ashawkey/torch-ngp: papers linking to it

GitHub · 2,208 stars · 285 forks · Python · license MIT · created 2022 · github.com/ashawkey/torch-ngp

← Code and data repositories cited in research papers

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.

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#

20232026

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	2
Expert Systems with Applications	1

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	International Journal of Computer Vision	Jiaxiang Tang, Kaisiyuan Wang, Hang Zhou et al.	59	cites it
2023-06-16	Pyramid NeRF: Frequency Guided Fast Radiance Field Optimization	International Journal of Computer Vision	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	Expert Systems with Applications	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

@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}
}

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