---
title: "vipoooool/new-plant-diseases-dataset: papers citing it"
description: "4 papers in the tracked journals link to the Kaggle dataset vipoooool/new-plant-diseases-dataset in their Crossref records, the first in 2021; most of them (2) in 2024."
url: https://scholar4ai.com/code/kaggle-vipoooool-new-plant-diseases-dataset
markdown_url: https://scholar4ai.com/code/kaggle-vipoooool-new-plant-diseases-dataset.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the Kaggle dataset vipoooool/new-plant-diseases-dataset in their Crossref records, the first in 2021; most of them (2) in 2024. (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)
---

# vipoooool/new-plant-diseases-dataset: papers linking to it

Research papers in the 480 tracked journals that link to vipoooool/new-plant-diseases-dataset (https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset), 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/vipoooool/new-plant-diseases-dataset

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset vipoooool/new-plant-diseases-dataset in their Crossref records, the first in 2021; most of them (2) in 2024.
- By category: AI (4); the journals with the most are Cognitive Computation (1), Expert Systems with Applications (1) and Neural Computing and Applications (1).

## By year

*Papers linking to vipoooool/new-plant-diseases-dataset by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2024 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to vipoooool/new-plant-diseases-dataset most*

| Journal | Papers |
|---|---:|
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

## Papers

*Papers linking to vipoooool/new-plant-diseases-dataset, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-02-21 | [Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture](https://doi.org/10.1016/j.eswa.2024.123468) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | T. Akilan, K. M. Baalamurugan | 75 | cites it |
| 2021-09-01 | [Multilevel thresholding segmentation of color plant disease images using metaheuristic optimization algorithms](https://doi.org/10.1007/s00521-021-06437-1) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Rüştü Akay, Radhwan A. A. Saleh, Shawqi Mohammed Farea et al. | 26 | cites it |
| 2024-07-22 | [An adaptive and late multifusion framework in contextual representation based on evidential deep learning and Dempster–Shafer theory](https://doi.org/10.1007/s10115-024-02150-2) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Doaa Mohey El-Din, Aboul Ella Hassanein, Ehab E. Hassanien | 13 | cites it |
| 2025-11-01 | [Auto-Encoded Attention Artificial Protozoa Convolutional Neural Networks with Few-Shot Learning for Plant Disease Detection](https://doi.org/10.1007/s12559-025-10514-1) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Binal Upadhyay, Amit P Ganatra | 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). vipoooool/new-plant-diseases-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-vipoooool-new-plant-diseases-dataset

```bibtex
@misc{scholar4ai-code-kaggle-vipoooool-new-plant-diseases-dataset,
  author = {{Scholar4AI}},
  title = {vipoooool/new-plant-diseases-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-vipoooool-new-plant-diseases-dataset}},
  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/).