puneet6060/intel-image-classification: papers linking to it

Kaggle · www.kaggle.com/datasets/puneet6060/intel-image-classification

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to puneet6060/intel-image-classification (https://www.kaggle.com/datasets/puneet6060/intel-image-classification), 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#

7 papers in the tracked journals link to the Kaggle dataset puneet6060/intel-image-classification in their Crossref records, the first in 2020; most of them (3) in 2023.
By category: AI (5), Marketing (1) and Statistics (1); the journals with the most are Expert Systems with Applications (2), International Journal of Research in Marketing (1) and Knowledge-Based Systems (1).

By year#

20202026

Papers linking to puneet6060/intel-image-classification by publication year
Year	Papers
2020	1
2021	2
2023	3
2026	1

Journals#

Journals whose papers link to puneet6060/intel-image-classification most
Journal	Papers
Expert Systems with Applications	2
International Journal of Research in Marketing	1
Knowledge-Based Systems	1
Neural Computing and Applications	1
Statistics and Computing	1

Papers linking to puneet6060/intel-image-classification, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-10-26	Attention based CNN model for fire detection and localization in real-world images	Expert Systems with Applications	Saima Majid, Fayadh S. Alenezi, Sarfaraz Masood et al.	256	cites it
2023-01-05	Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement	Knowledge-Based Systems	Benedict Jun Ma, João Luiz Junho Pereira, Diego A. Oliva et al.	36	cites it
2021-09-09	Robustness of transfer learning to image degradation	Expert Systems with Applications	Sijin Ren, Cheryl Q. Li	24	cites it
2020-10-30	Detecting unusual input to neural networks	Applied Intelligence	Jörg Martin, Clemens Elster	6	cites it
2023-03-30	Multi-output incremental back-propagation	Neural Computing and Applications	Rachana Chaudhari, Dhwani Agarwal, Kritika Ravishankar et al.	5	cites it
2026-01-11	Language of images: Classifying marketing images with transformers and vision language models	International Journal of Research in Marketing	Maximilian Witte, Mark Heitmann, Jochen Hartmann et al.	3	cites it
2023-12-13	ECOPICA: empirical copula-based independent component analysis	Statistics and Computing	Hung-Kai Pi, Meihui Guo, Ray‐Bing Chen et al.	2	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). puneet6060/intel-image-classification: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-puneet6060-intel-image-classification

@misc{scholar4ai-code-kaggle-puneet6060-intel-image-classification,
  author = {{Scholar4AI}},
  title = {puneet6060/intel-image-classification: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-puneet6060-intel-image-classification}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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