J. Liao

12 total papers · 748 total citations
8 papers, 520 citations indexed

About

J. Liao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, J. Liao has authored 8 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Electrical and Electronic Engineering. Recurrent topics in J. Liao's work include Advanced Data Compression Techniques (4 papers), Digital Filter Design and Implementation (3 papers) and Image and Signal Denoising Methods (2 papers). J. Liao is often cited by papers focused on Advanced Data Compression Techniques (4 papers), Digital Filter Design and Implementation (3 papers) and Image and Signal Denoising Methods (2 papers). J. Liao collaborates with scholars based in United States, China and Hong Kong. J. Liao's co-authors include Benjamin J. Belzer, John Villasenor, K.L. Oehler, R. Talluri, Guimei Zhang, Shaoping Chen, Guojie Hu, Fengchao Zhu, Chengxin Zhao and Y. Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Communications Letters.

In The Last Decade

J. Liao

7 papers receiving 472 citations

Author Peers

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

Author Last Decade Papers Cites
J. Liao 453 208 98 35 24 8 520
Bryan Usevitch 376 0.8× 191 0.9× 56 0.6× 22 0.6× 27 1.1× 21 458
Güner S. Robinson 385 0.8× 117 0.6× 93 0.9× 41 1.2× 14 0.6× 17 534
Claude L. Patterson 388 0.9× 103 0.5× 90 0.9× 33 0.9× 7 0.3× 8 596
A. Ikonomopoulos 475 1.0× 115 0.6× 89 0.9× 11 0.3× 15 0.6× 5 500
E. Abreu 501 1.1× 189 0.9× 312 3.2× 25 0.7× 12 0.5× 8 567
Thomas S. Huang 326 0.7× 46 0.2× 75 0.8× 32 0.9× 10 0.4× 14 481
Yi-Fei Pu 246 0.5× 85 0.4× 129 1.3× 28 0.8× 14 0.6× 12 453
Martin P. Boliek 486 1.1× 206 1.0× 52 0.5× 16 0.5× 18 0.8× 17 518
Roger L. Claypoole 397 0.9× 111 0.5× 141 1.4× 44 1.3× 17 0.7× 22 527
Peter Wendt 388 0.9× 150 0.7× 76 0.8× 29 0.8× 24 1.0× 6 547

Countries citing papers authored by J. Liao

Since Specialization
Citations

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

Fields of papers citing papers by J. Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Liao

This figure shows the co-authorship network connecting the top 25 collaborators of J. Liao. A scholar is included among the top collaborators of J. 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 J. Liao. J. Liao 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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