Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

8080labs/ppscore: zenodo release: papers linking to it

Zenodo · Software · 2020 · archives github.com/8080labs/ppscore · doi.org/10.5281/zenodo.4091345

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to 8080labs/ppscore: zenodo release (https://doi.org/10.5281/zenodo.4091345), 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.

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Key findings#

  • 3 papers in the tracked journals link to the Zenodo dataset 8080labs/ppscore: zenodo release in their Crossref records, the first in 2020; most of them (2) in 2025.
  • By category: Operations Research (1), Management (1) and AI (1); the journals with the most are Central European Journal of Operations Research (1), Journal of Open Innovation Technology Market and Complexity (1) and Expert Systems with Applications (1).
  • It is a Zenodo archive of 8080labs/ppscore, which other papers here link to as well.

By year#

2020: 1 paper2025: 2 papers
20202025
Papers linking to 8080labs/ppscore: zenodo release by publication year
YearPapers
20201
20252

Journals#

Journals whose papers link to 8080labs/ppscore: zenodo release most
JournalPapers
Central European Journal of Operations Research1
Journal of Open Innovation Technology Market and Complexity1
Expert Systems with Applications1
Linked repositories 8080labs/ppscore: zenodo release derives from or that derive from it
RepositoryRelationPapers
8080labs/ppscore8080labs/ppscore: zenodo release is its Zenodo archive1
Papers linking to 8080labs/ppscore: zenodo release, most cited first
PublishedTitleJournalAuthorsCitationsLink
2020-12-24The cognitive ability and working memory framework: Interpreting cognitive reflection test results in the domain of the cognitive experiential theoryCentral European Journal of Operations ResearchAyşegül Engin16cites it
2025-06-20Novel engine fault diagnosis framework based on machine learning and MiniRocket feature extraction using multi-correlation feature selection and predictive power scoreExpert Systems with ApplicationsLucas de Azevedo Takara, Viviana Cocco Mariani, Leandro dos Santos Coelho12cites it
2025-03-11Investigating banks’ social media content and consumer reactions with machine learningJournal of Open Innovation Technology Market and ComplexityNóra Julianna Gombos, Artúr Vlaszov, Szilvia Bíró-Szigeti et al.2cites 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). 8080labs/ppscore: zenodo release: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-4091345

@misc{scholar4ai-code-zenodo-4091345,
  author = {{Scholar4AI}},
  title = {8080labs/ppscore: zenodo release: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-4091345}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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