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

ImageNet

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

← Most-used data · All Image classification benchmarks datasets

Labelled image collections used to train and compare image classifiers.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Names searched for: ImageNet, ILSVRC

Key findings#

  • From Nov 2023 to Oct 2026, 1,926 archived papers mentioned ImageNet in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (93).
  • ImageNet was mentioned in 31 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #4 of the 255 datasets mentioned.
  • By journal category: AI (29), Finance (1) and Operations Research (1).
  • Most of them appeared in Pattern Recognition (7), Neural Networks (6) and International Journal of Computer Vision (4).
  • From 2017 to 2026 (so far), ImageNet was mentioned in 2,281 papers in the tracked journals, most of them in AI (2,188), operations research (25) and information systems (19).
  • 603 of them were published in 2025, against 6 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (113), Tsinghua University (70) and University of Chinese Academy of Sciences (65).
  • The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (403), International Journal of Computer Vision (205) and IEEE Transactions on Neural Networks and Learning Systems (182).
  • The most-cited of them is “Squeeze-and-Excitation Networks” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019), with 12,153 citations.
  • Papers use ImageNet most often with CIFAR-10 / CIFAR-100 (768), MS COCO (356) and MNIST / Fashion-MNIST (322); it has 120 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
7926474871,926

Papers per year#

2017: 6 papers2018: 16 papers2019: 36 papers2020: 35 papers2021: 60 papers2022: 80 papers2023: 250 papers2024: 771 papers2025: 603 papers2026 (so far): 424 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI61636355980247737579393
Operations Research00000011266
Information Systems00001001035
Statistics0000000934
Economics0000001255
Finance0000000114
Higher Education and Research0000001013
Management0000000040
Tourism and Hospitality0000000013
Marketing0000000001
All categories61636356080250771603424

