ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support (https://doi.org/10.5281/zenodo.5563715), 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#
- 4 papers in the tracked journals link to the Zenodo dataset ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support in their Crossref records, the first in 2022; most of them (2) in 2023.
- By category: AI (4); the journals with the most are Neural Computing and Applications (3) and Expert Systems with Applications (1).
- It is a Zenodo archive of ultralytics/yolov5, which other papers here link to as well.
By year#
20222023
| Year | Papers |
|---|---|
| 2022 | 2 |
| 2023 | 2 |
Journals#
| Journal | Papers |
|---|---|
| Neural Computing and Applications | 3 |
| Expert Systems with Applications | 1 |
Related repositories#
| Repository | Relation | Papers |
|---|---|---|
| ultralytics/yolov5 | ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support is its Zenodo archive | 110 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2022-03-01 | Remote sensing image super-resolution and object detection: Benchmark and state of the art | Expert Systems with Applications | Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan et al. | 244 | cites it |
| 2023-02-06 | A hybrid method for fire detection based on spatial and temporal patterns | Neural Computing and Applications | Pedro Vinícius Almeida Borges de Venâncio, Roger Júnio Campos, Tamires Martins Rezende et al. | 53 | cites it |
| 2022-09-02 | Automatic detection of indoor occupancy based on improved YOLOv5 model | Neural Computing and Applications | Chao Wang, Yunchu Zhang, Yanfei Zhou et al. | 34 | cites it |
| 2023-04-18 | A video system based on convolutional autoencoder for drowning detection | Neural Computing and Applications | Xinyu He, Fei Yuan, Tingzhuang Liu et al. | 10 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-5563715
@misc{scholar4ai-code-zenodo-5563715,
author = {{Scholar4AI}},
title = {ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/zenodo-5563715}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}