opencv/opencv: papers linking to it

GitHub · 91,415 stars · 57,083 forks · C++ · license Apache-2.0 · created 2012 · github.com/opencv/opencv

← Code and data repositories cited in research papers

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.

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#

20172025

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	2
Pattern Recognition	2
Journal of the Academy of Marketing Science	1
Expert Systems with Applications	1
Knowledge-Based Systems	1

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	Pattern Recognition	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	Expert Systems with Applications	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	Neural Computing and Applications	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2019-01-08	RETRACTED ARTICLE: Learning visual representations with optimum-path forest and its applications to Barrett’s esophagus and adenocarcinoma diagnosis	Neural Computing and Applications	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	Pattern Recognition	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	Knowledge-Based Systems	Mats Leif Moskopp, Andreas Deußen, Peter Dieterich	11	cites it
2025-06-11	EventEgo3D++: 3D Human Motion Capture from A Head-Mounted Event Camera	International Journal of Computer Vision	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	Journal of the Academy of Marketing Science	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

@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}
}

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