Kohei Inoue

1.1k citations
112 papers · 739 indexed · h-index 12

Impact in

Papers in

Kohei Inoue

86 papers receiving 712 citations

Peers

Kohei Inoue
Comparison fields: 5 of 99
  • Computational Mathematics 30
  • Nuclear and High Energy Physics 371
  • Astronomy and Astrophysics 150
  • Computer Vision and Pattern Recognition 136
  • Computer Graphics and Computer-Aided Design 21
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Liangjian Wen China
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Citations per year

Countries citing papers authored by Kohei Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kohei Inoue. 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 Kohei Inoue. The network helps show where Kohei Inoue may publish in the future.

Co-authors

The 25 scholars most cited alongside Kohei Inoue, 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 Kohei Inoue Line = papers co-authored together Kohei Inoue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20213
3
AN EXAMPLE OF LANDING GEAR SHIMMY EXPERIENCE ON SMALL JET AIRCRAFT
20171
4
Image Contrast Enhancement by Interpolative Histogram Specification
20160
5 20151
6 20140
7 20101
8
Bootstrap Denoising of Images with Self-Cross Bilateral Filter
20102
9 20091
10
A Method for Measuring Comfortableness/Uncomfortableness of Human by Analyzing Facial Images
20060
11 20061
12 20060
13
Matrix principal component analysis for image compression and recognition
20051
14 20053
15
Adaptive image translation for painterly rendering
20050
16 20041
17
Continuous optimization for item selection in collaborative filtering
20042
18
Nonlinear scale spaces by iterated filtering of images
20031
19 20022
20 19901

About Kohei Inoue

Kohei Inoue is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 112 papers that have together received 739 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Image Enhancement Techniques (22 papers), Image and Signal Denoising Methods (18 papers), Advanced Image Fusion Techniques (10 papers), Computer Graphics and Visualization Techniques (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Color Science and Applications (9 papers) and Blind Source Separation Techniques (9 papers). The work is most often cited by research in Computational Mathematics (30 citations), Nuclear and High Energy Physics (371 citations), Astronomy and Astrophysics (150 citations), Computer Vision and Pattern Recognition (136 citations) and Computer Graphics and Computer-Aided Design (21 citations). Kohei Inoue has collaborated with scholars based in Japan, United States and Slovenia. Frequent co-authors include A. Kakuto, Kiichi Urahama, H. Komatsu, Kenji Hara, Hiroshi Takano, Minoru Taya, Dong Lin, Masaki Kondo, Masahiko Hashimoto and Naoyuki Fukuda. Their work appears in journals such as Progress of Theoretical Physics, The Journal of The Institute of Image Information and Television Engineers, Pattern Recognition Letters, ICT Express and International Journal of Radiation Oncology*Biology*Physics.

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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