Jaehyuk Cha

1.8k citations
86 papers · 1.2k indexed · h-index 18
Topics
Advanced Data Storage Technologies (17 papers)Caching and Content Delivery (14 papers)Diverse Approaches in Healthcare and Education Studies (9 papers)

In The Last Decade

Jaehyuk Cha

69 papers receiving 1.1k citations

Peers

Jaehyuk Cha
Comparison fields: 5 of 118
  • Computer Networks and Communications 386
  • Artificial Intelligence 300
  • Computer Vision and Pattern Recognition 219
  • Radiology, Nuclear Medicine and Imaging 200
  • Hardware and Architecture 169
Replace S. Ravi with:
S. Ravi India
Wei Hu China
Samir Elmougy Egypt
Asadollah Shahbahrami Iran
Monika Sachdeva India
Atef Zaguia Saudi Arabia
P. Karthigaikumar India
Sangmin Lee South Korea
Shahram Latifi United States
N.I. Chervyakov Russia
Jaehyuk Cha relative to S. Ravi India S. Ravi's profile →
Citations per field
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S. Ravi · 1×
Citations per year

Countries citing papers authored by Jaehyuk Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jaehyuk Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehyuk Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyuk Cha. A scholar is included among the top collaborators of Jaehyuk Cha 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 Jaehyuk Cha. Jaehyuk Cha 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
#WorkIndexed citations
1 0
2 0
3 5
4 0
5 4
6 33
7 6
8 6
9 5
10 5
11 1
12 1
13 17
14 9
15 1
16 100
17 3
18
Evaluation on the Economic Value of Instant Replay System in Korean Professional Baseball League Using Contingent Valuation Method
1
19
Does Competitive Balance Effects on Attendance Increase in Korean Professional Baseball League
1
20
The KEM OWL Binding
1

About Jaehyuk Cha

Jaehyuk Cha is a scholar working on Hardware and Architecture, Health Information Management and Computer Networks and Communications, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Caching and Content Delivery (14 papers) and Diverse Approaches in Healthcare and Education Studies (9 papers). The work is most often cited by research in Hardware and Architecture (169 citations), Computer Networks and Communications (386 citations) and Computer Vision and Pattern Recognition (219 citations). Jaehyuk Cha has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Sooyong Kang, Muhammad Attique Khan, Usman Tariq, Hwan-Seung Yong, Sung‐Min Park, Muhammad Sharif, Samuel P. Kozaitis, Sungroh Yoon, Youjip Won and Jongmoo Choi. Their work appears in journals such as Scientific Reports, Neuroscience and IEEE Access.

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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