---
title: "Who cites Ahmad Al Sallab — 33 papers of our library"
description: "33 papers of the Elamur Research library cite the works of Ahmad Al Sallab, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/ahmad-al-sallab/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ahmad-al-sallab/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Ahmad Al Sallab](https://md.research.elamur.ai/free/en/authors/ahmad-al-sallab/) / cited by

# Who cites Ahmad Al Sallab

37 citations of their works from 33 papers of our library (of the 149,439 whose bibliographies we read) · 30 with a page here, the most cited first · [← Ahmad Al Sallab](https://md.research.elamur.ai/free/en/authors/ahmad-al-sallab/)

1. [**AraBERT: Transformer-based Model for Arabic Language Understanding arXiv:2003.00104**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,304 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](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations*
3. [**A review of sentiment analysis research in Arabic language arXiv:2005.12240**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/)
4. **[A Combined CNN and LSTM Model for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alayba-2018-combined-cnn-lstm-model-arabic/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Abdulaziz M. Alayba; Vasile Palade; Matthew England;, Rahat Iqbal*2018 · 217 citations*
5. **[Neural Arabic Question Answering](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.*2019 · 206 citations*
6. **[Mazajak: An Online Arabic Sentiment Analyser](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Walid Magdy*2019 · 197 citations*
7. [**Arabic Diacritization with Recurrent Neural Networks**Yonatan Belinkov, James Glass*2015 · 93 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2015-arabic-diacritization-recurrent-neural-networks/)
8. **[hULMonA: The Universal Language Model in Arabic](https://md.research.elamur.ai/free/en/papers/eljundi-2019-hulmona-universal-language-model-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Obeida ElJundi, Wissam Antoun, Nour El Droubi, et al.*2019 · 89 citations*
9. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
10. [**Improving Sentiment Analysis in Arabic Using Word Representation arXiv:1803.00124 · Proc. 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR '18), pp. 13-18. IEEE, 2018**Abdulaziz M. Alayba, Vasile Palade, Matthew England, et al.*2018 · 59 citations*](https://md.research.elamur.ai/free/en/papers/alayba-2018-improving-sentiment-analysis-arabic-using/)
11. **[SHAKKIL: An Automatic Diacritization System for Modern Standard Arabic Texts](https://md.research.elamur.ai/free/en/papers/fashwan-2017-shakkil-automatic-diacritization-system-modern/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Amany Fashwan, Sameh Alansary*2017 · 53 citations*
12. **[CAT: Credibility Analysis of Arabic Content on Twitter](https://md.research.elamur.ai/free/en/papers/ballouli-2017-cat-credibility-analysis-arabic-content/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Rim El Ballouli, Wassim El-Hajj, Ahmad Ghandour, et al.*2017 · 52 citations*
13. **[EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet](https://md.research.elamur.ai/free/en/papers/badaro-2018-emowordnet-automatic-expansion-emotion-lexicon/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gilbert Badaro, Hussein Jundi, Hazem Hajj, et al.*2018 · 43 citations*
14. **[Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.*2021 · 41 citations*
15. [**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/)
16. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset arXiv:2011.00578**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/)
17. **[An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training](https://md.research.elamur.ai/free/en/papers/kwaik-2020-arabic-tweets-sentiment-analysis-dataset/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik, et al.*2020 · 38 citations*
18. **[Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*
19. **[OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model](https://md.research.elamur.ai/free/en/papers/baly-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.*2017 · 33 citations*
20. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations*
21. **[Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/mulki-2019-syntax-ignorant-n-gram-embeddings/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2019 · 13 citations*
22. **[Modern Trends in Arabic Sentiment Analysis: A Survey](https://md.research.elamur.ai/free/en/papers/mulki-2017-modern-trends-arabic-sentiment-analysis/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Hala Mulki, Hatem Haddad, Ismail Babaoğlu*2017 · 12 citations*
23. **[OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields](https://md.research.elamur.ai/free/en/papers/onyibe-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Chukwuyem Onyibe, Nizar Habash*2017 · 12 citations*
24. **[TArC: Tunisian Arabish Corpus, First complete release](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*
25. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations*
26. **[Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.*2021 · 6 citations*
27. [**Arabic Sentiment Analysis with Noisy Deep Explainable Model arXiv:2309.13731 · NLPIR 2023: 2023 7th International Conference on Natural Language Processing and Information Retrieval, Seoul, Republic of Korea, December 2023**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/)
28. **[Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations*
29. **[SentiArabic: A Sentiment Analyzer for Standard Arabic](https://md.research.elamur.ai/free/en/papers/eskander-2018-sentiarabic-sentiment-analyzer-standard-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ramy Eskander*2018 · 4 citations*
30. **[Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool](https://md.research.elamur.ai/free/en/papers/nigusie-2025-supervised-machine-learning-based-amharic/) [Workshop on African Natural Language Processing](https://md.research.elamur.ai/free/en/venues/africanlp/)**Gebregziabihier Nigusie*2025 · 1 citation*

3 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/ahmad-al-sallab/) — Ahmad Al Sallab