--- title: "Who cites Khaled Shaban" description: "77 papers of the Elamur Research library cite the works of Khaled Shaban, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/khaled-shaban/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/khaled-shaban/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Khaled Shaban](https://md.research.elamur.ai/free/en/authors/khaled-shaban/) / cited by # Who cites Khaled Shaban 99 citations of their works from 77 papers of our library (of the 140,884 whose bibliographies we read) · 23 with a page here, the most cited first · [← Khaled Shaban](https://md.research.elamur.ai/free/en/authors/khaled-shaban/) 1. [**AraBERT: Transformer-based Model for Arabic Language Understanding**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,297 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/) 2. [**SemEval-2017 Task 4: Sentiment Analysis in Twitter**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,159 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) 3. [**CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 288 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) 4. [**A review of sentiment analysis research in Arabic language**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/) 5. [**Arabic Fake News Detection Based on Deep Contextualized Embedding Models**Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.*2022 · 90 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2022-arabic-fake-news-detection-based/) 6. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/) 7. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/) 8. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset**Basma Alharbi, Hind Alamro, Manal Alshehri, et al.*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/) 9. [**Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/) 10. [**ArabianGPT: Native Arabic GPT-based Large Language Model**Anis Koubaa, Adel Ammar, Lahouari Ghouti, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/koubaa-2024-arabiangpt-native-arabic-gpt-based/) 11. [**A Large and Diverse Arabic Corpus for Language Modeling**Abbas Raza Ali, Muhammad Ajmal Siddiqui, Rema Algunaibet, et al.*2022 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ali-2022-large-diverse-arabic-corpus-language/) 12. [**On the Importance of Tokenization in Arabic Embedding Models**Mohamed Alkaoud, Mairaj Syed*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alkaoud-2020-importance-tokenization-arabic-embedding-models/) 13. [**TArC: Tunisian Arabish Corpus, First complete release**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) 14. [**Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification**Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/) 15. [**Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings**Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, et al.*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/) 16. [**Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models**Mohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alrefaie-2024-exploring-tokenization-strategies-vocabulary-sizes/) 17. [**Arabic Sentiment Analysis with Noisy Deep Explainable Model**Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/atabuzzaman-2023-arabic-sentiment-analysis-noisy-deep/) 18. [**Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/) 19. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/) 20. [**A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation**Ahmed Alansary, Molham Mohamed, Ali Hamdi*2026*](https://md.research.elamur.ai/free/en/papers/alansary-2026-severity-based-curriculum-learning-strategy/) 21. [**Severity-Aware Weighted Loss for Arabic Medical Text Generation**Ahmed Alansary, Molham Mohamed, Ali Hamdi*2026*](https://md.research.elamur.ai/free/en/papers/alansary-2026-severity-aware-weighted-loss-arabic/) 22. [**Sentiment Analysis in Poems in Misurata Sub-dialect — A Sentiment Detection in an Arabic Sub-dialect**Azza Abugharsa*2021*](https://md.research.elamur.ai/free/en/papers/abugharsa-2021-sentiment-analysis-poems-misurata-sub/) 23. [**Building the Emirati Arabic FrameNet**Andrew Gargett, Tommi Leung*2020*](https://md.research.elamur.ai/free/en/papers/gargett-2020-building-emirati-arabic-framenet/) 54 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/khaled-shaban/) — Khaled Shaban