Jyh-Jong Tsay

488 total citations
37 papers, 267 citations indexed

About

Jyh-Jong Tsay is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jyh-Jong Tsay has authored 37 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Jyh-Jong Tsay's work include Web Data Mining and Analysis (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Algorithms and Data Compression (7 papers). Jyh-Jong Tsay is often cited by papers focused on Web Data Mining and Analysis (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Algorithms and Data Compression (7 papers). Jyh-Jong Tsay collaborates with scholars based in Taiwan, United States and Canada. Jyh-Jong Tsay's co-authors include Michael T. Goodrich, Darren Erik Vengroff, Jeffrey Scott Vitter, Shih-Chieh Su, W. Li, Mikhail J. Atallah, Frank Dehne, Andrew Rau‐Chaplin, Russ Miller and Chao‐Cheng Chen and has published in prestigious journals such as International Journal of Molecular Sciences, Information Processing & Management and Artificial Intelligence in Medicine.

In The Last Decade

Jyh-Jong Tsay

34 papers receiving 248 citations

Peers

Jyh-Jong Tsay
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 105
  • Artificial Intelligence 82
  • Computer Networks and Communications 67
  • Signal Processing 54
  • Computer Graphics and Computer-Aided Design 49
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Citations per field, relative to Jyh-Jong Tsay
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Citations per year, relative to Jyh-Jong Tsay
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Countries citing papers authored by Jyh-Jong Tsay

Since Specialization
Citations

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

Fields of papers citing papers by Jyh-Jong Tsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyh-Jong Tsay. 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 Jyh-Jong Tsay. The network helps show where Jyh-Jong Tsay may publish in the future.

Co-authorship network of co-authors of Jyh-Jong Tsay

This figure shows the co-authorship network connecting the top 25 collaborators of Jyh-Jong Tsay. A scholar is included among the top collaborators of Jyh-Jong Tsay 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 Jyh-Jong Tsay. Jyh-Jong Tsay 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 1
2 2
3 60
4 12
5 3
6 1
7 6
8 4
9
An efficient garment visual search based on shape context
2
10 7
11 1
12 4
13 0
14 4
15 0
16 4
17 6
18
Implementation and Evaluation of Scalable Approaches for Automatic Chinese Text Categorization
1
19
Searching tree structures on a mesh of processors
2
20 9

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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