Gwang-Hoon Park

1.1k citations
4 papers · 841 indexed · 1 hit paper · h-index 3
Topics
Video Coding and Compression Technologies (2 papers)Peer-to-Peer Network Technologies (1 paper)Error Correcting Code Techniques (1 paper)
Partner nations
South KoreaUnited States

In The Last Decade

Gwang-Hoon Park

3 papers receiving 826 citations

Hit Papers

Learning and generalization characteristics of the random...19942026200420151994250500750

Peers

Gwang-Hoon Park
Comparison fields: 5 of 102
  • Artificial Intelligence 603
  • Computer Vision and Pattern Recognition 254
  • Electrical and Electronic Engineering 173
  • Control and Systems Engineering 125
  • Environmental Engineering 42
Replace Martin A. Kraaijveld with:
Martin A. Kraaijveld Netherlands
Weiwei Zong United States
Jianqing Zhang China
Rakesh Katuwal Singapore
Jinsha Yuan China
Chun-Yang Zhang China
Nabil Neggaz Algeria
Minghao Chen China
Zhenyu Lei Japan
Khamron Sunat Thailand
Gwang-Hoon Park relative to Martin A. Kraaijveld Netherlands Martin A. Kraaijveld's profile →
Citations per field
00.5×3.5×
Martin A. Kraaijveld · 1×
Citations per year

Countries citing papers authored by Gwang-Hoon Park

Since Specialization
Citations

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

Fields of papers citing papers by Gwang-Hoon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwang-Hoon Park. 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 Gwang-Hoon Park. The network helps show where Gwang-Hoon Park may publish in the future.

Co-authorship network of co-authors of Gwang-Hoon Park

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4
Learning and generalization characteristics of the random vector functional-link netbreakdown →
836

About Gwang-Hoon Park

Gwang-Hoon Park is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 4 papers that have together received 841 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (2 papers), Peer-to-Peer Network Technologies (1 paper) and Error Correcting Code Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (603 citations), Computer Vision and Pattern Recognition (254 citations) and Control and Systems Engineering (125 citations). Gwang-Hoon Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include D.J. Šobajić, Yoh‐Han Pao, Doug Young Suh and Kyung‐Yong Kim. Their work appears in journals such as Neurocomputing and IEICE Transactions on Information and Systems.

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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