---
title: "gkbrk/slowloris: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-gkbrk-slowloris
markdown_url: https://scholar4ai.com/code/github-gkbrk-slowloris.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# gkbrk/slowloris: papers linking to it

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.

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

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

## 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

*Papers linking to gkbrk/slowloris by publication year*

| Year | Papers |
|---|---:|
| 2019 | 3 |
| 2020 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to gkbrk/slowloris most*

| Journal | Papers |
|---|---:|
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 4 |
| [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Severely imbalanced Big Data challenges: investigating data sampling approaches](https://doi.org/10.1186/s40537-019-0274-4) (Journal Of Big Data, 2019)
  - [The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data](https://doi.org/10.1007/s10796-020-10022-7) (Information Systems Frontiers, 2020) — cites the paper above

## Papers

*Papers linking to gkbrk/slowloris, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-11-30 | [Severely imbalanced Big Data challenges: investigating data sampling approaches](https://doi.org/10.1186/s40537-019-0274-4) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy et al. | 143 | cites it |
| 2020-06-21 | [The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data](https://doi.org/10.1007/s10796-020-10022-7) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | Justin M. Johnson, Taghi M. Khoshgoftaar | 79 | cites it |
| 2019-07-31 | [Examining characteristics of predictive models with imbalanced big data](https://doi.org/10.1186/s40537-019-0231-2) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy et al. | 42 | cites it |
| 2019-07-30 | [Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data](https://doi.org/10.1186/s40537-019-0230-3) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Chad L. Calvert, Taghi M. Khoshgoftaar | 35 | cites it |
| 2020-03-16 | [Investigating class rarity in big data](https://doi.org/10.1186/s40537-020-00301-0) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy et al. | 20 | cites it |
| 2025-09-02 | [TriHID: Towards verifiable domain adaptation-based IoT intrusion detection in heterogeneous environment](https://doi.org/10.1016/j.eswa.2025.129543) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Jiashu Wu, Yang Wang | 6 | 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). gkbrk/slowloris: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-gkbrk-slowloris

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).