---
title: "Who cites Lamya Alkanhal — 16 papers of our library"
description: "16 papers of the Elamur Research library cite the works of Lamya Alkanhal, found in their bibliographies; the most cited first."
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---
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# Who cites Lamya Alkanhal

16 citations of their works from 16 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Lamya Alkanhal](https://md.research.elamur.ai/free/en/authors/lamya-alkanhal/)

1. **[Iqra'Eval: A Shared Task on Qur'anic Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/kheir-2025-iqra-eval-shared-task-qur/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, et al.*2025 · 6 citations*
2. **[Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/grigoryan-2025-open-automatic-speech-recognition-models/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Lilit Grigoryan, Nikolay Karpov, Enas Albasiri, et al.*2025 · 4 citations*
3. **[Phoneme-level mispronunciation detection in Quranic recitation using ShallowTransformer](https://md.research.elamur.ai/free/en/papers/daoud-2025-phoneme-level-mispronunciation-detection-quranic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Nadhir Daoud, Mohamed Anouar Ben Messaoud*2025 · 4 citations*
4. **[ANPLers at IqraEval Shared task: Adapting Whisper-large-v3 as Speech-to-Phoneme for Qur'anic Recitation Mispronunciation Detection](https://md.research.elamur.ai/free/en/papers/qandos-2025-anplers-iqraeval-shared-task-adapting/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Nour Qandos, Serry Sibaee, Samar Ahmad, et al.*2025 · 2 citations*
5. [**Ara-Best-RQ: Multi Dialectal Arabic SSL arXiv:2603.21900**Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elleuch-2026-ara-best-rq-multi-dialectal/)
6. [**Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment arXiv:2604.06191**Asif Azad, MD Sadik Hossain Shanto, Mohammad Sadat Hossain, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azad-2026-harf-speech-clinically-aligned-framework/)
7. **[Ramsa: A Large Sociolinguistically Rich Emirati Arabic Speech Corpus for ASR and TTS](https://md.research.elamur.ai/free/en/papers/sabbagh-2026-ramsa-large-sociolinguistically-rich-emirati/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rania Al-Sabbagh*2026 · 1 citation*
8. **[AraS2P: Arabic Speech-to-Phonemes System](https://md.research.elamur.ai/free/en/papers/mattar-2025-aras2p-arabic-speech-phonemes-system/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Bassam Mattar, Mohamed Fayed, Ayman Khalafallah*2025 · 1 citation*
9. **[Hafs2Vec: A System for the IqraEval Arabic and Qur'anic Phoneme-level Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/ibrahim-2025-hafs2vec-system-iqraeval-arabic-qur/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Ibrahim*2025 · 1 citation*
10. **[Metapseud at Iqra'Eval: Domain Adaptation with Multi-Stage Fine-Tuning for Phoneme-Level Qur'anic Mispronunciation Detection](https://md.research.elamur.ai/free/en/papers/mansour-2025-metapseud-iqra-eval-domain-adaptation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ayman Mansour*2025 · 1 citation*
11. [**A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic arXiv:2606.24086**Jing Yang, Shuqing Zhang, Yongyi Deng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-fusion-aware-two-stage-framework/)
12. [**CARDAMOM: A Micro-Dialectal Arabic Speech Dataset for ASR arXiv:2609.34481**Bashar Talafha, Samar M. Magdy, Aisha Alansari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/talafha-2026-cardamom-micro-dialectal-arabic-speech/)
13. **[Parameter-Efficient Adaptation of Self-Supervised Models for Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/alshehri-2026-parameter-efficient-adaptation-self-supervised/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Wafa Mohammed Alshehri, Wasfi G. Al-khatib, Mohammad Ismail Amro*2026*
14. **[Saudi ASWAT: A Large-Scale Corpus of Spontaneous Saudi Arabic Speech](https://md.research.elamur.ai/free/en/papers/alharbi-2026-saudi-aswat-large-scale-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abdullah I. Alharbi, Afrah A. Altamimi, Muneera Alhoshan, et al.*2026*
15. [**Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning arXiv:2509.00094**Abdullah Abdelfattah, Mahmoud I. Khalil, Hazem Abbas*2025*](https://md.research.elamur.ai/free/en/papers/abdelfattah-2025-automatic-pronunciation-error-detection-correction/)
16. [**Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition arXiv:2511.17477**Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/)
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