---
title: "tensorflow/tensor2tensor: papers citing it"
description: "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."
url: https://scholar4ai.com/code/github-tensorflow-tensor2tensor
markdown_url: https://scholar4ai.com/code/github-tensorflow-tensor2tensor.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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/tensor2tensor: papers linking to it

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.

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

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

## 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

*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](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Journal of Innovation and Entrepreneurship](https://scholar4ai.com/journals/journal-of-innovation-and-entrepreneurship.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.eswa.2024.124951) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1186/s13731-023-00324-w) | [Journal of Innovation and Entrepreneurship](https://scholar4ai.com/journals/journal-of-innovation-and-entrepreneurship.md) | 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](https://doi.org/10.1007/s00521-023-08673-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s10115-025-02620-1) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 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](https://doi.org/10.1007/s00521-025-11611-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1186/s40537-025-01351-y) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 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

```bibtex
@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}
}
```

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