--- title: "Who cites Maha Ragab — 20 papers of our library" description: "20 papers of the Elamur Research library cite the works of Maha Ragab, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/maha-ragab/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maha-ragab/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Maha Ragab](https://md.research.elamur.ai/free/en/authors/maha-ragab/) / cited by # Who cites Maha Ragab 21 citations of their works from 20 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · [← Maha Ragab](https://md.research.elamur.ai/free/en/authors/maha-ragab/) 1. **[Al-Bayan: A Knowledge-based System for Arabic Answer Selection](https://md.research.elamur.ai/free/en/papers/mohamed-2015-al-bayan-knowledge-based-system/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Reham Mohamed, Maha Ragab, Heba Abdelnasser, et al.*2015 · 21 citations* 2. **[AHJL at Qur'an QA 2023 Shared Task: Enhancing Passage Retrieval using Sentence Transformer and Translation](https://md.research.elamur.ai/free/en/papers/alawwad-2023-ahjl-qur-qa-2023-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hessa Alawwad, Lujain Alawwad, Jamilah Alharbi, et al.*2023 · 11 citations* 3. [**Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL arXiv:1508.01447**Iyad AlAgha*2015 · 10 citations*](https://md.research.elamur.ai/free/en/papers/alagha-2015-using-linguistic-analysis-translate-arabic/) 4. **[Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/) [Proceedings of the AAAI/ACM Conference on AI Ethics and Society](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/)**Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.*2025 · 8 citations* 5. **[TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based Models](https://md.research.elamur.ai/free/en/papers/elkomy-2022-tce-qur-qa-2022-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Mohamemd Elkomy, Amany M. Sarhan*2022 · 7 citations* 6. **[Quranic Verses Semantic Relatedness Using AraBERT](https://md.research.elamur.ai/free/en/papers/alsaleh-2021-quranic-verses-semantic-relatedness-arabert/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan*2021 · 6 citations* 7. **[Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach](https://md.research.elamur.ai/free/en/papers/belinkov-2015-answer-selection-arabic-community-question/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Yonatan Belinkov, Alberto Barrón-Cedeño, Hamdy Mubarak*2015 · 5 citations* 8. **[GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-qur-qa-2022-efficient/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed*2022 · 4 citations* 9. **[Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur'an with Transformer Models and Releasing a New Dataset](https://md.research.elamur.ai/free/en/papers/sleem-2022-stars-qur-qa-2022-building/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ahmed Sleem, Eman Mohammed lotfy Elrefai, Marwa Mohammed Matar, et al.*2022 · 4 citations* 10. **[QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task](https://md.research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Basem Ahmed, Motaz Saad, Eshrag A. Refaee*2022 · 3 citations* 11. **[LK2022 at Qur'an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur'an](https://md.research.elamur.ai/free/en/papers/alsaleh-2022-lk2022-qur-qa-2022-simple/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdullah Alsaleh, Saud Althabiti, Ibtisam Alshammari, et al.*2022 · 2 citations* 12. **[Tokenizers United at QIAS-2025: RAG-Enhanced Question Answering for Islamic Studies by Integrating Semantic Retrieval with Generative Reasoning](https://md.research.elamur.ai/free/en/papers/samy-2025-tokenizers-united-qias-2025-rag/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Samy, Mayar Boghdady, Marwan El Adawi, et al.*2025 · 1 citation* 13. [**Harnessing Multilingual Resources to Question Answering in Arabic arXiv:2205.08024**Khalid Alnajjar, Mika Hamalainen*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alnajjar-2022-harnessing-multilingual-resources-question-answering/) 14. **[niksss at Qur'an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu'ran](https://md.research.elamur.ai/free/en/papers/singh-2022-niksss-qur-qa-2022-heavily/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Nikhil Singh*2022 · 1 citation* 15. [**A Preliminary Study for Building an Arabic Corpus of Pair Questions-Texts from the Web: AQA-Webcorp arXiv:1709.09404 · International Journal of Recent Contributions from Engineering, Science \& IT (iJES), kassel university press GmbH, 2016, 4 (2), pp.38-45**Wided Bakari, Patrice Bellot, Mahmoud Neji LSIS)*2016*](https://md.research.elamur.ai/free/en/papers/bakari-2017-preliminary-study-building-arabic-corpus/) 5 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/maha-ragab/) — Maha Ragab