MNIST / Fashion-MNIST
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Labelled image collections used to train and compare image classifiers.
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#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 297 | 261 | 196 | 754 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 16 | 24 | 32 | 47 | 44 | 46 | 114 | 272 | 214 | 159 |
| Operations Research | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 13 | 19 | 11 |
| Statistics | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 7 | 4 | 0 |
| Information Systems | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| Economics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 16 | 26 | 32 | 49 | 46 | 47 | 117 | 294 | 238 | 172 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 95 |
| 2 | IEEE Transactions on Neural Networks and Learning Systems | 91 |
| 3 | Neural Networks | 79 |
| 4 | Machine Learning | 75 |
| 5 | Neural Computing and Applications | 68 |
| 6 | Artificial Intelligence Review | 59 |
| 7 | Pattern Recognition | 41 |
| 8 | IEEE Transactions on Artificial Intelligence | 40 |
| 9 | Expert Systems with Applications | 32 |
| 10 | Knowledge-Based Systems | 27 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 23 |
| 2 | Tsinghua University | 23 |
| 3 | University of Electronic Science and Technology of China | 23 |
| 4 | Zhejiang University | 21 |
| 5 | Centre National de la Recherche Scientifique | 20 |
| 6 | Nanyang Technological University | 16 |
| 7 | Xidian University | 14 |
| 8 | Hong Kong Polytechnic University | 13 |
| 9 | Shanghai Jiao Tong University | 13 |
| 10 | Chinese University of Hong Kong | 12 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 300 |
| 2 | United States | 120 |
| 3 | United Kingdom | 83 |
| 4 | Australia | 59 |
| 5 | Germany | 50 |
| 6 | Italy | 49 |
| 7 | Hong Kong | 47 |
| 8 | Spain | 37 |
| 9 | France | 36 |
| 10 | Singapore | 35 |
| # | Keyword | Papers |
|---|---|---|
| 1 | image classification | 81 |
| 2 | federated learning | 59 |
| 3 | MNIST | 53 |
| 4 | convolutional neural networks | 39 |
| 5 | generalization | 35 |
| 6 | spiking neural networks | 35 |
| 7 | data heterogeneity | 34 |
| 8 | non-IID data | 31 |
| 9 | convergence analysis | 28 |
| 10 | catastrophic forgetting | 27 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 3,086 | 31.1 | A systematic study of the class imbalance problem in convolutional neural networks | Neural Networks | 2018-07-29 | Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski |
| 2 | 665 | 14.2 | Three types of incremental learning | Nature Machine Intelligence | 2022-12-05 | Gido M. van de Ven, Tinne Tuytelaars, Andreas Savas Tolias |
| 3 | 613 | 18.6 | Autoencoders and their applications in machine learning: a survey | Artificial Intelligence Review | 2024-02-03 | Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al. |
| 4 | 556 | 13.1 | A modified Adam algorithm for deep neural network optimization | Neural Computing and Applications | 2023-04-25 | Mohamed Reyad, Amany Mahmoud Sarhan, Mohamed M. Arafa |
| 5 | 522 | 16.4 | Federated learning for medical image analysis: A survey | Pattern Recognition | 2024-03-12 | Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al. |
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| CIFAR-10 / CIFAR-100 | Dataset | 515 | 15.8 |
| ImageNet | Dataset | 322 | 5.6 |
| SVHN | Dataset | 121 | 24.9 |
| Face recognition (LFW, CelebA, VGGFace2) | Dataset | 69 | 10.5 |
| UCI Machine Learning Repository | Dataset | 56 | 3.7 |
| Caltech-101 / 256 | Dataset | 49 | 13.8 |
| MS COCO | Dataset | 37 | 1.7 |
| IMDb | Dataset | 36 | 6.2 |
| Domain adaptation benchmarks (Office-31, Office-Home, VisDA… | Dataset | 33 | 8.9 |
| Kaggle | Dataset | 31 | 2.2 |
| Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) | Dataset | 29 | 5.3 |
| PASCAL VOC | Dataset | 23 | 3.0 |
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-28 | AP(TM): Associative processor based Tsetlin machine | Expert Systems with Applications | Harel Srot, Yehuda Rudin, Alexander Fish et al. | Bar-Ilan University |
| 2026-10-27 | Meta additive model: interpretable sparse learning with auto weighting | Data Mining and Knowledge Discovery | Xuelin Zhang, Xinyue Liu, Lingjuan Wu et al. | Huazhong Agricultural University; Dongfeng Motor (China) |
| 2026-10-23 | Parallelizable memory recurrent units | Neural Networks | Florent De Geeter, Gaspard Lambrechts, Damien Ernst et al. | University of Liège |
| 2026-10-20 | Central description length (CDL) clustering validation index | Artificial Intelligence | Mahdi Shamsi, Soosan Beheshti | McGill University; Toronto Metropolitan University |
| 2026-10-19 | Nothing beyond randomness is required for forward-forward learning | Pattern Recognition | Yue Zhou, Xiaofang Hu, Shukai Duan | Southwest University |
| 2026-10-17 | Language modeling on tabular data: a survey of foundations, techniques and evolution | Artificial Intelligence Review | Yucheng Ruan, Xiang Lan, Jingying Ma et al. | National University of Singapore; Institute of Data Science |
| 2026-10-15 | Frequency–spatial dual-domain imperceptible watermarking for robust image datasets copyright protection | Information Processing & Management | Xiaojie Du, Yedi Chen, Kai Ma et al. | Guizhou Normal University |
| 2026-10-14 | Dynamic gain neuromodulation attenuates stability gaps during continual joint training | Neural Networks | Alejandro Rodriguez-Garcia, Anindya Ghosh, Srikanth Ramaswamy | Newcastle University |
| 2026-10-13 | Bootstrap Wasserstein alignment for stable feature attribution in low-data regimes | Knowledge-Based Systems | Mujahidul Islam, Priya Dubey | Tokyo International University |
| 2026-10-12 | AS-DQCNN: Angle superposition-augmented decreasing quantum convolutional neural network for image classification | Neural Networks | Yanyan Feng, Yan Li, Jie Li et al. | Central South University of Forestry and Technology; Central South University |
| 2026-10-10 | Variational graph-based semi-supervised learning | Pattern Recognition | Sebastian Salwig, Till Kahlke, Jörg Lücke | Universität 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}
}