---
title: "google-research/bert: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-google-research-bert
markdown_url: https://scholar4ai.com/code/github-google-research-bert.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# google-research/bert: papers linking to it

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.

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

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

## 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

*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](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 1 |
| [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 |

## Papers

*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](https://doi.org/10.1186/s40537-020-00305-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | John Hancock, Taghi M. Khoshgoftaar | 619 | cites it |
| 2021-01-28 | [Mapping the space of chemical reactions using attention-based neural networks](https://doi.org/10.1038/s42256-020-00284-w) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Philippe Schwaller, Daniel Probst, Alain C. Vaucher et al. | 362 | cites it |
| 2020-08-02 | [Cross-lingual learning for text processing: A survey](https://doi.org/10.1016/j.eswa.2020.113765) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Matúš Pikuliak, Marián Šimko, Mária Bieliková | 61 | cites it |
| 2022-01-31 | [Natural language based analysis of SQuAD: An analytical approach for BERT](https://doi.org/10.1016/j.eswa.2022.116592) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.knosys.2021.108006) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1186/s40537-024-00946-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Nouar AlDahoul, Talal Rahwan, Yasir Zaki | 6 | cites it |
| 2026-08-12 | [Colonialism in code: linguistic hegemony and epistemic exclusion in large language models](https://doi.org/10.1007/s00146-026-03184-6) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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

```bibtex
@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}
}
```

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