open Access | Times Cited: 1
Sentence Reduction based on Automatic Document Text Summarization and Crossbred Framework
Mohammed Mahdi Hashim, Aqeel Al-Hilali, Mohammed G. S. Al. Safi, et al.
(2023), pp. 1-10
Closed Access | Times Cited: 4
Enhancing Text Summarization with a T5 Model and Bayesian Optimization
Arif Ridho Lubis, Habibi Ramdani Safitri, Irvan Irvan, et al.
Revue d intelligence artificielle (2023) Vol. 37, Iss. 5, pp. 1213-1219
Open Access | Times Cited: 3
Development and Performance Evaluation of Text Summarization using Deep Learning and Natural Language Processing Techniques
Nitin Shivsharan, Pratiksha Sawant, Sukanya Patil, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
Toward an efficient extractive Arabic text summarisation system based on Arabic large language models
Ghizlane Bourahouat, Manar Abourezq, Najima Daoudi
International Journal of Data Science and Analytics (2024)
Closed Access
RUATS: Abstractive Text Summarization for Roman Urdu
Laraib Kaleem, Arif Ur Rahman, Momina Moetesum
Lecture notes in computer science (2024), pp. 258-273
Closed Access
Comparative Analysis of GPT-2 and LSTM Models for Indian Recipe Generation: A Machine Learning Approach
Dr Kamatchi S, A. Buvan Reddy, S T P Hayavadan, et al.
(2024), pp. 390-397
Closed Access
Arabic Grammatical Error Detection Using Transformers-based Pretrained Language Models
Sarah AlOyaynaa, Yasser Kotb
ITM Web of Conferences (2023) Vol. 56, pp. 04009-04009
Open Access | Times Cited: 1
Attacking a Transformer-Based Models for Arabic Language as Low Resources Language (LRL) Using Word-Substitution Methods
Hanin Alshalan, Banafsheh Rekabdar
(2023) Vol. 30, pp. 95-101
Closed Access | Times Cited: 1
Sh-DistilBERT: New Transfer Learning Model for Arabic Sentiment Analysis and Aspect Category Detection
Hasna Chouikhi, Fethi Jarray
Communications in computer and information science (2023), pp. 272-283
Closed Access | Times Cited: 1
Fine-Tuned PEGASUS: Exploring the Performance of the Transformer-Based Model on a Diverse Text Summarization Dataset
Mohammed Alsuhaibani
Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science (2023)
Open Access
Improving Text Summarization Quality by Combining T5-Based Models and Convolutional Seq2Seq Models
Arif Ridho Lubis, Habibi Ramdani Safitri, Irvan Irvan, et al.
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 5, Iss. 1, pp. 451-459
Open Access
Exploring Arabic Pre-Trained Language Models for Arabic Abstractive Text Summarization
Dhuha Alqahtani, Maha Al-Yahya
(2023), pp. 1-7
Closed Access
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