---
title: "Blealtan/efficient-kan: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository Blealtan/efficient-kan in their Crossref records, the first in 2025; most of them (3) in 2025."
url: https://scholar4ai.com/code/github-blealtan-efficient-kan
markdown_url: https://scholar4ai.com/code/github-blealtan-efficient-kan.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository Blealtan/efficient-kan in their Crossref records, the first in 2025; most of them (3) in 2025. (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)
---

# Blealtan/efficient-kan: papers linking to it

Research papers in the 480 tracked journals that link to Blealtan/efficient-kan (https://github.com/Blealtan/efficient-kan), 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
- 4,662 stars
- 415 forks
- Python
- license MIT
- created 2024
- https://github.com/Blealtan/efficient-kan

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository Blealtan/efficient-kan in their Crossref records, the first in 2025; most of them (3) in 2025.
- By category: AI (3); the journals with the most are Neural Networks (2) and Expert Systems with Applications (1).

## By year

*Papers linking to Blealtan/efficient-kan by publication year*

| Year | Papers |
|---|---:|
| 2025 | 3 |

## Journals

*Journals whose papers link to Blealtan/efficient-kan most*

| Journal | Papers |
|---|---:|
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Papers

*Papers linking to Blealtan/efficient-kan, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-07-19 | [LeanKAN: a parameter-lean Kolmogorov-Arnold network layer with improved memory efficiency and convergence behavior](https://doi.org/10.1016/j.neunet.2025.107883) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Benjamin C. Koenig, Suyong Kim, Sili Deng | 14 | cites it |
| 2025-01-26 | [Incremental energy-based recurrent transformer-KAN for time series deformation simulation of soft tissue](https://doi.org/10.1016/j.eswa.2025.126619) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Jiaxi Jiang, Tianyu Fu, Jiaqi Liu et al. | 12 | cites it |
| 2025-11-03 | [asKAN: Active subspace embedded Kolmogorov-Arnold network](https://doi.org/10.1016/j.neunet.2025.108280) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Zhiteng Zhou, Zhaoyue Xu, Yi Liu et al. | 3 | 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). Blealtan/efficient-kan: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-blealtan-efficient-kan

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