Tyng-Luh Liu

4.2k citations
68 papers · 2.5k indexed · 1 hit paper · h-index 22
Topics
Advanced Image and Video Retrieval Techniques (17 papers)Advanced Vision and Imaging (14 papers)Image Retrieval and Classification Techniques (12 papers)

In The Last Decade

Tyng-Luh Liu

65 papers receiving 2.4k citations

Hit Papers

Local Discriminant Embedding and Its Variants20052026201220192005100200300400

Peers

Tyng-Luh Liu
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 2.2k
  • Artificial Intelligence 509
  • Media Technology 384
  • Signal Processing 182
  • Computational Mechanics 173
Replace Chenglizhao Chen with:
Chenglizhao Chen China
Dacheng Tao Australia
Liang-Tien Chia Singapore
Hwann-Tzong Chen Taiwan
Deepu Rajan Singapore
Xingxing Wei China
Vibhav Vineet United Kingdom
Zhuolin Jiang United States
Congyan Lang China
Tyng-Luh Liu relative to Chenglizhao Chen China Chenglizhao Chen's profile →
Citations per field
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Chenglizhao Chen · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 5
5 1
6 9
7 0
8
Adaptive and Generative Zero-Shot Learning
17
9 2
10 1
11
Pixel-wise Deep Learning for Contour Detection
11
12
A Two-dimensional Direct Combined Model for Facial Hallucination.
4
13 262
14 90
15 72
16 79
17 41
18 21
19 1
20 88

About Tyng-Luh Liu

Tyng-Luh Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (17 papers), Advanced Vision and Imaging (14 papers) and Image Retrieval and Classification Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Media Technology (384 citations) and Sensory Systems (159 citations). Tyng-Luh Liu has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent 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, Min Sun and Hsien-Tzu Cheng. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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