Tyng-Luh Liu

123 total papers · 4.2k total citations
68 papers, 2.5k citations indexed

About

Tyng-Luh Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tyng-Luh Liu has authored 68 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Tyng-Luh Liu's work include Advanced Image and Video Retrieval Techniques (17 papers), Advanced Vision and Imaging (14 papers) and Image Retrieval and Classification Techniques (12 papers). Tyng-Luh Liu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Advanced Vision and Imaging (14 papers) and Image Retrieval and Classification Techniques (12 papers). Tyng-Luh Liu collaborates with scholars based in Taiwan, United States and Slovenia. Tyng-Luh Liu's co-authors include Hwann-Tzong Chen, Shang‐Hong Lai, Yen‐Yu Lin, Chiou‐Shann Fuh, Davi Geiger, Horng-Horng Lin, Jen‐Hui Chuang, Ding-Jie Chen, Robert V. Kohn and Jin‐Dong Dong and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Tyng-Luh Liu

65 papers receiving 2.4k citations

Hit Papers

Local Discriminant Embedd... 2005 2026 2012 2019 2005 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tyng-Luh Liu 2.2k 504 385 182 171 68 2.5k
Liang-Tien Chia 1.7k 0.8× 512 1.0× 322 0.8× 236 1.3× 280 1.6× 106 2.3k
Hwann-Tzong Chen 2.2k 1.0× 362 0.7× 286 0.7× 153 0.8× 323 1.9× 57 2.5k
Shengfeng He 2.8k 1.3× 509 1.0× 580 1.5× 103 0.6× 103 0.6× 158 3.4k
Muwei Jian 1.8k 0.8× 385 0.8× 408 1.1× 69 0.4× 106 0.6× 139 2.6k
Yen‐Yu Lin 2.0k 0.9× 610 1.2× 340 0.9× 164 0.9× 123 0.7× 113 2.6k
Dacheng Tao 2.1k 1.0× 909 1.8× 304 0.8× 137 0.8× 106 0.6× 52 2.8k
Deepu Rajan 2.2k 1.0× 253 0.5× 463 1.2× 180 1.0× 60 0.4× 120 2.7k
Zhijun Fang 1.9k 0.9× 637 1.3× 451 1.2× 202 1.1× 116 0.7× 157 3.0k
Brian Price 3.0k 1.4× 435 0.9× 549 1.4× 55 0.3× 79 0.5× 84 3.4k
Jun Xu 1.5k 0.7× 371 0.7× 652 1.7× 125 0.7× 182 1.1× 79 2.2k

Countries citing papers authored by Tyng-Luh Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tyng-Luh Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyng-Luh Liu. 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 Tyng-Luh Liu. The network helps show where Tyng-Luh Liu may publish in the future.

Co-authorship network of co-authors of Tyng-Luh Liu

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

All Works

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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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