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

gkbrk/slowloris: papers linking to it

GitHub · 2,845 stars · 731 forks · Python · license MIT · created 2015 · github.com/gkbrk/slowloris

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to gkbrk/slowloris (https://github.com/gkbrk/slowloris), 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#

  • 6 papers in the tracked journals link to the GitHub repository gkbrk/slowloris in their Crossref records, the first in 2019; most of them (3) in 2019.
  • By category: AI (5) and Information Systems (1); the journals with the most are Journal Of Big Data (4), Information Systems Frontiers (1) and Expert Systems with Applications (1).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links gkbrk/slowloris.

By year#

2019: 3 papers2020: 2 papers2025: 1 paper
20192025
Papers linking to gkbrk/slowloris by publication year
YearPapers
20193
20202
20251

Journals#

Journals whose papers link to gkbrk/slowloris most
JournalPapers
Journal Of Big Data4
Information Systems Frontiers1
Expert Systems with Applications1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to gkbrk/slowloris, most cited first
PublishedTitleJournalAuthorsCitationsLink
2019-11-30Severely imbalanced Big Data challenges: investigating data sampling approachesJournal Of Big DataTawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy et al.143cites it
2020-06-21The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big DataInformation Systems FrontiersJustin M. Johnson, Taghi M. Khoshgoftaar79cites it
2019-07-31Examining characteristics of predictive models with imbalanced big dataJournal Of Big DataTawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy et al.42cites it
2019-07-30Impact of class distribution on the detection of slow HTTP DoS attacks using Big DataJournal Of Big DataChad L. Calvert, Taghi M. Khoshgoftaar35cites it
2020-03-16Investigating class rarity in big dataJournal Of Big DataTawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy et al.20cites it
2025-09-02TriHID: Towards verifiable domain adaptation-based IoT intrusion detection in heterogeneous environmentExpert Systems with ApplicationsJiashu Wu, Yang Wang6cites 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). gkbrk/slowloris: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-gkbrk-slowloris

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

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