International Journal of Multimedia Information Retrieval

Papers
(The H4-Index of International Journal of Multimedia Information Retrieval is 18. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Video anomaly detection with memory-guided multilevel embedding95
Multiple object tracking under occlusions based on the stage-wise association strategy with weak cues76
VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias69
Recent trends in recommender systems: a survey64
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey60
Strengthening attention: knowledge distillation via cross-layer feature fusion for image classification38
Optimized data-cube search for enhanced video summarization via shot boundary detection32
Enhancing Facial Beauty Prediction via a Dual-Pathway Hybrid Architecture Integrating Vmamba and ViT32
Enhanced YOLOv10 for small object detection with context-aware and adaptive modules30
CSAM: Capsule spatial attention mask network for visual question answering30
VPC-VoxelNet: multi-modal fusion 3D object detection networks based on virtual point clouds28
DELIGHT-Net: DEep and LIGHTweight network to segment Indian text at word level from wild scenic images26
Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions24
Feature-NeuS: Neural Implicit Surface Reconstruction Using Feature Multi-View Consistency Constraint20
Prototype local–global alignment network for image–text retrieval19
MMDL: a multi-modal deep learning for video highlight detection in sports19
Hierarchical multi-modal fusion with vision transformers for robust action recognition in infrared-visible videos19
Similarity-based face image retrieval using sparsely embedded deep features and binary code learning18
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