jacobgil/pytorch-grad-cam: papers linking to it

GitHub · 13,005 stars · 1,714 forks · Python · license MIT · created 2017 · github.com/jacobgil/pytorch-grad-cam

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to jacobgil/pytorch-grad-cam (https://github.com/jacobgil/pytorch-grad-cam), 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#

9 papers in the tracked journals link to the GitHub repository jacobgil/pytorch-grad-cam in their Crossref records, the first in 2022; most of them (5) in 2025.
By category: AI (9); the journals with the most are Knowledge-Based Systems (3), Neural Computing and Applications (2) and Expert Systems with Applications (1).

By year#

20222026

Papers linking to jacobgil/pytorch-grad-cam by publication year
Year	Papers
2022	1
2025	5
2026	3

Journals#

Journals whose papers link to jacobgil/pytorch-grad-cam most
Journal	Papers
Knowledge-Based Systems	3
Neural Computing and Applications	2
Expert Systems with Applications	1
Pattern Recognition	1
Machine Learning	1

Papers linking to jacobgil/pytorch-grad-cam, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-08-21	Adaptive momentum variance for attention-guided sparse adversarial attacks	Pattern Recognition	Chao Li, Wen Yao, Handing Wang et al.	49	cites it
2025-05-16	Evaluation and analysis of visual methods for CNN explainability: a novel approach and experimental study	Neural Computing and Applications	Andrei Dugăeșescu, Adina Magda Florea	7	cites it
2025-11-25	Interpretable Deep Reinforcement Learning Via Concept-Based Policy Distillation	Machine Learning	Yanzhe Bekkemoen, Helge Langseth A	5	cites it
2025-08-12	VCIF: Visually-compelling infrared and visible image fusion under darkness	Knowledge-Based Systems	Chengbang Li, Junchao Zhang, Degui Yang et al.	3	cites it
2025-08-05	Feature analysis for proper intensity scaling and feature distinction in class activation maps	Knowledge-Based Systems	Yanli Li, Denis P. Shamonin, Tahereh Hassanzadeh et al.	2	cites it
2026-02-28	Adversarial threats to vision transformers: evaluating robustness beyond CNNs	Neural Computing and Applications	Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges A	2	cites it
2025-12-29	Learnable mixture distribution prior for image denoising	Knowledge-Based Systems	Zhuoxiao Li, Faqiang Wang, Li Cui et al.	0	cites it
2026-04-03	Real-time analysis of indoor sports game situations through deep learning-based classification	Expert Systems with Applications	Bruno Cabado, Bertha Guijarro‐Berdiñas, Emilio J. Padrón	0	cites it
2026-07-26	Bi-Compatible Task-Agnostic Feature Augmentation for Expansion-Based Class-Incremental Learning	International Journal of Computer Vision	Bowen Zheng, Zijun Shen, Da-Wei Zhou 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). jacobgil/pytorch-grad-cam: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-jacobgil-pytorch-grad-cam

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

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