google-research/bert: papers linking to it

GitHub · 40,034 stars · 9,652 forks · Python · license Apache-2.0 · created 2018 · archived · github.com/google-research/bert

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to google-research/bert (https://github.com/google-research/bert), 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#

7 papers in the tracked journals link to the GitHub repository google-research/bert in their Crossref records, the first in 2020; most of them (2) in 2021.
By category: AI (7); the journals with the most are Expert Systems with Applications (2), Journal Of Big Data (2) and Knowledge-Based Systems (1).

By year#

20202026

Papers linking to google-research/bert by publication year
Year	Papers
2020	2
2021	2
2022	1
2024	1
2026	1

Journals#

Journals whose papers link to google-research/bert most
Journal	Papers
Expert Systems with Applications	2
Journal Of Big Data	2
Knowledge-Based Systems	1
AI & Society	1
Nature Machine Intelligence	1

Papers linking to google-research/bert, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-04-10	Survey on categorical data for neural networks	Journal Of Big Data	John Hancock, Taghi M. Khoshgoftaar	619	cites it
2021-01-28	Mapping the space of chemical reactions using attention-based neural networks	Nature Machine Intelligence	Philippe Schwaller, Daniel Probst, Alain C. Vaucher et al.	362	cites it
2020-08-02	Cross-lingual learning for text processing: A survey	Expert Systems with Applications	Matúš Pikuliak, Marián Šimko, Mária Bieliková	61	cites it
2022-01-31	Natural language based analysis of SQuAD: An analytical approach for BERT	Expert Systems with Applications	Zekeriya Anıl Güven, Murat Osman Ünalır	25	cites it
2021-12-23	CJE-TIG: Zero-shot cross-lingual text-to-image generation by Corpora-based Joint Encoding	Knowledge-Based Systems	Han Zhang, Suyi Yang, Hongqing Zhu	15	cites it
2024-06-05	PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles	Journal Of Big Data	Nouar AlDahoul, Talal Rahwan, Yasir Zaki	6	cites it
2026-08-12	Colonialism in code: linguistic hegemony and epistemic exclusion in large language models	AI & Society	Luhui Gao	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). google-research/bert: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-google-research-bert

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

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