---
title: "PaddlePaddle/PaddleNLP: papers citing it"
description: "4 papers in the tracked journals link to the GitHub repository PaddlePaddle/PaddleNLP in their Crossref records, the first in 2024; most of them (2) in 2024."
url: https://scholar4ai.com/code/github-paddlepaddle-paddlenlp
markdown_url: https://scholar4ai.com/code/github-paddlepaddle-paddlenlp.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the GitHub repository PaddlePaddle/PaddleNLP in their Crossref records, the first in 2024; most of them (2) in 2024. (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)
---

# PaddlePaddle/PaddleNLP: papers linking to it

Research papers in the 480 tracked journals that link to PaddlePaddle/PaddleNLP (https://github.com/PaddlePaddle/PaddleNLP), 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
- 12,985 stars
- 3,019 forks
- Python
- license Apache-2.0
- created 2021
- https://github.com/PaddlePaddle/PaddleNLP

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

## Key findings

- 4 papers in the tracked journals link to the GitHub repository PaddlePaddle/PaddleNLP in their Crossref records, the first in 2024; most of them (2) in 2024.
- By category: AI (3) and Higher Education and Research (1); the journals with the most are Scientometrics (1), Neural Computing and Applications (1) and Information Processing & Management (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links PaddlePaddle/PaddleNLP.

## By year

*Papers linking to PaddlePaddle/PaddleNLP by publication year*

| Year | Papers |
|---|---:|
| 2024 | 2 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to PaddlePaddle/PaddleNLP most*

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [DLEE: a dataset for Chinese document-level legal event extraction](https://doi.org/10.1007/s00521-024-09907-4) (Neural Computing and Applications, 2024)
  - [Survey on legal information extraction: current status and open challenges](https://doi.org/10.1007/s10115-025-02600-5) (Knowledge and Information Systems, 2025) — cites the paper above

## Papers

*Papers linking to PaddlePaddle/PaddleNLP, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-10-10 | [Survey on legal information extraction: current status and open challenges](https://doi.org/10.1007/s10115-025-02600-5) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov et al. | 17 | cites it |
| 2024-05-10 | [An extraction and novelty evaluation framework for technology knowledge elements of patents](https://doi.org/10.1007/s11192-024-04990-9) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Tingting Wei, Danyu Feng, Shiling Song et al. | 11 | cites it |
| 2024-05-16 | [DLEE: a dataset for Chinese document-level legal event extraction](https://doi.org/10.1007/s00521-024-09907-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Guochuan Xian, Siyuan Du, Xi Tang et al. | 2 | cites it |
| 2026-01-12 | [CEREM: A segment-wise attention network for chinese highly aggregated semantic extraction](https://doi.org/10.1016/j.ipm.2026.104617) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Bin Liu, Jiaqi Han, Zhenyu Zhang 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). PaddlePaddle/PaddleNLP: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-paddlepaddle-paddlenlp

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