---
title: "Who cites Hanada Taha-Thomure"
description: "28 papers of the Elamur Research library cite the works of Hanada Taha-Thomure, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/hanada-taha-thomure/cited-by/"
---
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# Who cites Hanada Taha-Thomure

28 citations of their works from 28 papers of our library (of the 140,884 whose bibliographies we read) · 7 with a page here, the most cited first · [← Hanada Taha-Thomure](https://md.research.elamur.ai/free/en/authors/hanada-taha-thomure/)

1. [**A Large and Balanced Multi-Domain Arabic Corpus Annotated for Morphology, Syntax, and Readability**Khalid N. Elmadani, Adel Mahmoud Wizani, Hanada Taha Thomure, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/elmadani-2026-large-balanced-multi-domain-arabic/)
2. [**Lemmatization as a Classification Task: Results from Arabic across Multiple Genres**Mostafa Saeed, Nizar Habash*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/saeed-2025-lemmatization-as-classification-task-results/)
3. [**Arabic Sentence Segmentation Across Genres and Punctuation Conditions**Mohammed Elkholy, Khalid N. Elmadani, Nizar Habash, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elkholy-2026-arabic-sentence-segmentation-across-genres/)
4. [**AraMIP: Extending MIPVU Towards Metaphor Identification in Arabic**Mandar Marathe, Manar Ali, Sara Nabhani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/marathe-2026-aramip-extending-mipvu-towards-metaphor/)
5. [**Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models**Injy Hamed, Bashar Alhafni, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hamed-2026-benchmarking-arabic-authorship-attribution-style/)
6. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)
7. [**Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction**Passant Elchafei, Mayar Osama, Mohamed Rageh, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elchafei-2025-lexicon-enriched-graph-modeling-arabic/)

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

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