---
title: "sovrasov/flops-counter.pytorch: papers citing it"
description: "7 papers in the tracked journals link to the GitHub repository sovrasov/flops-counter.pytorch in their Crossref records, the first in 2024; most of them (4) in 2025."
url: https://scholar4ai.com/code/github-sovrasov-flops-counter-pytorch
markdown_url: https://scholar4ai.com/code/github-sovrasov-flops-counter-pytorch.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to the GitHub repository sovrasov/flops-counter.pytorch in their Crossref records, the first in 2024; most of them (4) 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)
---

# sovrasov/flops-counter.pytorch: papers linking to it

Research papers in the 480 tracked journals that link to sovrasov/flops-counter.pytorch (https://github.com/sovrasov/flops-counter.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.

- GitHub
- 2,984 stars
- 307 forks
- Python
- license MIT
- created 2018
- https://github.com/sovrasov/flops-counter.pytorch

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

## Key findings

- 7 papers in the tracked journals link to the GitHub repository sovrasov/flops-counter.pytorch in their Crossref records, the first in 2024; most of them (4) in 2025.
- By category: AI (7); the journals with the most are Machine Learning (2), Neural Computing and Applications (2) and Expert Systems with Applications (1).

## By year

*Papers linking to sovrasov/flops-counter.pytorch by publication year*

| Year | Papers |
|---|---:|
| 2024 | 3 |
| 2025 | 4 |

## Journals

*Journals whose papers link to sovrasov/flops-counter.pytorch most*

| Journal | Papers |
|---|---:|
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2 |
| [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 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |

## Papers

*Papers linking to sovrasov/flops-counter.pytorch, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-03-02 | [Yaru3DFPN: a lightweight modified 3D UNet with feature pyramid network and combine thresholding for brain tumor segmentation](https://doi.org/10.1007/s00521-024-09475-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati et al. | 23 | cites it |
| 2024-05-27 | [Dual-Stream CoAtNet models for accurate breast ultrasound image segmentation](https://doi.org/10.1007/s00521-024-09963-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Nadeem Zaidkilani, Miguel Ángel García, Domènec Puig | 10 | cites it |
| 2024-04-01 | [Privacy-preserving visual analysis: training video obfuscation models without sensitive labels](https://doi.org/10.1007/s10489-024-05489-9) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Sander De Coninck, Wei-Cheng Wang, Sam Leroux et al. | 8 | cites it |
| 2025-02-20 | [Nettop: A light-weight network of orthogonal-plane features for image recognition](https://doi.org/10.1007/s10994-024-06672-2) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Thanh Tuan Nguyen, Thanh Phương Nguyễn | 4 | cites it |
| 2025-03-21 | [$$A^{2}$$DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain](https://doi.org/10.1007/s12559-025-10442-0) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Haoran Li, Fan Feng, Jiarong Kang et al. | 4 | cites it |
| 2025-09-10 | [Composite human activity recognition utilizing knowledge distillation and sensor fusion focusing on resource constrained microcontrollers](https://doi.org/10.1016/j.eswa.2025.129652) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Athar Noor Mohammad Rafee, John Clear, Jannatun Noor | 2 | cites it |
| 2025-03-25 | [Online dimensionality reduction through stacked generalization of spectral methods with deep networks](https://doi.org/10.1007/s10994-024-06715-8) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Juan Carlos Alvarado‐Pérez, Miguel Ángel García, Domènec Puig | 1 | 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). sovrasov/flops-counter.pytorch: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-sovrasov-flops-counter-pytorch

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