---
title: "ThilinaRajapakse/simpletransformers: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository ThilinaRajapakse/simpletransformers in their Crossref records, the first in 2021; most of them (2) in 2021."
url: https://scholar4ai.com/code/github-thilinarajapakse-simpletransformers
markdown_url: https://scholar4ai.com/code/github-thilinarajapakse-simpletransformers.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 ThilinaRajapakse/simpletransformers in their Crossref records, the first in 2021; most of them (2) in 2021. (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)
---

# ThilinaRajapakse/simpletransformers: papers linking to it

Research papers in the 480 tracked journals that link to ThilinaRajapakse/simpletransformers (https://github.com/ThilinaRajapakse/simpletransformers), 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
- 4,257 stars
- 709 forks
- Python
- license Apache-2.0
- created 2019
- https://github.com/ThilinaRajapakse/simpletransformers

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository ThilinaRajapakse/simpletransformers in their Crossref records, the first in 2021; most of them (2) in 2021.
- By category: Information Systems (1), Higher Education and Research (1) and AI (1); the journals with the most are Information Systems Frontiers (1), Scientometrics (1) and Neural Computing and Applications (1).

## By year

*Papers linking to ThilinaRajapakse/simpletransformers by publication year*

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2024 | 1 |

## Journals

*Journals whose papers link to ThilinaRajapakse/simpletransformers most*

| Journal | Papers |
|---|---:|
| [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 1 |
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*Papers linking to ThilinaRajapakse/simpletransformers, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-12-17 | [PatentNet: multi-label classification of patent documents using deep learning based language understanding](https://doi.org/10.1007/s11192-021-04179-4) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Arousha Haghighian Roudsari, Jafar Afshar, Wookey Lee et al. | 93 | cites it |
| 2021-10-29 | [Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions](https://doi.org/10.1007/s00521-021-06614-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ramya Tekumalla, Juan M. Banda | 19 | cites it |
| 2024-09-24 | [Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic Comments](https://doi.org/10.1007/s10796-024-10540-8) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | Szu‐Yin Lin, Shih-Yi James Chien, Yi-Zhen Chen et al. | 6 | 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). ThilinaRajapakse/simpletransformers: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-thilinarajapakse-simpletransformers

```bibtex
@misc{scholar4ai-code-github-thilinarajapakse-simpletransformers,
  author = {{Scholar4AI}},
  title = {ThilinaRajapakse/simpletransformers: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-thilinarajapakse-simpletransformers}},
  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/).