---
title: "opencv/opencv: papers citing this GitHub repository"
description: "8 papers in the tracked journals link to the GitHub repository opencv/opencv in their Crossref records, the first in 2017; most of them (2) in 2025."
url: https://scholar4ai.com/code/github-opencv-opencv
markdown_url: https://scholar4ai.com/code/github-opencv-opencv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "8 papers in the tracked journals link to the GitHub repository opencv/opencv in their Crossref records, the first in 2017; most of them (2) in 2025. (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)
---

# opencv/opencv: papers linking to it

Research papers in the 480 tracked journals that link to opencv/opencv (https://github.com/opencv/opencv), 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
- 91,415 stars
- 57,083 forks
- C++
- license Apache-2.0
- created 2012
- https://github.com/opencv/opencv

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

## Key findings

- 8 papers in the tracked journals link to the GitHub repository opencv/opencv in their Crossref records, the first in 2017; most of them (2) in 2025.
- By category: AI (7) and Marketing (1); the journals with the most are Neural Computing and Applications (2), Pattern Recognition (2) and Journal of the Academy of Marketing Science (1).

## By year

*Papers linking to opencv/opencv by publication year*

| Year | Papers |
|---|---:|
| 2017 | 2 |
| 2019 | 2 |
| 2020 | 1 |
| 2021 | 1 |
| 2025 | 2 |

## Journals

*Journals whose papers link to opencv/opencv most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2 |
| [Journal of the Academy of Marketing Science](https://scholar4ai.com/journals/journal-of-the-academy-of-marketing-science.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |

## Papers

*Papers linking to opencv/opencv, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-06-03 | [Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods](https://doi.org/10.1016/j.patcog.2017.06.009) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Massimiliano Patacchiola, Angelo Cangelosi | 205 | cites it |
| 2021-05-03 | [Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images](https://doi.org/10.1016/j.eswa.2021.115141) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Adi Alhudhaif, Kemal Polat, Onur Karaman | 98 | cites it |
| 2020-07-08 | [Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles](https://doi.org/10.1007/s00521-020-05170-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | O.S. Amosov, Svetlana Gennadievna Amosova, Y. S. Ivanov et al. | 22 | cites it |
| 2019-01-08 | [RETRACTED ARTICLE: Learning visual representations with optimum-path forest and its applications to Barrett’s esophagus and adenocarcinoma diagnosis](https://doi.org/10.1007/s00521-018-03982-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Luis Antonio de Souza Jr, Luis C. S. Afonso, Alanna Ebigbo et al. | 13 | cites it |
| 2017-03-10 | [Maximum a posteriori estimation method for aorta localization and coronary seed identification](https://doi.org/10.1016/j.patcog.2017.03.005) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Byunghwan Jeon, Yoonmi Hong, Dongjin Han et al. | 11 | cites it |
| 2019-02-26 | [Bayesian inference for the automated adjustment of an image segmentation pipeline — A modular approach applied to wound healing assays](https://doi.org/10.1016/j.knosys.2019.02.025) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Mats Leif Moskopp, Andreas Deußen, Peter Dieterich | 11 | cites it |
| 2025-06-11 | [EventEgo3D++: 3D Human Motion Capture from A Head-Mounted Event Camera](https://doi.org/10.1007/s11263-025-02489-1) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Christen Millerdurai, Hiroyasu Akada, Jian Wang et al. | 6 | cites it |
| 2025-10-13 | [Posture as information: Streamer postures and the purchase of micro and small enterprise resellers in livestreaming](https://doi.org/10.1007/s11747-025-01117-1) | [Journal of the Academy of Marketing Science](https://scholar4ai.com/journals/journal-of-the-academy-of-marketing-science.md) | Lu Liu, Jiaming Fang, Zhenyu Ji | 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). opencv/opencv: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-opencv-opencv

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