---
title: "Who cites niksss at Qur'an QA 2022: A Heavily — 1 citing paper"
description: "1 paper of the Elamur Research library cite «niksss at Qur'an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions…"
canonical: "https://research.elamur.ai/free/en/papers/singh-2022-niksss-qur-qa-2022-heavily/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [niksss at Qur'an QA 2022: A Heavily Optimized…](https://md.research.elamur.ai/free/en/papers/singh-2022-niksss-qur-qa-2022-heavily/) / cited by

# Who cites «niksss at Qur'an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu'ran»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «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/)

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*
- [← back to](https://md.research.elamur.ai/free/en/papers/singh-2022-niksss-qur-qa-2022-heavily/) — niksss at Qur'an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu'ran
