---
title: "AlexeyAB/darknet: papers citing this GitHub repository"
description: "6 papers in the tracked journals link to the GitHub repository AlexeyAB/darknet in their Crossref records, the first in 2021; most of them (4) in 2022."
url: https://scholar4ai.com/code/github-alexeyab-darknet
markdown_url: https://scholar4ai.com/code/github-alexeyab-darknet.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 AlexeyAB/darknet in their Crossref records, the first in 2021; most of them (4) in 2022. (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)
---

# AlexeyAB/darknet: papers linking to it

Research papers in the 480 tracked journals that link to AlexeyAB/darknet (https://github.com/AlexeyAB/darknet), 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
- 22,135 stars
- 7,832 forks
- C
- created 2016
- fork of pjreddie/darknet
- https://github.com/AlexeyAB/darknet

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

## Key findings

- 6 papers in the tracked journals link to the GitHub repository AlexeyAB/darknet in their Crossref records, the first in 2021; most of them (4) in 2022.
- By category: AI (6); the journals with the most are Neural Computing and Applications (5) and Applied Intelligence (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links AlexeyAB/darknet.
- It is a fork of pjreddie/darknet, which other papers here link to as well.

## By year

*Papers linking to AlexeyAB/darknet by publication year*

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2022 | 4 |

## Journals

*Journals whose papers link to AlexeyAB/darknet most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 5 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3](https://doi.org/10.1007/s00521-021-05764-7) (Neural Computing and Applications, 2021)
  - [A fast accurate fine-grain object detection model based on YOLOv4 deep neural network](https://doi.org/10.1007/s00521-021-06651-x) (Neural Computing and Applications, 2022) — cites the paper above

## Related repositories

*Linked repositories AlexeyAB/darknet derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [pjreddie/darknet](https://scholar4ai.com/code/github-pjreddie-darknet.md) | AlexeyAB/darknet is its fork | 3 |

## Papers

*Papers linking to AlexeyAB/darknet, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-01-07 | [A fast accurate fine-grain object detection model based on YOLOv4 deep neural network](https://doi.org/10.1007/s00521-021-06651-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Arunabha Mohan Roy, Rikhi Bose, Jayabrata Bhaduri | 334 | cites it |
| 2022-11-23 | [Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection](https://doi.org/10.1007/s10489-022-04299-1) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Ahmet Karaman, Derviş Karaboğa, İshak Paçal et al. | 108 | cites it |
| 2021-08-24 | [Real-time multiple object tracking using deep learning methods](https://doi.org/10.1007/s00521-021-06391-y) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Dimitrios Meimetis, Ioannis Daramouskas, Isidoros Perikos et al. | 101 | cites it |
| 2021-03-05 | [A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3](https://doi.org/10.1007/s00521-021-05764-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ignacio Martinez‐Alpiste, Gelayol Golcarenarenji, Qi Wang et al. | 24 | cites it |
| 2022-01-10 | [A novel early warning strategy for right-turning blind zone based on vulnerable road users detection](https://doi.org/10.1007/s00521-021-06800-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Lei Han, Peng Zheng, Haobo Li et al. | 11 | cites it |
| 2022-09-13 | [Detecting and tracking using 2D laser range finders and deep learning](https://doi.org/10.1007/s00521-022-07765-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Eugenio Aguirre, Miguel García-Silvente | 9 | 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). AlexeyAB/darknet: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-alexeyab-darknet

```bibtex
@misc{scholar4ai-code-github-alexeyab-darknet,
  author = {{Scholar4AI}},
  title = {AlexeyAB/darknet: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-alexeyab-darknet}},
  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/).