PaddlePaddle/PaddleNLP: papers linking to it

GitHub · 12,985 stars · 3,019 forks · Python · license Apache-2.0 · created 2021 · github.com/PaddlePaddle/PaddleNLP

← Code and data repositories cited in research papers

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.

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#

20242026

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	1
Neural Computing and Applications	1
Information Processing & Management	1
Knowledge and Information Systems	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

DLEE: a dataset for Chinese document-level legal event extraction Neural Computing and Applications, 2024
- Survey on legal information extraction: current status and open challenges Knowledge and Information Systems, 2025 — cites the paper above

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	Knowledge and Information Systems	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	Scientometrics	Tingting Wei, Danyu Feng, Shiling Song et al.	11	cites it
2024-05-16	DLEE: a dataset for Chinese document-level legal event extraction	Neural Computing and Applications	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	Information Processing & Management	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

@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}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).