---
title: "nw3fy: papers citing this dataset"
description: "3 papers in the tracked journals link to the OSF dataset nw3fy in their Crossref records, the first in 2025; most of them (2) in 2026."
url: https://scholar4ai.com/code/osf-nw3fy
markdown_url: https://scholar4ai.com/code/osf-nw3fy.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the OSF dataset nw3fy in their Crossref records, the first in 2025; most of them (2) in 2026. (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)
---

# nw3fy: papers linking to it

Research papers in the 480 tracked journals that link to nw3fy (https://osf.io/nw3fy/), 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.

- OSF
- https://osf.io/nw3fy/

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

## Key findings

- 3 papers in the tracked journals link to the OSF dataset nw3fy in their Crossref records, the first in 2025; most of them (2) in 2026.
- By category: AI (3); the journals with the most are Expert Systems with Applications (1), Pattern Recognition (1) and International Journal of Computer Vision (1).

## By year

*Papers linking to nw3fy by publication year*

| Year | Papers |
|---|---:|
| 2025 | 1 |
| 2026 | 2 |

## Journals

*Journals whose papers link to nw3fy most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |

## Papers

*Papers linking to nw3fy, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-01-31 | [Adaptive probabilistic multi-model framework for robust 3D multi-object tracking under uncertainty](https://doi.org/10.1016/j.eswa.2025.126719) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Elham Esmaeeli Gohari, Reza Ramezani, Ahmad Baraani-Dastjerdi | 6 | cites it |
| 2026-04-03 | [OV-Pro: Enhancing open-vocabulary 3D object detection by prototype contrastive distillation](https://doi.org/10.1016/j.patcog.2026.113648) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Tongao Ge, Junyin Wang, Chenghu Du et al. | 0 | cites it |
| 2026-06-20 | [Learning Pseudo 3D Representation for Ego-centric 2D Multiple Object Tracking](https://doi.org/10.1007/s11263-026-02887-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Jiawei He, Lue Fan, Zhaoxiang Zhang | 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). nw3fy: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-nw3fy

```bibtex
@misc{scholar4ai-code-osf-nw3fy,
  author = {{Scholar4AI}},
  title = {nw3fy: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-nw3fy}},
  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/).