Yiting Liao

480 total citations
26 papers, 197 citations indexed

About

Yiting Liao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yiting Liao has authored 26 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Yiting Liao's work include Video Coding and Compression Technologies (8 papers), Image and Video Quality Assessment (8 papers) and Advanced Data Compression Techniques (6 papers). Yiting Liao is often cited by papers focused on Video Coding and Compression Technologies (8 papers), Image and Video Quality Assessment (8 papers) and Advanced Data Compression Techniques (6 papers). Yiting Liao collaborates with scholars based in United States, Taiwan and China. Yiting Liao's co-authors include Shiao‐Wei Kuo, Yung‐Chih Lin, Jerry D. Gibson, Cheng-Chih Wu, Mu Li, Junlin Li, Li Yang, Kede Ma, Alexis M. Tourapis and Lark Kwon Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Macromolecules and Scientific Reports.

In The Last Decade

Yiting Liao

25 papers receiving 188 citations

Peers

Yiting Liao
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 58
  • Polymers and Plastics 58
  • Materials Chemistry 54
  • Mechanical Engineering 39
  • Computer Networks and Communications 37
Replace Zhijia Chen with:
Zhijia Chen China
S. Dhanasekar India
Yueli Hu China
Bo-Han Wu China
Harshit Gupta India
Massoud Masoumi Iran
Yin Gao China
Chih‐Ting Liu Taiwan
S. Rajakumar India
Qirui Wu China
Zhijia Chen China View profile →
Citations per field, relative to Yiting Liao
Yiting Liao · 1×
Citations per year, relative to Yiting Liao
Yiting Liao · 1×

Countries citing papers authored by Yiting Liao

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yiting Liao. 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 Yiting Liao. The network helps show where Yiting Liao may publish in the future.

Co-authorship network of co-authors of Yiting Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Yiting Liao. A scholar is included among the top collaborators of Yiting Liao 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 Yiting Liao. Yiting Liao 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 0
2 1
3 2
4 8
5 1
6 6
7 3
8 1
9 4
10 3
11 80
12 24
13
Video QoE Models for the Compute Continuum
3
14 2
15 3
16 20
17 1
18 4
19 2
20 2

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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