---
title: "Data for: Identification of Plant Leaf Diseases Using a…"
description: "5 papers in the tracked journals link to the Mendeley Data dataset Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network in their Crossref records, the first in 2022; most of them (2) in 2022."
url: https://scholar4ai.com/code/mendeley-tywbtsjrjv
markdown_url: https://scholar4ai.com/code/mendeley-tywbtsjrjv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to the Mendeley Data dataset Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network in their Crossref records, the first in 2022; most of… (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)
---

# Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network: papers linking to it

Research papers in the 480 tracked journals that link to Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network (https://data.mendeley.com/datasets/tywbtsjrjv), 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.

- Mendeley Data
- Dataset
- 2019
- https://data.mendeley.com/datasets/tywbtsjrjv

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

## Key findings

- 5 papers in the tracked journals link to the Mendeley Data dataset Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network in their Crossref records, the first in 2022; most of them (2) in 2022.
- By category: AI (5); the journals with the most are Neural Computing and Applications (4) and Expert Systems with Applications (1).

## By year

*Papers linking to Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network by publication year*

| Year | Papers |
|---|---:|
| 2022 | 2 |
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 4 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Papers

*Papers linking to Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-10-17 | [An optimal hybrid multiclass SVM for plant leaf disease detection using spatial Fuzzy C-Means model](https://doi.org/10.1016/j.eswa.2022.118989) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Santosh Kumar Sahu, Manish Pandey | 160 | cites it |
| 2022-07-04 | [Leaf species and disease classification using multiscale parallel deep CNN architecture](https://doi.org/10.1007/s00521-022-07521-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Newlin Shebiah Russel, Arivazhagan Selvaraj | 80 | cites it |
| 2023-03-28 | [EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction](https://doi.org/10.1007/s00521-023-08289-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | C Ashwini, V. Sellam | 21 | cites it |
| 2025-04-09 | [An efficient deep learning model for early disease detection in vegetable crops](https://doi.org/10.1007/s00521-025-11179-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Amit Bhola, Prabhat Kumar | 1 | cites it |
| 2026-02-01 | [Smart green Guardian: leveraging transfer learning for early plant disease detection in kitchen gardens](https://doi.org/10.1007/s00521-025-11796-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Megha Singh Chauhan, K. Srinivas, A. Charan Kumari | 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). Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-tywbtsjrjv

```bibtex
@misc{scholar4ai-code-mendeley-tywbtsjrjv,
  author = {{Scholar4AI}},
  title = {Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-tywbtsjrjv}},
  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/).