Hyrank Hyperspectral Satellite Dataset I: papers linking to it

Zenodo · Dataset · 2018 · doi.org/10.5281/zenodo.1222202

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Hyrank Hyperspectral Satellite Dataset I (https://doi.org/10.5281/zenodo.1222202), 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 Zenodo dataset Hyrank Hyperspectral Satellite Dataset I in their Crossref records, the first in 2022; most of them (2) in 2025.
By category: AI (3); the journals with the most are Neural Networks (1), Pattern Recognition (1) and Applied Intelligence (1).

By year#

20222025

Papers linking to Hyrank Hyperspectral Satellite Dataset I by publication year
Year	Papers
2022	1
2025	2

Journals#

Journals whose papers link to Hyrank Hyperspectral Satellite Dataset I most
Journal	Papers
Neural Networks	1
Pattern Recognition	1
Applied Intelligence	1

Papers linking to Hyrank Hyperspectral Satellite Dataset I, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-01-23	Advances in deep neural network-based hyperspectral image classification and feature learning with limited samples: a survey	Applied Intelligence	Farhan Ullah, Irfan Ullah, Khalil Khan et al.	37	cites it
2022-10-07	IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images	Pattern Recognition	Dalal AL-Alimi, Mohammed A. A. Al‐qaness, Zhihua Cai et al.	23	cites it
2025-03-14	Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification	Neural Networks	Qin Xu, Shuke Wang, Jie Wei et al.	4	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). Hyrank Hyperspectral Satellite Dataset I: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-1222202

@misc{scholar4ai-code-zenodo-1222202,
  author = {{Scholar4AI}},
  title = {Hyrank Hyperspectral Satellite Dataset I: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-1222202}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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