Pattern Analysis and Applications

Papers
(The H4-Index of Pattern Analysis and Applications is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Attention-based supervised contrastive learning on fine-grained image classification87
Animal re-identification in video through track clustering56
Affective annotation of videos from EEG-based crowdsourcing55
Masked cosine similarity prediction for self-supervised skeleton-based action representation learning47
Structured regularization with object size selection using mathematical morphology46
MDAAF: masked domain adversarial adaptation framework for unsupervised domain adaptive semantic segmentation34
FORT-RAJ: a fisheye-optimized deep learning model for real-time trajectory prediction34
Image-text relationship-based feature interaction networks for multimodal aspect-based sentiment analysis27
An efficient dermatological lesion diagnosis method based on U-shape architecture26
MSFM-UNET: enhancing medical image segmentation with multi-scale and multi-view frequency fusion24
Multicriteria decision making analysis based on Fermatean fuzzy distance measure and entropy measure with application in COVID-1923
Multimodal biometric crypto system for human authentication using ear and palm print20
Ghost-HRNet: a lightweight high-resolution network for efficient human pose estimation with enhanced multi-scale feature fusion19
CP decomposition-based algorithms for completion problem of motion capture data18
Body landmark detection with an extremely small dataset using transfer learning18
A semantic-aware monocular projection model for accurate pose measurement17
Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming16
Single-stage convolutional neural radiance fields16
Improving distantly supervised named entity recognition by emphasizing uncertain examples16
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