---
title: "tensorflow/nmt: papers citing this GitHub repository"
description: "3 papers in the tracked journals link to the GitHub repository tensorflow/nmt in their Crossref records, the first in 2020; most of them (1) in 2022."
url: https://scholar4ai.com/code/github-tensorflow-nmt
markdown_url: https://scholar4ai.com/code/github-tensorflow-nmt.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository tensorflow/nmt in their Crossref records, the first in 2020; most of them (1) in 2022. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# tensorflow/nmt: papers linking to it

Research papers in the 480 tracked journals that link to tensorflow/nmt (https://github.com/tensorflow/nmt), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- GitHub
- 6,453 stars
- 1,936 forks
- Python
- license Apache-2.0
- created 2017
- archived
- https://github.com/tensorflow/nmt

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the GitHub repository tensorflow/nmt in their Crossref records, the first in 2020; most of them (1) in 2022.
- By category: AI (3); the journals with the most are Neural Computing and Applications (1), Machine Learning (1) and Knowledge and Information Systems (1).

## By year

*Papers linking to tensorflow/nmt by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |

## Journals

*Journals whose papers link to tensorflow/nmt most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

## Papers

*Papers linking to tensorflow/nmt, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-03-29 | [Towards achieving a delicate blending between rule-based translator and neural machine translator](https://doi.org/10.1007/s00521-021-05895-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Md. Adnanul Islam, Md. Saidul Hoque Anik, A. B. M. Alim Al Islam | 32 | cites it |
| 2020-07-19 | [Fast LSTM by dynamic decomposition on cloud and distributed systems](https://doi.org/10.1007/s10115-020-01487-8) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Yang You, Yuxiong He, Samyam Rajbhandari et al. | 6 | cites it |
| 2022-10-20 | [Attacking neural machine translations via hybrid attention learning](https://doi.org/10.1007/s10994-022-06249-x) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Mingze Ni, Ce Wang, Tianqing Zhu et al. | 4 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). tensorflow/nmt: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-tensorflow-nmt

```bibtex
@misc{scholar4ai-code-github-tensorflow-nmt,
  author = {{Scholar4AI}},
  title = {tensorflow/nmt: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-tensorflow-nmt}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).