emmarex/plantdisease: papers linking to it

Kaggle · www.kaggle.com/datasets/emmarex/plantdisease

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to emmarex/plantdisease (https://www.kaggle.com/datasets/emmarex/plantdisease), 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#

3 papers in the tracked journals link to the Kaggle dataset emmarex/plantdisease in their Crossref records, the first in 2024; most of them (1) in 2026.
By category: AI (3); the journals with the most are Cognitive Computation (1), Expert Systems with Applications (1) and Neural Computing and Applications (1).

By year#

20242026

Papers linking to emmarex/plantdisease by publication year
Year	Papers
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to emmarex/plantdisease most
Journal	Papers
Cognitive Computation	1
Expert Systems with Applications	1
Neural Computing and Applications	1

Papers linking to emmarex/plantdisease, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-09-21	Infield disease detection in citrus plants: integrating semantic segmentation and dynamic deep learning object detection model for enhanced agricultural yield	Neural Computing and Applications	N. Shobha Rani, Arun Sri Krishna, M. Sunag et al.	11	cites it
2026-01-18	Blockedge: Blockchain-based cloud-edge-end collaborative computing with optimized task offloading	Expert Systems with Applications	Haotian Yang, Jun Dai, Xiao Chen et al.	2	cites it
2025-11-01	Auto-Encoded Attention Artificial Protozoa Convolutional Neural Networks with Few-Shot Learning for Plant Disease Detection	Cognitive Computation	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). emmarex/plantdisease: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-emmarex-plantdisease

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

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