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

MNIST / Fashion-MNIST

data category: Image classification benchmarks · 0 papers in the last 7 days

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Labelled image collections used to train and compare image classifiers.

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Names searched for: MNIST

Key findings#

  • From Nov 2023 to Oct 2026, 754 archived papers mentioned MNIST / Fashion-MNIST in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (40).
  • MNIST / Fashion-MNIST was mentioned in 11 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #19 of the 255 datasets mentioned.
  • By journal category: AI (11).
  • Most of them appeared in Neural Networks (3), Pattern Recognition (2) and Expert Systems with Applications (1).
  • From 2017 to 2026 (so far), MNIST / Fashion-MNIST was mentioned in 1,037 papers in the tracked journals, most of them in AI (968), operations research (49) and statistics (14).
  • 238 of them were published in 2025, against 16 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (23), Tsinghua University (23) and University of Electronic Science and Technology of China (23).
  • The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (95), IEEE Transactions on Neural Networks and Learning Systems (91) and Neural Networks (79).
  • The most-cited of them is “A systematic study of the class imbalance problem in convolutional neural networks” (Neural Networks, 2018), with 3,086 citations.
  • Papers use MNIST / Fashion-MNIST most often with CIFAR-10 / CIFAR-100 (515), ImageNet (322) and SVHN (121); it has 71 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
297261196754

Papers per year#

2017: 16 papers2018: 26 papers2019: 32 papers2020: 49 papers2021: 46 papers2022: 47 papers2023: 117 papers2024: 294 papers2025: 238 papers2026 (so far): 172 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI162432474446114272214159
Operations Research0001212131911
Statistics0101001740
Information Systems0100000111
Economics0000000100
Higher Education and Research0000000001
All categories162632494647117294238172

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China300
2United States120
3United Kingdom83
4Australia59
5Germany50
6Italy49
7Hong Kong47
8Spain37
9France36
10Singapore35
Keywords with the most papers, since 2023
#KeywordPapers
1image classification81
2federated learning59
3MNIST53
4convolutional neural networks39
5generalization35
6spiking neural networks35
7data heterogeneity34
8non-IID data31
9convergence analysis28
10catastrophic forgetting27

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13,08631.1A systematic study of the class imbalance problem in convolutional neural networksNeural Networks2018-07-29Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
266514.2Three types of incremental learningNature Machine Intelligence2022-12-05Gido M. van de Ven, Tinne Tuytelaars, Andreas Savas Tolias
361318.6Autoencoders and their applications in machine learning: a surveyArtificial Intelligence Review2024-02-03Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al.
455613.1A modified Adam algorithm for deep neural network optimizationNeural Computing and Applications2023-04-25Mohamed Reyad, Amany Mahmoud Sarhan, Mohamed M. Arafa
552216.4Federated learning for medical image analysis: A surveyPattern Recognition2024-03-12Hao Guan, Pew‐Thian Yap, Andrea Bozoki 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 MNIST / Fashion-MNIST most often with CIFAR-10 / CIFAR-100 (515), ImageNet (322) and SVHN (121); it has 71 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 MNIST / Fashion-MNIST together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CIFAR-10 / CIFAR-100Dataset51515.8
ImageNetDataset3225.6
SVHNDataset12124.9
Face recognition (LFW, CelebA, VGGFace2)Dataset6910.5
UCI Machine Learning RepositoryDataset563.7
Caltech-101 / 256Dataset4913.8
MS COCODataset371.7
IMDbDataset366.2
Domain adaptation benchmarks (Office-31, Office-Home, VisDA…Dataset338.9
KaggleDataset312.2
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)Dataset295.3
PASCAL VOCDataset233.0
Papers mentioning MNIST / Fashion-MNIST in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-28AP(TM): Associative processor based Tsetlin machineExpert Systems with ApplicationsHarel Srot, Yehuda Rudin, Alexander Fish et al.Bar-Ilan University
2026-10-27Meta additive model: interpretable sparse learning with auto weightingData Mining and Knowledge DiscoveryXuelin Zhang, Xinyue Liu, Lingjuan Wu et al.Huazhong Agricultural University; Dongfeng Motor (China)
2026-10-23Parallelizable memory recurrent unitsNeural NetworksFlorent De Geeter, Gaspard Lambrechts, Damien Ernst et al.University of Liège
2026-10-20Central description length (CDL) clustering validation indexArtificial IntelligenceMahdi Shamsi, Soosan BeheshtiMcGill University; Toronto Metropolitan University
2026-10-19Nothing beyond randomness is required for forward-forward learningPattern RecognitionYue Zhou, Xiaofang Hu, Shukai DuanSouthwest University
2026-10-17Language modeling on tabular data: a survey of foundations, techniques and evolutionArtificial Intelligence ReviewYucheng Ruan, Xiang Lan, Jingying Ma et al.National University of Singapore; Institute of Data Science
2026-10-15Frequency–spatial dual-domain imperceptible watermarking for robust image datasets copyright protectionInformation Processing & ManagementXiaojie Du, Yedi Chen, Kai Ma et al.Guizhou Normal University
2026-10-14Dynamic gain neuromodulation attenuates stability gaps during continual joint trainingNeural NetworksAlejandro Rodriguez-Garcia, Anindya Ghosh, Srikanth RamaswamyNewcastle University
2026-10-13Bootstrap Wasserstein alignment for stable feature attribution in low-data regimesKnowledge-Based SystemsMujahidul Islam, Priya DubeyTokyo International University
2026-10-12AS-DQCNN: Angle superposition-augmented decreasing quantum convolutional neural network for image classificationNeural NetworksYanyan Feng, Yan Li, Jie Li et al.Central South University of Forestry and Technology; Central South University
2026-10-10Variational graph-based semi-supervised learningPattern RecognitionSebastian Salwig, Till Kahlke, Jörg LückeUniversität Innsbruck
Cite this page

Scholar4AI. (2026). MNIST / Fashion-MNIST. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/mnist-fashion-mnist

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

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