---
title: "ultralytics/yolov5: v3.1 - Bug Fixes and Performance…"
description: "11 papers in the tracked journals link to the Zenodo dataset ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements in their Crossref records, the first in 2021; most of them (4) in 2025."
url: https://scholar4ai.com/code/zenodo-4154370
markdown_url: https://scholar4ai.com/code/zenodo-4154370.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "11 papers in the tracked journals link to the Zenodo dataset ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements in their Crossref records, the first in 2021; most of them (4) 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)
---

# ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements: papers linking to it

Research papers in the 480 tracked journals that link to ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements (https://doi.org/10.5281/zenodo.4154370), 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.

- Zenodo
- Software
- 2020
- archives github.com/ultralytics/yolov5
- https://doi.org/10.5281/zenodo.4154370

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

## Key findings

- 11 papers in the tracked journals link to the Zenodo dataset ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements in their Crossref records, the first in 2021; most of them (4) in 2025.
- By category: AI (10) and Operations Research (1); the journals with the most are Expert Systems with Applications (4), Neural Computing and Applications (3) and International Journal of Computer Vision (2).
- It is a Zenodo archive of ultralytics/yolov5, which other papers here link to as well.

## By year

*Papers linking to ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2022 | 3 |
| 2023 | 2 |
| 2025 | 4 |
| 2026 | 1 |

## Journals

*Journals whose papers link to ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 4 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2 |
| [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 1 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |

## Related repositories

*Linked repositories ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [ultralytics/yolov5](https://scholar4ai.com/code/github-ultralytics-yolov5.md) | ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements is its Zenodo archive | 110 |

## Papers

*Papers linking to ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-08-24 | [Artificial Intelligence for Dunhuang Cultural Heritage Protection: The Project and the Dataset](https://doi.org/10.1007/s11263-022-01665-x) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Tianxiu Yu, Cong Lin, Shijie Zhang et al. | 103 | cites it |
| 2022-06-14 | [Similarity based person re-identification for multi-object tracking using deep Siamese network](https://doi.org/10.1007/s00521-022-07456-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Harun Suljagic, Ertuğrul Bayraktar, Numan Çelebi | 54 | cites it |
| 2021-06-20 | [Personal Protection Equipment detection system for embedded devices based on DNN and Fuzzy Logic](https://doi.org/10.1016/j.eswa.2021.115447) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Giancarlo Iannizzotto, Lucia Lo Bello, Gaetano Patti | 48 | cites it |
| 2023-05-08 | [Location and timestamp-based chip contour detection using LWMG-YOLOv5](https://doi.org/10.1016/j.cie.2023.109277) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | Bao Rong Chang, Hsiu Fen Tsai, Chia-Wei Hsieh | 17 | cites it |
| 2025-04-03 | [NU-AIR: A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles](https://doi.org/10.1007/s11263-025-02418-2) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Craig Iaboni, Thomas Kelly, Pramod Abichandani | 9 | cites it |
| 2023-09-14 | [QuanCro: a novel framework for quantification of corn crops’ consistency under natural field conditions](https://doi.org/10.1007/s00521-023-08961-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Fatimah Islam, Muhib Ullah, Abdul Bais | 6 | cites it |
| 2025-07-08 | [Uncertainty-guided attention learning for malaria parasite detection in thick blood smears](https://doi.org/10.1016/j.neunet.2025.107833) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Hao Xiong, Zhiyong Wang, Roneel V. Sharan et al. | 4 | cites it |
| 2025-08-24 | [Region-aware metric learning for few-shot detection of counterfeit cigarettes from packaging images](https://doi.org/10.1016/j.eswa.2025.129456) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Qian Zhou, Huanrou Ding, Chengzhe Li et al. | 4 | cites it |
| 2025-12-29 | [A low-cost temporal-spatial calibration method for radar and camera systems](https://doi.org/10.1016/j.eswa.2025.130879) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Wei He, Gui Zhang, Xinyu Liu et al. | 3 | cites it |
| 2022-09-01 | [LRATD: a lightweight real-time abnormal trajectory detection approach for road traffic surveillance](https://doi.org/10.1007/s00521-022-07626-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Chun Zhang, Keyan Ren | 2 | cites it |
| 2026-06-13 | [Two-stage acoustic event detection and classification for horn signals in urban scenarios: Comparing VGGish, YAMNet and Mel spectrogram approaches with mRMR feature selection](https://doi.org/10.1016/j.eswa.2026.133203) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Vahid Hajihashemi, Abdorreza Alavi Gharahbagh, José J. M. Machado et al. | 0 | 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). ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-4154370

```bibtex
@misc{scholar4ai-code-zenodo-4154370,
  author = {{Scholar4AI}},
  title = {ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-4154370}},
  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/).