Jiun-In Guo

59 total papers · 955 total citations
43 papers, 710 citations indexed

About

Jiun-In Guo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Jiun-In Guo has authored 43 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 26 papers in Signal Processing and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Jiun-In Guo's work include Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (16 papers) and Digital Filter Design and Implementation (14 papers). Jiun-In Guo is often cited by papers focused on Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (16 papers) and Digital Filter Design and Implementation (14 papers). Jiun-In Guo collaborates with scholars based in Taiwan, United States and Czechia. Jiun-In Guo's co-authors include Jui-Cheng Yen, Jinn‐Shyan Wang, Chien‐Chang Lin, Chein-Wei Jen, Hsiu-Cheng Chang, Tian‐Sheuan Chang, Jiawei Chen, Kuan‐Hung Chen, Yuan‐Sun Chu and Ching‐Wen Chen and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Consumer Electronics.

In The Last Decade

Jiun-In Guo

41 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Jiun-In Guo 552 331 121 111 106 43 710
Sundararaman Rajagopalan 529 1.0× 51 0.2× 125 1.0× 70 0.6× 195 1.8× 56 726
Elaine B. Barker 424 0.8× 81 0.2× 108 0.9× 112 1.0× 497 4.7× 25 835
Xiaoqiang Zhu 407 0.7× 94 0.3× 94 0.8× 224 2.0× 148 1.4× 19 692
Safwan El Assad 616 1.1× 109 0.3× 149 1.2× 63 0.6× 247 2.3× 74 758
Achraf Daoui 691 1.3× 97 0.3× 77 0.6× 39 0.4× 139 1.3× 47 877
Jun Lang 536 1.0× 66 0.2× 45 0.4× 28 0.3× 142 1.3× 53 781
Saad Bouguezel 427 0.8× 448 1.4× 114 0.9× 169 1.5× 22 0.2× 53 654
Syam Sankar 471 0.9× 45 0.1× 89 0.7× 46 0.4× 181 1.7× 25 666
Honggang Hu 279 0.5× 81 0.2× 126 1.0× 181 1.6× 494 4.7× 58 699
Padmapriya Praveenkumar 599 1.1× 34 0.1× 158 1.3× 86 0.8× 167 1.6× 55 798

Countries citing papers authored by Jiun-In Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jiun-In Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiun-In Guo. 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 Jiun-In Guo. The network helps show where Jiun-In Guo may publish in the future.

Co-authorship network of co-authors of Jiun-In Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jiun-In Guo. A scholar is included among the top collaborators of Jiun-In Guo 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 Jiun-In Guo. Jiun-In Guo 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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