MrYxJ/calculate-flops.pytorch: papers linking to it

GitHub · 947 stars · 44 forks · Python · license MIT · created 2023 · github.com/MrYxJ/calculate-flops.pytorch

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to MrYxJ/calculate-flops.pytorch (https://github.com/MrYxJ/calculate-flops.pytorch), 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#

4 papers in the tracked journals link to the GitHub repository MrYxJ/calculate-flops.pytorch in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (4); the journals with the most are Applied Intelligence (1), Neural Computing and Applications (1) and Neural Networks (1).

By year#

20252026

Papers linking to MrYxJ/calculate-flops.pytorch by publication year
Year	Papers
2025	2
2026	2

Journals#

Journals whose papers link to MrYxJ/calculate-flops.pytorch most
Journal	Papers
Applied Intelligence	1
Neural Computing and Applications	1
Neural Networks	1
Knowledge-Based Systems	1

Papers linking to MrYxJ/calculate-flops.pytorch, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-07-15	STREAM-Net: Spatio-temporal feature fusion network for robust rPPG signal measurement in remote health monitoring	Knowledge-Based Systems	Muhammad Usman, Milena Sobotka, Jacek Rumiński	4	cites it
2025-08-23	MSFI: Multi-timescale spatio-temporal features integration in spiking neural networks	Neural Networks	Dengfeng Xue, Wenjuan Li, Chunfeng Yuan et al.	1	cites it
2026-02-01	Temporal modeling with reversible transformers	Neural Computing and Applications	Л. Р. Кулик	1	cites it
2026-05-01	Audio–visual segmentation via hierarchical side tuning with state space model	Applied Intelligence	Wenyi Xia, Qingwei Geng, Xiaodong Gu	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). MrYxJ/calculate-flops.pytorch: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-mryxj-calculate-flops-pytorch

@misc{scholar4ai-code-github-mryxj-calculate-flops-pytorch,
  author = {{Scholar4AI}},
  title = {MrYxJ/calculate-flops.pytorch: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-mryxj-calculate-flops-pytorch}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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