--- title: "Who cites eRock at Qur'an QA 2022: — 2 citing papers" description: "2 papers of the Elamur Research library cite «eRock at Qur'an QA 2022: Contemporary Deep Neural Networks for Qur'an based Reading…" canonical: "https://research.elamur.ai/free/en/papers/aftab-2022-erock-qur-qa-2022-contemporary/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/aftab-2022-erock-qur-qa-2022-contemporary/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [eRock at Qur'an QA 2022: Contemporary Deep Neural…](https://md.research.elamur.ai/free/en/papers/aftab-2022-erock-qur-qa-2022-contemporary/) / cited by # Who cites «eRock at Qur'an QA 2022: Contemporary Deep Neural Networks for Qur'an based Reading Comprehension Question Answers» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «eRock at Qur'an QA 2022: Contemporary Deep Neural Networks for Qur'an based Reading Comprehension Question Answers»](https://md.research.elamur.ai/free/en/papers/aftab-2022-erock-qur-qa-2022-contemporary/) 1. **[Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2022-qur-qa-2022-overview-first/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2022 · 32 citations* 2. **[LKAU23 at Qur'an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur'an](https://md.research.elamur.ai/free/en/papers/alnefaie-2023-lkau23-qur-qa-2023-transformer/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sarah Alnefaie, Abdullah Alsaleh, Eric Atwell, et al.*2023 · 3 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/aftab-2022-erock-qur-qa-2022-contemporary/) — eRock at Qur'an QA 2022: Contemporary Deep Neural Networks for Qur'an based Reading Comprehension Question Answers