International Journal of Multimedia Information Retrieval

Papers
(The TQCC of International Journal of Multimedia Information Retrieval is 7. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial: web of science and scopus impact in IJMIR408
Towards a high robust neural network via feature matching112
Video anomaly detection with memory-guided multilevel embedding56
VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias51
Recent trends in recommender systems: a survey46
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey38
Strengthening attention: knowledge distillation via cross-layer feature fusion for image classification37
DELIGHT-Net: DEep and LIGHTweight network to segment Indian text at word level from wild scenic images26
VPC-VoxelNet: multi-modal fusion 3D object detection networks based on virtual point clouds25
Enhanced YOLOv10 for small object detection with context-aware and adaptive modules24
A local representation-enhanced recurrent convolutional network for image captioning22
Prototype local–global alignment network for image–text retrieval21
Feature-NeuS: Neural Implicit Surface Reconstruction Using Feature Multi-View Consistency Constraint18
MMDL: a multi-modal deep learning for video highlight detection in sports17
Similarity-based face image retrieval using sparsely embedded deep features and binary code learning16
Visual and semantic ensemble for scene text recognition with gated dual mutual attention15
CAMIR: fine-tuning CLIP and multi-head cross-attention mechanism for multimodal image retrieval with sketch and text features15
How can users’ comments posted on social media videos be a source of effective tags?15
DC-GNN: drop channel graph neural network for object classification and part segmentation in the point cloud15
Human behavior recognition based on DualBiNet model14
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis13
Semantic-enhanced discriminative embedding learning for cross-modal retrieval12
Multimodal music datasets? Challenges and future goals in music processing12
Few2Decide: towards a robust model via using few neuron connections to decide12
An emotion-driven, transformer-based network for multimodal fake news detection11
Generative adversarial networks for 2D-based CNN pose-invariant face recognition11
Human action recognition using an optical flow-gated recurrent neural network11
Cross-domain image retrieval: methods and applications11
DAF-Net: dense attention feature pyramid network for multiscale object detection11
MFAFD: a few-shot learning method for cascading models with parameter free attention and finite discrete space11
State of art and emerging trends on group recommender system: a comprehensive review11
Weighted semantic feature based self-supervised deep cross-modal hashing10
Multi-view learning for camouflaged object detection with PVTv210
Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks9
Concept-based and embedding-based models in lifelog retrieval: an empirical comparison of performance9
Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review9
InceptionDepth-wiseYOLOv2: improved implementation of YOLO framework for pedestrian detection9
Optical music recognition for homophonic scores with neural networks and synthetic music generation8
Multi-sensor human activity recognition using CNN and GRU8
Study of Alzheimer’s disease brain impairment and methods for its early diagnosis: a comprehensive survey8
FOF: a fine-grained object detection and feature extraction end-to-end network8
A voting-based novel spatio-temporal fusion framework for video saliency using transfer learning mechanism7
RGBD deep multi-scale network for background subtraction7
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