Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

Indian Pines

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.

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Names searched for: Indian Pines

Key findings#

  • From Nov 2023 to Oct 2026, 19 archived papers mentioned Indian Pines in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (2).
  • Indian Pines 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 Swarm and Evolutionary Computation (1).
  • From 2017 to 2026 (so far), Indian Pines was mentioned in 26 papers in the tracked journals, most of them in AI (25) and operations research (1).
  • 8 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (4), Aerospace Information Research Institute (2) and Henan University of Technology (2).
  • The journals publishing most of them were Neural Computing and Applications (5), Artificial Intelligence Review (3) and Neural Networks (3).
  • The most-cited of them is “Deep support vector machine for hyperspectral image classification” (Pattern Recognition, 2020), with 285 citations.
  • Papers use Indian Pines most often with Pavia University / Pavia Centre (12), CIFAR-10 / CIFAR-100 (4) and ImageNet (4); it has 6 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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
87419

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 1 paper2021: 2 papers2022: 1 paper2023: 4 papers2024: 7 papers2025: 8 papers2026 (so far): 3 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0001214773
Operations Research0000000010
All categories0001214783

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Chinese Academy of Sciences4
2Aerospace Information Research Institute2
3Henan University of Technology2
4Nanyang Technological University2
5University of Chinese Academy of Sciences2
6University of Technology Sydney2
7Adelaide University1
8Astronomical Observatory of Capodimonte1
9Beihang University1
10Beijing Institute of Technology1
Countries with the most papers, since 2023
#CountryPapers
1China12
2United States4
3India3
4Italy3
5Australia2
6Egypt2
7Hong Kong2
8Singapore2
9United Arab Emirates1
10France1
Keywords with the most papers, since 2023
#KeywordPapers
1hyperspectral image classification9
2Indian Pines4
33D convolution3
4hyperspectral imagery3
5land cover classification3
6RGB images2
7Salinas2
8computational efficiency2
9cross-domain few-shot learning2
10data augmentation2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
12853.5Deep support vector machine for hyperspectral image classificationPattern Recognition2020-02-22Onuwa Okwuashi, Christopher E. Ndehedehe
22216.1A survey on few-shot class-incremental learningNeural Networks2023-10-31Songsong Tian, Lusi Li, Weijun Li et al.
31522.2A versatile deep learning architecture for classification and label-free prediction of hyperspectral imagesNature Machine Intelligence2021-03-11Bryce Manifold, Shuaiqian Men, Ruoqian Hu et al.
41174.3Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasetsArtificial Intelligence Review2024-08-02Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
5741.53D residual spatial–spectral convolution network for hyperspectral remote sensing image classificationNeural Computing and Applications2022-10-23Hüseyin Fırat, Mehmet Emin Asker, Mehmet İlyas Bayındır 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 Indian Pines most often with Pavia University / Pavia Centre (12), CIFAR-10 / CIFAR-100 (4) and ImageNet (4); it has 6 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 Indian Pines together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Pavia University / Pavia CentreDataset12768.1
CIFAR-10 / CIFAR-100Dataset44.9
ImageNetDataset42.8
ADNIDataset324.1
MNIST / Fashion-MNISTDataset34.6
PASCAL VOCDataset315.4
Papers mentioning Indian Pines in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-23Thermodynamically governed unified optimisation: Regime dependence across scalar, multimodal, and multiobjective searchSwarm and Evolutionary ComputationKrishnan Batri, G. Geetha, Lakshmi SSharda University
Cite this page

Scholar4AI. (2026). Indian Pines. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/indian-pines

@misc{scholar4ai-datasets-indian-pines,
  author = {{Scholar4AI}},
  title = {Indian Pines},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/indian-pines}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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