Masato Kawade

739 total citations
21 papers, 461 citations indexed

About

Masato Kawade is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Masato Kawade has authored 21 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Masato Kawade's work include Face and Expression Recognition (10 papers), Face recognition and analysis (6 papers) and Video Surveillance and Tracking Methods (6 papers). Masato Kawade is often cited by papers focused on Face and Expression Recognition (10 papers), Face recognition and analysis (6 papers) and Video Surveillance and Tracking Methods (6 papers). Masato Kawade collaborates with scholars based in Japan, China and United States. Masato Kawade's co-authors include Shihong Lao, Yong Ma, Takayoshi Yamashita, Haizhou Ai, Jun Luo, Bao‐Liang Lu, Yuan Li, Eiki Tsushima, Minoru Miwa and Tadashi Ohsawa and has published in prestigious journals such as Journal of Applied Polymer Science, The Journal of The Institute of Image Information and Television Engineers and Proceedings - International Conference on Pattern Recognition.

In The Last Decade

Masato Kawade

19 papers receiving 436 citations

Peers

Masato Kawade
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 367
  • Artificial Intelligence 98
  • Mechanics of Materials 46
  • Signal Processing 45
  • Mechanical Engineering 45
Replace Yanping Li with:
Yanping Li China
Kao-Hua Chang United States
Xin Zhan China
Lv Tang China
Paul Upchurch United States
Jingchun Cheng China
Deyang Liu China
Yen‐Chang Huang Taiwan
Vishal Chudasama India
Yanping Li China View profile →
Citations per field, relative to Masato Kawade
Masato Kawade · 1×
Citations per year, relative to Masato Kawade
Masato Kawade · 1×

Countries citing papers authored by Masato Kawade

Since Specialization
Citations

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

Fields of papers citing papers by Masato Kawade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Kawade

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Kawade. A scholar is included among the top collaborators of Masato Kawade based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masato Kawade. Masato Kawade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 32
3 8
4 3
5 7
6 2
7 1
8
Perturbation Feature and It's Apprication to Shape Model Fitting for Facial Images
1
9 1
10
0
11 3
12 1
13 3
14 65
15 107
16 29
17 138
18 1
19
Age perception from facial image : Toward the construction of the system for age estimation
1
20 1

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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