Ping‐Sing Tsai

608 total citations
14 papers, 380 citations indexed

About

Ping‐Sing Tsai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Ping‐Sing Tsai has authored 14 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Media Technology. Recurrent topics in Ping‐Sing Tsai's work include Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Ping‐Sing Tsai is often cited by papers focused on Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Ping‐Sing Tsai collaborates with scholars based in United States, South Korea and Taiwan. Ping‐Sing Tsai's co-authors include Tinku Acharya, Hyun Mun Kim, Elizabeth Bent, Jing Huang and Jian Mou and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Machine Vision and Applications and PubMed.

In The Last Decade

Ping‐Sing Tsai

14 papers receiving 344 citations

Peers

Ping‐Sing Tsai
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 328
  • Signal Processing 149
  • Media Technology 52
  • Artificial Intelligence 49
  • Computer Networks and Communications 17
Replace Martin P. Boliek with:
Martin P. Boliek United States
Francesc Aulí-Llinàs Spain
Fang Cao China
A. Ikonomopoulos Switzerland
S. Panchanathan Canada
Francisco García-Ugalde Mexico
Farah Torkamani‐Azar Iran
Radu Preda Romania
N. Chaddha United States
Peter Meerwald Austria
Martin P. Boliek United States View profile →
Citations per field, relative to Ping‐Sing Tsai
Ping‐Sing Tsai · 1×
Citations per year, relative to Ping‐Sing Tsai
Ping‐Sing Tsai · 1×

Countries citing papers authored by Ping‐Sing Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Sing Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping‐Sing Tsai. 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 Ping‐Sing Tsai. The network helps show where Ping‐Sing Tsai may publish in the future.

Co-authorship network of co-authors of Ping‐Sing Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Ping‐Sing Tsai. A scholar is included among the top collaborators of Ping‐Sing Tsai 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 Ping‐Sing Tsai. Ping‐Sing Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1
Intelligent sensitivity tracking of manufacturing tool tuning
1
2
Sensitivity Integrity for tool monitoring, tuning and matching
2
3 2
4 3
5 4
6 34
7 33
8 15
9 20
10 15
11 2
12
JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures
158
13 90
14 1

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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