Rice Leaf Disease Image Samples: papers linking to it

Mendeley Data · Dataset · 2020 · data.mendeley.com/datasets/fwcj7stb8r

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Rice Leaf Disease Image Samples (https://data.mendeley.com/datasets/fwcj7stb8r), 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 Mendeley Data dataset Rice Leaf Disease Image Samples in their Crossref records, the first in 2024; most of them (2) in 2024.
By category: AI (3); the journals with the most are Neural Computing and Applications (3).

By year#

20242025

Papers linking to Rice Leaf Disease Image Samples by publication year
Year	Papers
2024	2
2025	1

Journals#

Journals whose papers link to Rice Leaf Disease Image Samples most
Journal	Papers
Neural Computing and Applications	3

Papers linking to Rice Leaf Disease Image Samples, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-11-18	Image-based rice leaf disease detection using CNN and generative adversarial network	Neural Computing and Applications	Syed Taha Yeasin Ramadan, Md Shafiqul Islam, Tanjim Sakib et al.	27	cites it
2024-09-17	PLD-Det: plant leaf disease detection in real time using an end-to-end neural network approach based on improved YOLOv7	Neural Computing and Applications	Md Humaion Kabir Mehedi, Nafisa Nawer, Shafi Ahmed et al.	17	cites it
2025-03-12	Deep learning for recognition and detection of plant diseases and pests	Neural Computing and Applications	Xiang Yue, Kai Qi, Xinyi Na et al.	11	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). Rice Leaf Disease Image Samples: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-fwcj7stb8r

@misc{scholar4ai-code-mendeley-fwcj7stb8r,
  author = {{Scholar4AI}},
  title = {Rice Leaf Disease Image Samples: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-fwcj7stb8r}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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