---
title: "painter-by-numbers: papers citing this dataset"
description: "11 papers in the tracked journals link to the Kaggle dataset painter-by-numbers in their Crossref records, the first in 2020; most of them (3) in 2025."
url: https://scholar4ai.com/code/kaggle-competition-painter-by-numbers
markdown_url: https://scholar4ai.com/code/kaggle-competition-painter-by-numbers.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 Kaggle dataset painter-by-numbers in their Crossref records, the first in 2020; most of them (3) 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)
---

# painter-by-numbers: papers linking to it

Research papers in the 480 tracked journals that link to painter-by-numbers (https://www.kaggle.com/competitions/painter-by-numbers), 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.

- Kaggle
- https://www.kaggle.com/competitions/painter-by-numbers

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

## Key findings

- 11 papers in the tracked journals link to the Kaggle dataset painter-by-numbers in their Crossref records, the first in 2020; most of them (3) in 2025.
- By category: AI (11); the journals with the most are International Journal of Computer Vision (4), Pattern Recognition (3) and Machine Learning (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links painter-by-numbers.

## By year

*Papers linking to painter-by-numbers by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 2 |
| 2025 | 3 |
| 2026 | 2 |

## Journals

*Journals whose papers link to painter-by-numbers most*

| Journal | Papers |
|---|---:|
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 4 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 3 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.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 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Kill Two Birds with One Stone: Domain Generalization for Semantic Segmentation via Network Pruning](https://doi.org/10.1007/s11263-024-02194-5) (International Journal of Computer Vision, 2024)
  - [Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation](https://doi.org/10.1007/s11263-025-02465-9) (International Journal of Computer Vision, 2025) — cites the paper above

## Papers

*Papers linking to painter-by-numbers, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-06-18 | [Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments](https://doi.org/10.1016/j.eswa.2021.115417) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Amir Khosravian, Abdollah Amirkhani, Hossein Kashiani et al. | 71 | cites it |
| 2024-07-27 | [Kill Two Birds with One Stone: Domain Generalization for Semantic Segmentation via Network Pruning](https://doi.org/10.1007/s11263-024-02194-5) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yawei Luo, Ping Liu, Yi Yang | 18 | cites it |
| 2020-03-13 | [Deep quantization generative networks](https://doi.org/10.1016/j.patcog.2020.107338) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Diwen Wan, Fumin Shen, Li Liu et al. | 15 | cites it |
| 2025-03-28 | [Advances in 3D Neural Stylization: A Survey](https://doi.org/10.1007/s11263-025-02403-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yingshu Chen, Guocheng Shao, Ka Chun Shum et al. | 15 | cites it |
| 2023-10-11 | [Large capacity generative image steganography via image style transfer and feature-wise deep fusion](https://doi.org/10.1007/s10489-023-04993-8) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Youqiang Sun, Jianyi Liu, Ru Zhang | 13 | cites it |
| 2025-07-08 | [Artwork protection against unauthorized neural style transfer and aesthetic color distance metric](https://doi.org/10.1016/j.patcog.2025.112105) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Zhongliang Guo, Yifei Qian, Shuai Zhao et al. | 10 | cites it |
| 2022-11-28 | [A non-definitive auto-transfer mechanism for arbitrary style transfers](https://doi.org/10.1016/j.knosys.2022.110171) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Jiagong Wang, Libo Xu, Xin Yu et al. | 8 | cites it |
| 2026-01-21 | [ConRF: Zero-shot stylization of 3D scenes with conditioned radiation fields](https://doi.org/10.1016/j.patcog.2026.113134) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Xingyu Miao, Yang Bai, Haoran Duan et al. | 8 | cites it |
| 2024-01-09 | [Style spectroscope: improve interpretability and controllability through Fourier analysis](https://doi.org/10.1007/s10994-023-06435-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Zhiyu Jin, Xuli Shen, Bin Li et al. | 7 | cites it |
| 2025-06-25 | [Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation](https://doi.org/10.1007/s11263-025-02465-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Qi Fan, Mattia Segù, Bernt Schiele et al. | 4 | cites it |
| 2026-04-07 | [FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting](https://doi.org/10.1007/s11263-026-02764-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | GeonU Kim, Kim Youwang, Lee Hyoseok et al. | 2 | 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). painter-by-numbers: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-painter-by-numbers

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