Where the papers come from#

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
112,153134.9Squeeze-and-Excitation NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence2019-05-02Jie Hu, Li Shen, Samuel Albanie et al.
23,40439.5Res2Net: A New Multi-Scale Backbone ArchitectureIEEE Transactions on Pattern Analysis and Machine Intelligence2019-08-30Shanghua Gao, Ming‐Ming Cheng, Kai Zhao et al.
33,08631.1A systematic study of the class imbalance problem in convolutional neural networksNeural Networks2018-07-29Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
42,40425.6One Pixel Attack for Fooling Deep Neural NetworksIEEE Transactions on Evolutionary Computation2019-01-04Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
51,83131.5Image Super-Resolution Via Iterative RefinementIEEE Transactions on Pattern Analysis and Machine Intelligence2022-01-01Chitwan Saharia, Jonathan Ho, William Chan 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 ImageNet most often with CIFAR-10 / CIFAR-100 (768), MS COCO (356) and MNIST / Fashion-MNIST (322); it has 120 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 ImageNet together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CIFAR-10 / CIFAR-100Dataset76810.7
MS COCODataset3567.6
MNIST / Fashion-MNISTDataset3225.6
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)Dataset16113.4
PASCAL VOCDataset1589.3
SVHNDataset12711.9
CityscapesDataset1117.0
YouTube / TikTokDataset1101.2
Face recognition (LFW, CelebA, VGGFace2)Dataset1006.9
KaggleDataset963.1
Action recognition (Kinetics, UCF101, HMDB51)Dataset906.3
Caltech-101 / 256Dataset9011.6
Papers mentioning ImageNet in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-28Breathing life into activation functions: the SWIn framework for sustained nonlinearityNeural NetworksYu Ran, Li Zhang, Shi YuanUniversity of Manchester; University of International Business and Economics
2026-10-26CARD: Conditional backdoor repair under limited clean data via target-side occupancy–takeover readoutExpert Systems with ApplicationsYuchen Dong, Jian Peng, Lixu Sun et al.Xinjiang University; Xinjiang Institute of Engineering
2026-10-26TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and GenerationInternational Journal of Computer VisionHaokun Lin, Teng Wang, Yixiao Ge et al.City University of Hong Kong; Chinese Academy of Sciences; Tencent (China); …
2026-10-26Inst-Inpaint: Instructing to Remove Objects with Diffusion ModelsInternational Journal of Computer VisionAhmet Burak Yildirim, Vedat Baday, Erkut Erdem et al.Bilkent University; Hacettepe University; Koç University
2026-10-25EGY-MER: Establishing The First Egyptian Arabic Multimodal Emotion Recognition Dataset for Affective ComputingLanguage Resources and EvaluationAmany Hussein, May Hussien, Ammar Hassona et al.German International University; German University in Cairo; Universität Ulm
2026-10-24PF-Mamba-UNet: An Anatomical-Prior-Guided Medical Image Segmentation Network Based on Mamba and Spatial-Channel Collaborative Attention FusionCognitive ComputationLeyi Xiao, Kangshun Liao, Baoxian Zhou et al.Hainan University
2026-10-24Enhancing monocular 3D semantic scene graph prediction via cross-modality knowledge distillationPattern RecognitionJiho Bae, Minjae Lee, Seok-Jun Buu et al.Gyeongsang National University
2026-10-24Label ensemble perspective for reduced-complexity graph node classification under label noisePattern RecognitionRui Zhao, Bin Shi, Zhiming Liang et al.Xi'an Jiaotong University; Pennsylvania State University
2026-10-23DFedSVRG: Decentralized federated learning with stochastic variance reduced gradientExpert Systems with ApplicationsJialong Huang, Jianhua Hu, Qinglun Li et al.University of Shanghai for Science and Technology; National University of Defense Technology
2026-10-23A Lagrangian-inspired force-based loss for deep metric learningNeural NetworksByung Do Cheon, Jeongmin Yu, Jung-Eun Kim et al.Yonsei University
2026-10-23From pixels to profits: trading arbitrage portfolios based on image representationsFinancial markets and portfolio managementNiklas PaluszkiewiczUniversität Ulm
2026-10-23Increment Vector Transformation for Class Incremental LearningPattern RecognitionZihuan Qiu, Yi Xu, Fanman Meng et al.University of Electronic Science and Technology of China
2026-10-22Zero-Shot Domain Generalization via Domain Prompt LearningInternational Journal of Computer VisionShiming Chen, Salman Khan, Salman Khan et al.Mohamed bin Zayed University of Artificial Intelligence; Huazhong University of Science and Technology; Australian National University; …
2026-10-21InfoDisent: Explainability of image classification models by information disentanglementKnowledge-Based SystemsŁukasz Struski, Dawid Rymarczyk, Jacek Tabor
2026-10-20Boosting the understanding ability of diffusion model with masked image modelingPattern RecognitionJianning Pei, Yingchao Feng, Hanbo Bi et al.Chinese Academy of Sciences; Aerospace Information Research Institute; University of Chinese Academy of Sciences
2026-10-20Weighted UnLearning from Experience for Improved Spurious Correlation RobustnessMachine LearningJeff Mitchell, Jesus Martinez-del-Rincon, Niall McLaughlinQueen's University Belfast
2026-10-20Adaptation of foundation models in medical image analysis: mechanisms, evidence, and deployment considerationsArtificial Intelligence ReviewKarma Phuntsho, Abdullah, Kyungmi Lee et al.James Cook University
2026-10-19Nothing beyond randomness is required for forward-forward learningPattern RecognitionYue Zhou, Xiaofang Hu, Shukai DuanSouthwest University
2026-10-19KeyMorph: Learning parameter-efficient network activation for deep steganographyPattern RecognitionFanye Kong, Yu Zheng, Lei Chen et al.Tsinghua University
2026-10-17CorrCLIPv2: Harnessing Unlabeled Images for Open-Vocabulary Semantic SegmentationInternational Journal of Computer VisionD H Zhang, Fagui Liu, Quan Tang et al.South China University of Technology; Peng Cheng Laboratory
2026-10-16NISNet: Efficient native dense prediction via symmetric boundary-preserving coupling–decouplingExpert Systems with ApplicationsFengjun WU, Kafeng Wang, Xinai Xu et al.Nanchang Normal University; Chinese Academy of Sciences; Computer Network Information Center; …
2026-10-16CDCLAP: Efficient distillation framework for zero-shot audio event classificationNeural NetworksFei Chen, Hui Xue, Pengfei FangSoutheast University
2026-10-15Transformer Architectures for Respiratory Sound Analysis and Multimodal DiagnosisOperations Research ForumTheodore Aptekarev, Vladimir Sokolovsky, G. B. Furman et al.National Research University Higher School of Economics; Ben-Gurion University of the Negev; Perm State Medical Academy
2026-10-14A transferable adversarial attack method via Loss Surface Guided Gradient OptimizationKnowledge-Based SystemsChuan Ye, Xiaoqing Yang, Yunhan Li et al.Southwest Petroleum University; Sichuan University; Huzhou College
2026-10-14Dynamic gain neuromodulation attenuates stability gaps during continual joint trainingNeural NetworksAlejandro Rodriguez-Garcia, Anindya Ghosh, Srikanth RamaswamyNewcastle University
2026-10-13Dual-prompt semantic decoupling and transfer for long-tailed recognitionNeural NetworksXiaohua Chen, Yue Wang, Yanbiao MaCommunication University of China; Xidian University; Renmin University of China
2026-10-09Semantic-Clustered Multimodal Prompt Tuning for long-tailed visual recognitionKnowledge-Based SystemsBinlong Dong, Yuge XuSouth China University of Technology
2026-10-09Test-time optimization for domain adaptive open vocabulary segmentationNeural NetworksUlindu De Silva, Didula Samaraweera, Sasini Wanigathunga et al.University of Moratuwa; Stony Brook University; Khalifa University of Science and Technology
2026-10-08Rank and data adaptive low-rank adaptation for 2-bit quantization-aware fine-tuning of ViTPattern RecognitionYuning Yang, Guowei Peng, Xiurui Xie et al.University of Electronic Science and Technology of China; Southwestern University of Finance and Economics
2026-10-07CGNC: Confidence-Guided Neighbor Consensus for semi-supervised learningKnowledge-Based SystemsAhmed Abbas Jaber, Mengzi Tang, Zhishu Shen et al.Wuhan University of Technology
2026-10-07When algorithms cannot be fair: constitutive and contingent discrimination and the limits of less-discriminatory alternativesAI & SocietyAlfredo Di GiorgioUniversity of Salento
Cite this page

Scholar4AI. (2026). ImageNet. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/imagenet

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).