Kai-Kuang Ma

1.9k citations
32 papers · 1.4k indexed · 1 hit paper · h-index 11

Kai-Kuang Ma

31 papers receiving 1.2k citations

Hit Papers

A switching median filter with boundary discriminative no...4242006202620122019100200300400

Peers

Kai-Kuang Ma
Comparison fields: 5 of 79
  • Media Technology 575
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 585
  • Computational Mechanics 87
  • Artificial Intelligence 76
Replace H. Hwang with:
H. Hwang South Korea
R.H. Bamberger United States
D. Androutsos Canada
Kenichi Arakawa Japan
Mohiy M. Hadhoud Egypt
Samuel Morillas Spain
J.F. Arnold Australia
A. Kundu United States
Shen‐Chuan Tai Taiwan
Roger L. Claypoole United States
Kai-Kuang Ma relative to H. Hwang South Korea H. Hwang's profile →
Citations per field
00.5×3.1×
H. Hwang · 1×
Citations per year

Countries citing papers authored by Kai-Kuang Ma

Since Specialization
Citations

This map shows the geographic impact of Kai-Kuang Ma's research. 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 Kai-Kuang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Kuang Ma more than expected).

Fields of papers citing papers by Kai-Kuang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Kuang Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai-Kuang Ma. The network helps show where Kai-Kuang Ma may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kai-Kuang Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai-Kuang Ma Line = papers co-authored together Kai-Kuang Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201717
2 20113
3 201012
4 20094
5 20076
6
A switching median filter with boundary discriminative noise detection for extremely corrupted imagesbreakdown →
2006424
7 20057
8 20054
9 20044
10 20043
11 20032
12 200337
13 20023
14 200213
15 20025
16 20020
17 20021
18 2001437
19 200017
20 19996

About Kai-Kuang Ma

Kai-Kuang Ma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (10 papers), Video Coding and Compression Technologies (10 papers), Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Image Processing Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Remote-Sensing Image Classification (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Media Technology (575 citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (585 citations). Kai-Kuang Ma has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include How‐Lung Eng, Shan Zhu, Canhui Cai, Huanqiang Zeng, Lu Gan, Jing Tian, Jiwen Lu, Tong J. Gan, Baojiang Zhong and Guoan Bi. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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