---
title: "Pavia University / Pavia Centre: papers using it"
description: "From Nov 2023 to Oct 2026, 22 archived papers mentioned Pavia University / Pavia Centre in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (2)."
url: https://scholar4ai.com/datasets/pavia-university-pavia-centre
markdown_url: https://scholar4ai.com/datasets/pavia-university-pavia-centre.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 22 archived papers mentioned Pavia University / Pavia Centre in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (2). (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)
---

# Pavia University / Pavia Centre

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/5.md)

Hyperspectral and aerial image collections used to compare classification and detection methods.

- data category: Remote sensing benchmarks
- 0 papers in the last 7 days
- Names searched for: Pavia University, Pavia Centre, Pavia Center

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Remote sensing benchmarks datasets: https://scholar4ai.com/datasets/remote-sensing-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 22 archived papers mentioned Pavia University / Pavia Centre in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (2).
- No paper of the tracked journals mentioned Pavia University / Pavia Centre in the last 30 days (2026-10-06 to 2026-11-04).
- From 2017 to 2026 (so far), Pavia University / Pavia Centre was mentioned in 25 papers in the tracked journals, most of them in AI (22), statistics (1) and operations research (1).
- 6 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Beihang University (2), Nanyang Technological University (2) and University of Technology Sydney (2).
- The journals publishing most of them were Expert Systems with Applications (5), Neural Computing and Applications (4) and Artificial Intelligence Review (3).
- The most-cited of them is “A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions” (Journal Of Big Data, 2024), with 635 citations.
- Papers use Pavia University / Pavia Centre most often with Indian Pines (12), Houston 2013 / 2018 (5) and ImageNet (4); it has 4 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 |
|---|---:|---:|---:|---:|
|  | 10 | 6 | 6 | 22 |

## 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) | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 6 | 4 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 6 | 5 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 5 |
| 2 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 4 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 3 |
| 4 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2 |
| 5 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |
| 6 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2 |
| 7 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |
| 8 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |
| 9 | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | 1 |
| 10 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 2 |
| 2 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 2 |
| 3 | [University of Technology Sydney](https://scholar4ai.com/institutions/university-of-technology-sydney.md) | 2 |
| 4 | [Xi'an Jiaotong University](https://scholar4ai.com/institutions/xi-an-jiaotong-university.md) | 2 |
| 5 | Adelaide University | 1 |
| 6 | Alexandria Higher Institute of Engineering and Technology | 1 |
| 7 | Alexandria University | 1 |
| 8 | Arab Academy for Science, Technology, and Maritime Transport | 1 |
| 9 | Astronomical Observatory of Capodimonte | 1 |
| 10 | [Australian National University](https://scholar4ai.com/institutions/australian-national-university.md) | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 13 |
| 2 | Italy | 4 |
| 3 | Australia | 3 |
| 4 | Egypt | 2 |
| 5 | Hong Kong | 2 |
| 6 | India | 2 |
| 7 | Singapore | 2 |
| 8 | United States | 2 |
| 9 | United Arab Emirates | 1 |
| 10 | Belgium | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | hyperspectral image classification | 10 |
| 2 | Pavia University dataset | 4 |
| 3 | limited labeled data | 4 |
| 4 | [convolutional neural networks](https://scholar4ai.com/keywords/convolutional-neural-networks.md) | 3 |
| 5 | data scarcity | 3 |
| 6 | [graph convolutional networks](https://scholar4ai.com/keywords/graph-convolutional-networks.md) | 3 |
| 7 | hyperspectral imagery | 3 |
| 8 | [vision transformer](https://scholar4ai.com/keywords/vision-transformer.md) | 3 |
| 9 | 3D convolution | 2 |
| 10 | RGB images | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 635 | 18.9 | [A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions](https://doi.org/10.1186/s40537-023-00876-4) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2024-01-16 | Bharti Khemani, Shruti Patil, Ketan V. Kotecha et al. |
| 2 | 166 | 3.8 | [Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification](https://doi.org/10.1016/j.eswa.2023.119858) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-03-14 | Yao Ding, Zhili Zhang, Xiaofeng Zhao et al. |
| 3 | 117 | 4.3 | [Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets](https://doi.org/10.1007/s10462-024-10859-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-08-02 | Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi |
| 4 | 86 | 2.7 | [Unsupervised hyperspectral pansharpening via low-rank diffusion model](https://doi.org/10.1016/j.inffus.2024.102325) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2024-02-28 | Xiangyu Rui, Xiangyong Cao, Li Pang et al. |
| 5 | 32 | 1.0 | [Multi-level relation learning for cross-domain few-shot hyperspectral image classification](https://doi.org/10.1007/s10489-024-05384-3) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2024-03-01 | Chun Liu, Longwei Yang, Zheng Li et al. |

## Used together with

Papers use Pavia University / Pavia Centre most often with Indian Pines (12), Houston 2013 / 2018 (5) and ImageNet (4); it has 4 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use Pavia University / Pavia Centre together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Indian Pines](https://scholar4ai.com/datasets/indian-pines.md) | Dataset | 12 | 695.9 |
| [Houston 2013 / 2018](https://scholar4ai.com/datasets/houston-2013-2018.md) | Dataset | 5 | 736.0 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 4 | 3.2 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 3 | 4.1 |

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

## Cite this page

Scholar4AI. (2026). Pavia University / Pavia Centre. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/pavia-university-pavia-centre

```bibtex
@misc{scholar4ai-datasets-pavia-university-pavia-centre,
  author = {{Scholar4AI}},
  title = {Pavia University / Pavia Centre},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/pavia-university-pavia-centre}},
  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/).