---
title: "google-research/google-research: papers citing it"
description: "4 papers in the tracked journals link to the GitHub repository google-research/google-research in their Crossref records, the first in 2022; most of them (2) in 2022."
url: https://scholar4ai.com/code/github-google-research-google-research
markdown_url: https://scholar4ai.com/code/github-google-research-google-research.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 google-research/google-research in their Crossref records, the first in 2022; most of them (2) in 2022. (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/google-research: papers linking to it

Research papers in the 480 tracked journals that link to google-research/google-research (https://github.com/google-research/google-research), 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
- 39,098 stars
- 8,495 forks
- Jupyter Notebook
- license Apache-2.0
- created 2018
- https://github.com/google-research/google-research

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

## Key findings

- 4 papers in the tracked journals link to the GitHub repository google-research/google-research in their Crossref records, the first in 2022; most of them (2) in 2022.
- By category: AI (4); the journals with the most are Neural Computing and Applications (2), Expert Systems with Applications (1) and International Journal of Computer Vision (1).

## By year

*Papers linking to google-research/google-research by publication year*

| Year | Papers |
|---|---:|
| 2022 | 2 |
| 2024 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to google-research/google-research most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |

## Papers

*Papers linking to google-research/google-research, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-05-19 | [Automatic detection of Long Method and God Class code smells through neural source code embeddings](https://doi.org/10.1016/j.eswa.2022.117607) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Aleksandar Kovačević, Јелена Сливка, Dragan Vidaković et al. | 81 | cites it |
| 2022-01-22 | [Learning 3D Semantic Scene Graphs with Instance Embeddings](https://doi.org/10.1007/s11263-021-01546-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Johanna Wald, Nassir Navab, Federico Tombari | 33 | cites it |
| 2024-12-16 | [CM-MLP: hybrid convmixer-deep MLP architecture for enhanced identification of corn and apple leaf diseases](https://doi.org/10.1007/s00521-024-10774-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Li-Hua Li, Radius Tanone | 4 | cites it |
| 2026-03-01 | [Distribution shift, generalization and OOD challenge in offline reinforcement learning: a comprehensive survey](https://doi.org/10.1007/s00521-026-11966-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ali Riahi Samani, Xujiang Zhao, Feng Chen | 4 | 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/google-research: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-google-research-google-research

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