---
title: "Who cites Image-to-Markup Generation with — 29 citing papers"
description: "29 papers of the Elamur Research library cite «Image-to-Markup Generation with Coarse-to-Fine Attention», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Image-to-Markup Generation with Coarse-to-Fine…](https://md.research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/) / cited by

# Who cites «Image-to-Markup Generation with Coarse-to-Fine Attention»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Image-to-Markup Generation with Coarse-to-Fine Attention»](https://md.research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/)

1. **[OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guillaume Klein, Yoon Kim, Yuntian Deng, et al.*2017 · 2,475 citations*
2. **[A Survey of Machine Learning for Big Code and Naturalness](https://md.research.elamur.ai/free/en/papers/allamanis-2017-survey-machine-learning-big-code/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.*2017 · 167 citations*
3. [**Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding arXiv:2210.03347**Kenton Lee, Mandar Joshi, Iulia Turc, et al.*2022 · 158 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-pix2struct-screenshot-parsing-pretraining-visual/)
4. [**Nougat: Neural Optical Understanding for Academic Documents arXiv:2308.13418**Lukas Blecher, Guillem Cucurull, Thomas Scialom, et al.*2023 · 100 citations*](https://md.research.elamur.ai/free/en/papers/blecher-2023-nougat-neural-optical-understanding-academic/)
5. **[Datasets for Scientific Literature Understanding: A Survey](https://md.research.elamur.ai/free/en/papers/zhang-2026-datasets-scientific-literature-understanding-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanzhe Zhang, Xun Zhao, Maodi Hu, et al.*2026*

24 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/) — Image-to-Markup Generation with Coarse-to-Fine Attention
