---
title: "puneet6060/intel-image-classification: papers citing it"
description: "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."
url: https://scholar4ai.com/code/kaggle-puneet6060-intel-image-classification
markdown_url: https://scholar4ai.com/code/kaggle-puneet6060-intel-image-classification.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 Kaggle dataset puneet6060/intel-image-classification in their Crossref records, the first in 2020; most of them (3) in 2023. (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)
---

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

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.

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

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

## 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

*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](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [International Journal of Research in Marketing](https://scholar4ai.com/journals/international-journal-of-research-in-marketing.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.eswa.2021.116114) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.knosys.2022.110247) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1016/j.eswa.2021.115877) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Sijin Ren, Cheryl Q. Li | 24 | cites it |
| 2020-10-30 | [Detecting unusual input to neural networks](https://doi.org/10.1007/s10489-020-01925-8) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Jörg Martin, Clemens Elster | 6 | cites it |
| 2023-03-30 | [Multi-output incremental back-propagation](https://doi.org/10.1007/s00521-023-08490-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1016/j.ijresmar.2026.01.001) | [International Journal of Research in Marketing](https://scholar4ai.com/journals/international-journal-of-research-in-marketing.md) | Maximilian Witte, Mark Heitmann, Jochen Hartmann et al. | 3 | cites it |
| 2023-12-13 | [ECOPICA: empirical copula-based independent component analysis](https://doi.org/10.1007/s11222-023-10368-3) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).