IET Image Processing

37.0k citations
3.2k papers · · active since 1950

Impact in

    • Image and Signal Denoising Methods
    • Image Enhancement Techniques
    • Advanced Steganography and Watermarking Techniques
    • Advanced Image Processing Techniques
    • Chaos-based Image/Signal Encryption
    • Digital Media Forensic Detection
    • Advanced Image and Video Retrieval Techniques
    • Advanced Image Fusion Techniques

Papers in

    • Image and Signal Denoising Methods 523
    • Advanced Image Processing Techniques 442
    • Image Enhancement Techniques 406
    • Medical Image Segmentation Techniques 343
    • Advanced Vision and Imaging 342
    • Advanced Image and Video Retrieval Techniques 312
    • Video Surveillance and Tracking Methods 275
    • Advanced Image Fusion Techniques 460

IET Image Processing

3.0k papers receiving 35.4k citations

Peers

IET Image Processing
Comparison fields: 5 of 215
  • Computer Vision and Pattern Recognition 25.1k
  • Media Technology 8.6k
  • Signal Processing 2.6k
  • Radiology, Nuclear Medicine and Imaging 3.8k
  • Neurology 1.3k
Replace Signal Image and Video Processing with:
Signal Image and Video Processing China
Machine Vision and Applications China
Journal of Electronic Imaging China
Computers & Electrical Engineering China
Pattern Analysis and Applications China
Journal of Medical Systems United States
Journal of Visual Communication and Image Representation China
International Journal of Imaging Systems and Technology United States
Journal of Ambient Intelligence and Humanized Computing China
Computers, materials & continua/Computers, materials & continua (Print) China
IET Image Processing relative to Signal Image and Video Processing China Signal Image and Video Processing's profile →
Citations per field
00.5×1.6×
Signal Image and Video Processing · 1×
Citations per year

Countries where authors publish in IET Image Processing

Since Specialization
Citations

This map shows the geographic impact of research published in IET Image Processing. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in IET Image Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IET Image Processing more than expected).

Fields of papers published in IET Image Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IET Image Processing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IET Image Processing.

About IET Image Processing

The 3.2k papers published in IET Image Processing in the last decades have received a total of 37.0k indexed citations . Papers published in IET Image Processing usually cover Computer Vision and Pattern Recognition (2.7k papers), Media Technology (780 papers), Signal Processing (311 papers), Computer Graphics and Computer-Aided Design (67 papers) and Radiology, Nuclear Medicine and Imaging (255 papers) specifically the topics of Image and Signal Denoising Methods (523 papers), Advanced Image Fusion Techniques (460 papers), Advanced Image Processing Techniques (442 papers), Image Enhancement Techniques (406 papers), Medical Image Segmentation Techniques (343 papers), Advanced Vision and Imaging (342 papers), Advanced Image and Video Retrieval Techniques (312 papers) and Video Surveillance and Tracking Methods (275 papers). The most active scholars publishing in IET Image Processing are Zengfu Wang, Yü Liu, M. Emre Celebi, Karim Mokrani, Reda Kasmi, Tao Lei, Risheng Wang, Asoke K. Nandi, Bingtao Zhang and Hongying Meng.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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