---
title: "ashawkey/torch-ngp: papers citing this GitHub repository"
description: "3 papers in the tracked journals link to the GitHub repository ashawkey/torch-ngp in their Crossref records, the first in 2023; most of them (1) in 2026."
url: https://scholar4ai.com/code/github-ashawkey-torch-ngp
markdown_url: https://scholar4ai.com/code/github-ashawkey-torch-ngp.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 ashawkey/torch-ngp in their Crossref records, the first in 2023; most of them (1) in 2026. (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)
---

# ashawkey/torch-ngp: papers linking to it

Research papers in the 480 tracked journals that link to ashawkey/torch-ngp (https://github.com/ashawkey/torch-ngp), 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
- 2,208 stars
- 285 forks
- Python
- license MIT
- created 2022
- https://github.com/ashawkey/torch-ngp

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository ashawkey/torch-ngp in their Crossref records, the first in 2023; most of them (1) in 2026.
- By category: AI (3); the journals with the most are International Journal of Computer Vision (2) and Expert Systems with Applications (1).

## By year

*Papers linking to ashawkey/torch-ngp by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to ashawkey/torch-ngp most*

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

## Papers

*Papers linking to ashawkey/torch-ngp, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-06-05 | [Real-Time Neural Radiance Talking Portrait Synthesis via Audio-Spatial Decomposition](https://doi.org/10.1007/s11263-025-02481-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Jiaxiang Tang, Kaisiyuan Wang, Hang Zhou et al. | 59 | cites it |
| 2023-06-16 | [Pyramid NeRF: Frequency Guided Fast Radiance Field Optimization](https://doi.org/10.1007/s11263-023-01829-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Junyu Zhu, Hao Zhu, Qi Zhang et al. | 18 | cites it |
| 2026-06-06 | [Neural fusion and rendering of multidimensional light field for holographic stereogram](https://doi.org/10.1016/j.eswa.2026.133087) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Hebin Chang, Yu Chul Yang, Yanan 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). ashawkey/torch-ngp: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ashawkey-torch-ngp

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