UdayLab/PAMI: papers linking to it

GitHub · 296 stars · 262 forks · Jupyter Notebook · license GPL-3.0 · created 2021 · github.com/UdayLab/PAMI

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to UdayLab/PAMI (https://github.com/UdayLab/PAMI), 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 GitHub repository UdayLab/PAMI in their Crossref records, the first in 2023; most of them (3) in 2023.
By category: AI (3); the journals with the most are Applied Intelligence (3).

By year#

20232023

Papers linking to UdayLab/PAMI by publication year
Year	Papers
2023	3

Journals#

Journals whose papers link to UdayLab/PAMI most
Journal	Papers
Applied Intelligence	3

Papers linking to UdayLab/PAMI, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-12-16	3P-ECLAT: mining partial periodic patterns in columnar temporal databases	Applied Intelligence	Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar et al.	12	cites it
2023-03-11	HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases	Applied Intelligence	Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar et al.	5	cites it
2023-09-07	A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases	Applied Intelligence	Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar et al.	5	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). UdayLab/PAMI: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-udaylab-pami

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

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