Jia-Guu Leu

486 citations
23 papers · 357 indexed · h-index 10
Topics
Advanced Vision and Imaging (6 papers)Image Retrieval and Classification Techniques (5 papers)Medical Image Segmentation Techniques (4 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Jia-Guu Leu

22 papers receiving 321 citations

Peers

Jia-Guu Leu
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 263
  • Radiology, Nuclear Medicine and Imaging 55
  • Media Technology 47
  • Artificial Intelligence 43
  • Computational Mechanics 31
Replace P. Saint-Marc with:
P. Saint-Marc United States
Ben Appleton Australia
P. Brigger Switzerland
M.-P. Dubuisson-Jolly United States
Stéphanie Jehan‐Besson France
P. Vuylsteke Belgium
Yuming Jiang China
Tang Yu China
Sheshadri Thiruvenkadam United States
Laura Reden United States
Jia-Guu Leu relative to P. Saint-Marc United States P. Saint-Marc's profile →
Citations per field
00.5×10×14×
P. Saint-Marc · 1×
Citations per year

Countries citing papers authored by Jia-Guu Leu

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Guu Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Guu Leu. 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 Jia-Guu Leu. The network helps show where Jia-Guu Leu may publish in the future.

Co-authorship network of co-authors of Jia-Guu Leu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Guu Leu. A scholar is included among the top collaborators of Jia-Guu Leu 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 Jia-Guu Leu. Jia-Guu Leu 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
#WorkIndexed citations
1 1
2
Extension of Structural Watermarks Based on Balanced Incomplete Block Designs.
6
3 0
4 1
5 5
6 1
7 22
8 5
9 18
10 6
11 2
12 18
13 69
14 17
15 36
16 73
17 10
18 43
19 1
20 15

About Jia-Guu Leu

Jia-Guu Leu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (263 citations), Computer Graphics and Computer-Aided Design (24 citations) and Media Technology (47 citations). Jia-Guu Leu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Limin Chen, William G. Wee, Wei‐Hung Chen, Zhifang Yang, Wei Fang, Wengang Lu and Wei Chang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Pattern Recognition and Pattern Recognition Letters.

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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