tensorflow/nmt: papers linking to it

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

← Code and data repositories cited in research papers

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.

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#

20202022

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	1
Machine Learning	1
Knowledge and Information Systems	1

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	Neural Computing and Applications	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	Knowledge and Information Systems	Yang You, Yuxiong He, Samyam Rajbhandari et al.	6	cites it
2022-10-20	Attacking neural machine translations via hybrid attention learning	Machine Learning	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

@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}
}

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