Yusuke Uchida

1.2k citations
23 papers · 622 · h-index 8

Impact in

Papers in

Yusuke Uchida

20 papers receiving 610 citations

Peers

Yusuke Uchida
Comparison fields: 5 of 35
  • Hardware and Architecture 163
  • Computer Vision and Pattern Recognition 422
  • Artificial Intelligence 331
  • Automotive Engineering 28
  • Signal Processing 21
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Yingya Zhang China
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Zhiyuan Li United States
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Andrew C. Downton United Kingdom
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Yusuke Uchida relative to Yingya Zhang China Yingya Zhang's profile →
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Citations per year

Countries citing papers authored by Yusuke Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Yusuke Uchida, 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 Yusuke Uchida Line = papers co-authored together Yusuke Uchida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017444
2 201738
3 202432
4 201926
5 201312
6 201911
7
KDDI LABS and SRI International at TRECVID 2010: Content-Based Copy Detection.
20109
8 20169
9 20118
10 20128
11
KDDI LABS at TRECVID 2011: Content-Based Copy Detection.
20114
12 20103
13 20133
14 20143
15 20163
16 20122
17 20162
18 20202
19 20131
20 20161

About Yusuke Uchida

Yusuke Uchida is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Computer Science Applications, Experimental and Cognitive Psychology and Social Psychology, having authored 23 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (5 papers), Autonomous Vehicle Technology and Safety (2 papers), Digital Media Forensic Detection (2 papers), Image Enhancement Techniques (1 paper), Color Science and Applications (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Hardware and Architecture (163 citations), Computer Vision and Pattern Recognition (422 citations), Artificial Intelligence (331 citations), Automotive Engineering (28 citations) and Signal Processing (21 citations). Yusuke Uchida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigeyuki Sakazawa, Shin’ichi Satoh, Yuki Nagai, Hervé Jeǵou, Yusuke Matsui, Motilal Agrawal, Koichi Takagi, Jianming Wu, Yanan Wang and Yi Li. Their work appears in journals such as ITE Transactions on Media Technology and Applications, Lecture notes in computer science, IEICE Transactions on Information and Systems, INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION and TRECVID.

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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