tensorflow/tensor2tensor: papers linking to it

GitHub · 17,471 stars · 3,804 forks · Python · license Apache-2.0 · created 2017 · archived · github.com/tensorflow/tensor2tensor

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to tensorflow/tensor2tensor (https://github.com/tensorflow/tensor2tensor), 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#

6 papers in the tracked journals link to the GitHub repository tensorflow/tensor2tensor in their Crossref records, the first in 2023; most of them (2) in 2025.
By category: AI (5) and Management (1); the journals with the most are Neural Computing and Applications (2), Journal of Innovation and Entrepreneurship (1) and Expert Systems with Applications (1).

By year#

20232026

Papers linking to tensorflow/tensor2tensor by publication year
Year	Papers
2023	2
2024	1
2025	2
2026	1

Journals#

Journals whose papers link to tensorflow/tensor2tensor most
Journal	Papers
Neural Computing and Applications	2
Journal of Innovation and Entrepreneurship	1
Expert Systems with Applications	1
Knowledge and Information Systems	1
Journal Of Big Data	1

Papers linking to tensorflow/tensor2tensor, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-07-30	Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning	Expert Systems with Applications	Keerthana Sivamayilvelan, Elakkiya Rajasekar, V. Subramaniyaswamy et al.	28	cites it
2023-09-14	Implementing AIRM: a new AI recruiting model for the Saudi Arabia labour market	Journal of Innovation and Entrepreneurship	Monirah Ali Aleisa, Natalia Beloff, Martin White	17	cites it
2023-06-01	New weighted BERT features and multi-CNN models to enhance the performance of MOOC posts classification	Neural Computing and Applications	Mohamed A. El-Rashidy, Ahmed Farouk, Nawal Ahmed El-Fishawy et al.	11	cites it
2025-12-30	A survey of the state of the art in conversational question answering systems	Knowledge and Information Systems	Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake et al.	1	cites it
2025-09-30	Mining user reviews for method-level bug localization using transformers in java-based applications	Neural Computing and Applications	Nesrine Mansouri, Makram Soui, Marouane Kessentini	0	cites it
2026-01-11	Building an effective chatbot for optimizing the debt collection process through large language models	Journal Of Big Data	Keerthana Sivamayilvelan, R Elakkiya, V. Subramaniyaswamy et al.	0	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/tensor2tensor: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-tensorflow-tensor2tensor

@misc{scholar4ai-code-github-tensorflow-tensor2tensor,
  author = {{Scholar4AI}},
  title = {tensorflow/tensor2tensor: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-tensorflow-tensor2tensor}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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