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Shaojun Hua

dblp:247/5549 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%
Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › document image analysis
character recognition		 0.412019
Graph-matching-based character recognition for Chinese seal images · Sci. China Inf. Sci. 2019
Graph algorithms and graph theory
graph matching		 0.412019
Graph-matching-based character recognition for Chinese seal images · Sci. China Inf. Sci. 2019

Methods — techniques the papers use, named apart from their topics

graph matching · 0.8
YearPublicationVenuePosition
2019 Graph-matching-based character recognition for Chinese seal images
Bin Sun 0001, Shaojun Hua, Shutao Li 0001, Jun Sun 0004
 Sci. China Inf. Sci.2