Young-Guk Ha

826 total citations
60 papers, 519 citations indexed

About

Young-Guk Ha is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Young-Guk Ha has authored 60 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 21 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Young-Guk Ha's work include Advanced Neural Network Applications (12 papers), Robotics and Automated Systems (11 papers) and Context-Aware Activity Recognition Systems (10 papers). Young-Guk Ha is often cited by papers focused on Advanced Neural Network Applications (12 papers), Robotics and Automated Systems (11 papers) and Context-Aware Activity Recognition Systems (10 papers). Young-Guk Ha collaborates with scholars based in South Korea, Thailand and United States. Young-Guk Ha's co-authors include Joo-Chan Sohn, Sung-Min Kim, Young-Jo Cho, Seong-Hun Park, Hyunsoo Yoon, Myoung‐jae Lee, Yung-Cheol Byun, Heemin Kim, Sung‐Hoon Kim and Myung-Jae Lee and has published in prestigious journals such as Information Sciences, IEEE Transactions on Automation Science and Engineering and Soft Computing.

In The Last Decade

Young-Guk Ha

56 papers receiving 475 citations

Peers

Young-Guk Ha
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 182
  • Computer Networks and Communications 127
  • Artificial Intelligence 117
  • Electrical and Electronic Engineering 103
  • Control and Systems Engineering 97
Replace Wenjiang Ji with:
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Zhenyu Yin China
Yousef‐Awwad Daraghmi Palestinian Territory
Emmanouil Koukoumidis United States
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Wenjiang Ji China View profile →
Citations per field, relative to Young-Guk Ha
Young-Guk Ha · 1×
Citations per year, relative to Young-Guk Ha
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Countries citing papers authored by Young-Guk Ha

Since Specialization
Citations

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

Fields of papers citing papers by Young-Guk Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Guk Ha. 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 Young-Guk Ha. The network helps show where Young-Guk Ha may publish in the future.

Co-authorship network of co-authors of Young-Guk Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Guk Ha. A scholar is included among the top collaborators of Young-Guk Ha 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 Young-Guk Ha. Young-Guk Ha 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 2
2 18
3 16
4 25
5 70
6 1
7 7
8 8
9 3
10 9
11 2
12 5
13
Indoor location recognition system using environmental sensors
1
14 1
15 5
16 1
17 18
18 0
19 1
20 25

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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