---
title: "SVHN: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 159 archived papers mentioned SVHN in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2025 (10)."
url: https://scholar4ai.com/datasets/svhn
markdown_url: https://scholar4ai.com/datasets/svhn.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 159 archived papers mentioned SVHN in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2025 (10). (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# SVHN

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Labelled image collections used to train and compare image classifiers.

- data category: Image classification benchmarks
- 0 papers in the last 7 days
- Names searched for: SVHN, Street View House Numbers

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Image classification benchmarks datasets: https://scholar4ai.com/datasets/image-classification-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 159 archived papers mentioned SVHN in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2025 (10).
- SVHN was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
- By journal category: AI (1).
- Most of them appeared in Knowledge-Based Systems (1).
- From 2017 to 2026 (so far), SVHN was mentioned in 209 papers in the tracked journals, most of them in AI (205), information systems (3) and statistics (1).
- 54 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (11), Shanghai Jiao Tong University (11) and Nanyang Technological University (10).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (35), IEEE Transactions on Neural Networks and Learning Systems (23) and Machine Learning (16).
- The most-cited of them is “Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018), with 2,861 citations.
- Papers use SVHN most often with CIFAR-10 / CIFAR-100 (178), ImageNet (130) and MNIST / Fashion-MNIST (127); it has 30 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 60 | 57 | 42 | 159 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 2 | 7 | 7 | 8 | 8 | 22 | 61 | 54 | 35 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 1 | 2 | 7 | 7 | 9 | 9 | 22 | 62 | 54 | 36 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 35 |
| 2 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 23 |
| 3 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 16 |
| 4 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 13 |
| 5 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 11 |
| 6 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 10 |
| 7 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 8 |
| 8 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 8 |
| 9 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 7 |
| 10 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 7 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 11 |
| 2 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 11 |
| 3 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 10 |
| 4 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 8 |
| 5 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 7 |
| 6 | [The University of Sydney](https://scholar4ai.com/institutions/the-university-of-sydney.md) | 6 |
| 7 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 6 |
| 8 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 5 |
| 9 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 5 |
| 10 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 5 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 91 |
| 2 | United Kingdom | 29 |
| 3 | United States | 25 |
| 4 | Australia | 24 |
| 5 | Singapore | 17 |
| 6 | Hong Kong | 16 |
| 7 | Canada | 8 |
| 8 | Germany | 8 |
| 9 | South Korea | 7 |
| 10 | Spain | 6 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [image classification](https://scholar4ai.com/keywords/image-classification.md) | 22 |
| 2 | out-of-distribution detection | 19 |
| 3 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 15 |
| 4 | adversarial training | 12 |
| 5 | [adversarial robustness](https://scholar4ai.com/keywords/adversarial-robustness.md) | 11 |
| 6 | non-IID data | 11 |
| 7 | [deep neural network](https://scholar4ai.com/keywords/deep-neural-network.md) | 10 |
| 8 | [generalization](https://scholar4ai.com/keywords/generalization.md) | 9 |
| 9 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 9 |
| 10 | [semi-supervised learning](https://scholar4ai.com/keywords/semi-supervised-learning.md) | 9 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 2,861 | 28.8 | [Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning](https://doi.org/10.1109/tpami.2018.2858821) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2018-07-23 | Takeru Miyato, Shin‐ichi Maeda, Masanori Koyama et al. |
| 2 | 998 | 30.9 | [Vision-Language Models for Vision Tasks: A Survey](https://doi.org/10.1109/tpami.2024.3369699) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-02-26 | Jingyi Zhang, Jiaxing Huang, Sheng Jin et al. |
| 3 | 903 | 10.3 | [Interpolation Consistency Training for Semi-supervised Learning](https://doi.org/10.1016/j.neunet.2021.10.008) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2019-07-28 | Vikas Verma, Kenji Kawaguchi, Alex Lamb et al. |
| 4 | 613 | 18.5 | [Autoencoders and their applications in machine learning: a survey](https://doi.org/10.1007/s10462-023-10662-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-02-03 | Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al. |
| 5 | 610 | 6.8 | [Convolutional Networks with Dense Connectivity](https://doi.org/10.1109/tpami.2019.2918284) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2019-05-23 | Gao Ming Huang, Zhuang Liu, Geoff Pleiss et al. |

## Used together with

Papers use SVHN most often with CIFAR-10 / CIFAR-100 (178), ImageNet (130) and MNIST / Fashion-MNIST (127); it has 30 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use SVHN together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 178 | 29.4 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 130 | 12.6 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 127 | 26.2 |
| [Caltech-101 / 256](https://scholar4ai.com/datasets/caltech-101-256.md) | Dataset | 27 | 41.8 |
| [Domain adaptation benchmarks (Office-31, Office-Home, VisDA…](https://scholar4ai.com/datasets/domain-adaptation-benchmarks-office-31-office-home-visda-domainnet.md) | Dataset | 26 | 36.5 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 25 | 6.2 |
| [Face recognition (LFW, CelebA, VGGFace2)](https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2.md) | Dataset | 19 | 14.7 |
| [Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)](https://scholar4ai.com/datasets/fine-grained-benchmarks-cub-200-stanford-cars-oxford-flowers.md) | Dataset | 19 | 19.0 |
| [PASCAL VOC](https://scholar4ai.com/datasets/pascal-voc.md) | Dataset | 13 | 8.9 |
| [Cityscapes](https://scholar4ai.com/datasets/cityscapes.md) | Dataset | 10 | 7.7 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 8 | 7.8 |
| [KITTI](https://scholar4ai.com/datasets/kitti.md) | Dataset | 8 | 4.0 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning SVHN in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-07 | [CGNC: Confidence-Guided Neighbor Consensus for semi-supervised learning](https://doi.org/10.1016/j.knosys.2026.117154) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Ahmed Abbas Jaber, Mengzi Tang, Zhishu Shen et al. | Wuhan University of Technology |

## Cite this page

Scholar4AI. (2026). SVHN. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/svhn

```bibtex
@misc{scholar4ai-datasets-svhn,
  author = {{Scholar4AI}},
  title = {SVHN},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/svhn}},
  urldate = {2026-11-04},
  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/).