Yuh-Rau Wang

555 citations
23 papers · 420 indexed · h-index 10
Topics
Digital Image Processing Techniques (8 papers)Advanced Steganography and Watermarking Techniques (6 papers)Interconnection Networks and Systems (5 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Yuh-Rau Wang

21 papers receiving 392 citations

Peers

Yuh-Rau Wang
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 320
  • Media Technology 84
  • Artificial Intelligence 44
  • Computer Networks and Communications 43
  • Signal Processing 32
Replace Mahdi Rabbani with:
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Citations per field
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Citations per year

Countries citing papers authored by Yuh-Rau Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuh-Rau Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuh-Rau Wang. 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 Yuh-Rau Wang. The network helps show where Yuh-Rau Wang may publish in the future.

Co-authorship network of co-authors of Yuh-Rau Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuh-Rau Wang. A scholar is included among the top collaborators of Yuh-Rau Wang 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 Yuh-Rau Wang. Yuh-Rau Wang 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 12
2 6
3 6
4
A Novel CUSUM Median Control Chart
11
5 2
6 30
7 50
8 67
9
Fast license plate localization using discrete wavelet transform
4
10 64
11 2
12 6
13 5
14 2
15 18
16 1
17 13
18 11
19
An O(1) Time Parallel Algorithm for the 3D Euclidean Distance Transform on the AROB
2
20
Optimal Parallel Algorithms for the 3D Euclidean Distance Transform on the CRCW and EREW PRAM Models
2

About Yuh-Rau Wang

Yuh-Rau Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 23 papers that have together received 420 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (8 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (320 citations), Media Technology (84 citations) and Industrial and Manufacturing Engineering (30 citations). Yuh-Rau Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wei‐Hung Lin, Shi‐Jinn Horng, Tzong‐Wann Kao, Ling Yang, Yi Pan, Ling Yang, Hui-Ling Huang, Ray-Shine Run, Jui‐Lin Lai and Rong‐Jian Chen. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

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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