chaofengc/IQA-PyTorch: papers linking to it

GitHub · 3,438 stars · 263 forks · Python · created 2021 · github.com/chaofengc/IQA-PyTorch

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to chaofengc/IQA-PyTorch (https://github.com/chaofengc/IQA-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#

5 papers in the tracked journals link to the GitHub repository chaofengc/IQA-PyTorch in their Crossref records, the first in 2025; most of them (3) in 2026.
By category: AI (5); the journals with the most are Expert Systems with Applications (2), Neural Networks (1) and Pattern Recognition (1).

By year#

20252026

Papers linking to chaofengc/IQA-PyTorch by publication year
Year	Papers
2025	2
2026	3

Journals#

Journals whose papers link to chaofengc/IQA-PyTorch most
Journal	Papers
Expert Systems with Applications	2
Neural Networks	1
Pattern Recognition	1
International Journal of Computer Vision	1

Papers linking to chaofengc/IQA-PyTorch, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-07-24	Towards lightest low-light image enhancement architecture for mobile devices	Expert Systems with Applications	Guangrui Bai, Hailong Yan, Wenhai Liu et al.	8	cites it
2025-12-06	Prompt-oriented and frequency-regularized schrödinger bridge for unpaired rain streaks and raindrops removal	Pattern Recognition	Yuanbo Wen, Jing Qin, Ting Chen et al.	4	cites it
2026-04-14	A wavelet-guided and physics-aware network for remote sensing image dehazing	Expert Systems with Applications	Q Zhang, Ting Chen, Tao Gao et al.	1	cites it
2026-04-14	Restoration Adaptation for Semantic Segmentation on Low Quality Images	International Journal of Computer Vision	Kai Guan, Rongyuan Wu, Shuai Li et al.	1	cites it
2026-04-30	Delving into the adversarial robustness of semantic segmentation with decision-based black-box attacks	Neural Networks	Zhaoyu Chen, Zhengyang Shan, Jingwen Chang 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). chaofengc/IQA-PyTorch: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-chaofengc-iqa-pytorch

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).