Impact Factor
4.96
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
17.15
15,411 total citations
h5-index
149
h5 depth signal
Cited share
96.9%
929 of 959
Total citations
15,411
Citation footprint
Metric signal
13.00
External metric anchor
Self-citation
6.2%
955 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
China
4,470
United States
983
Australia
440
Singapore
383
United Kingdom
353
Citing Fields of Research
Computer Vision & Graphics
5,506
AI & Machine Learning
3,195
Cybersecurity
734
Robotics
646
Remote Sensing
325
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
12,376
Articles tracked across the journal lifetime
Indexed publication set
959
929 cited publications
Last 12 months
922
92.2 publications/month
Open access share
1.7%
16 OA publications in the last year
Leading citing country
China
4,470 citing publications
Leading citing field
Computer Vision & Graphics
5,506 citing publications
Latest tracked publication
13 July 2026
10 recent records available
Coverage & Indexing History
v13n1, Jan. 2004-
v13n1, Jan. 2004-
Active Coverage
Research Focus & Classification
Indexed Subjects
Computer Vision & Graphics
AI & Machine Learning
Issuing & Sponsoring Bodies
Contributor
IEEE Signal Processing Society
Contributor
Institute of Electrical and Electronics Engineers
Broad Categories
Medical Informatics
Computer Vision & Graphics
MeSH Descriptors
Image Processing, Computer-Assisted
Signal Processing, Computer-Assisted
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1109/tip.2026.3703728
Open DOI
Semantic Composition via Optimal Transport for Composed Image Retrieval.
Given a reference image, composed image retrieval aims to search for the target image from the image gallery with a modification sentence. The complicated semantic relationships within the composed query to comprehend the preserved visua...
02
DOI 10.1109/tip.2026.3707796
Open DOI
Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking.
Large-scale Vision-Language Models (VLMs) have achieved notable progress in aligning visual inputs with text. However, their ability to deeply understand the unique physical properties of non-RGB vision sensor images remains limited. In ...
03
DOI 10.1109/tip.2026.3709463
Open DOI
Probabilistic-based Learning for Joint Light Field Image Compression and Enhancement under Low-Light Conditions.
Light field (LF) imaging has attracted increasing research interest in challenging illumination conditions due to its ability to provide rich spatial and angular cues. However, such data present dual challenges: (1) the inherent multi-vi...
04
DOI 10.1109/tip.2026.3709459
Open DOI
Granular Information Bottleneck for Deep Multi-modal Clustering.
Deep multi-modal clustering generally focuses on improving clustering accuracy by leveraging information from different modalities. However, existing methods are designed around the finest-grained points as input, neglecting the relation...
05
DOI 10.1109/tip.2026.3709515
Open DOI
Perceptual Geometry Distortion Assessment of Compressed 3D Meshes.
The evaluation of perceptual quality in 3D mesh compression, particularly for Video-based Dynamic Mesh Coding (V-DMC), is challenged by the scarcity of subject-rated datasets and the high computational cost of full-mesh decoding and the ...
06
DOI 10.1109/tip.2026.3709466
Open DOI
Progressive Hybrid Pseudo-Labeling for Unsupervised Domain Adaptation with Ascending Low-Rank Adaptation.
Unsupervised domain adaptation (UDA) based on large vision-language models (VLMs) has recently demonstrated strong generalization ability, yet it remains fundamentally challenged by noisy pseudo-labels and inefficient adaptation under la...
07
DOI 10.1109/tip.2026.3709505
Open DOI
Lightweight Temporal-frequency Perception Sparse State Space Models for Unified Image Restoration.
Unified image restoration has become a fundamental issue in image processing. State space models have demonstrated significant potential in image restoration. However, their multi-directional scanning mechanism may introduce computationa...
08
DOI 10.1109/tip.2026.3707793
Open DOI
LSR-Diff: A Diffusion Model Synthesizing Level Set Representations for Reliable Segmentation of Medical Images with Ambiguous Edges.
Accurate boundary segmentation is critical for high-stakes applications such as disease diagnosis, yet remains challenging due to complex topology, boundary ambiguity, and annotation uncertainty. Diffusion Probabilistic Models (DPMs) gen...
09
DOI 10.1109/tip.2026.3708050
Open DOI
Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation.
Meta-learning aims to uniformly sample homologous support-query pairs, characterized by the same categories and similar attributes, and extract useful inductive biases through identical network architectures. However, this identical netw...
10
DOI 10.1109/tip.2026.3685069
Open DOI
Text-Driven Relation Manipulation of Diffusion Imagery
Text-guided image manipulation has recently attracted significant attention. Prevailing algorithms predominantly focus on modifying the appearances of existing instances, such as texture and attribute editing, while they often fail to ad...
Bibliographical & Catalog Notes
Title from cover.
Latest issue consulted: Vol. 13, no. 1 (Jan. 2004).
Print issues ceased with v. 27 (2018).
Also issued in microfiche and online.