Pavia University / Pavia Centre

data category: Remote sensing benchmarks · 0 papers in the last 7 days

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

Names searched for: Pavia University, Pavia Centre, Pavia Center

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#

20172026 (so far)

Papers per publication year and category
Category	2023	2024	2025	2026 (so far)
AI	3	9	6	4
Statistics	1	0	0	0
Operations Research	0	0	0	1
Information Systems	0	1	0	0
All categories	4	10	6	5

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Expert Systems with Applications	5
2	Neural Computing and Applications	4
3	Artificial Intelligence Review	3
4	Neural Networks	2
5	Applied Intelligence	2
6	IEEE Transactions on Neural Networks and Learning Systems	2
7	IEEE Transactions on Pattern Analysis and Machine Intelligence	1
8	International Journal of Computer Vision	1
9	Journal of Global Optimization	1
10	Information Fusion	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Beihang University	2
2	Nanyang Technological University	2
3	University of Technology Sydney	2
4	Xi'an Jiaotong University	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	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	3
5	data scarcity	3
6	graph convolutional networks	3
7	hyperspectral imagery	3
8	vision transformer	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	Journal Of Big Data	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	Expert Systems with Applications	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	Artificial Intelligence Review	2024-08-02	Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
4	86	2.7	Unsupervised hyperspectral pansharpening via low-rank diffusion model	Information Fusion	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	Applied Intelligence	2024-03-01	Chun Liu, Longwei Yang, Zheng Li et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

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. The whole network →

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	Dataset	12	768.1
Houston 2013 / 2018	Dataset	5	594.4
ImageNet	Dataset	4	2.9
CIFAR-10 / CIFAR-100	Dataset	3	3.8

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

@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}
}

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