Yung-Cheol Byun

4.5k citations
158 papers · 2.8k indexed · h-index 29
Topics
Blockchain Technology Applications and Security (17 papers)Advanced Battery Technologies Research (14 papers)Energy Load and Power Forecasting (12 papers)

In The Last Decade

Yung-Cheol Byun

149 papers receiving 2.7k citations

Peers

Yung-Cheol Byun
Comparison fields: 5 of 148
  • Information Systems 701
  • Electrical and Electronic Engineering 674
  • Artificial Intelligence 596
  • Computer Vision and Pattern Recognition 442
  • Computer Networks and Communications 381
Replace Priyan Malarvizhi Kumar with:
Priyan Malarvizhi Kumar India
Rasheed Hussain Russia
Xiao‐Zhi Gao Finland
Ammar Hawbani China
Sachin Kumar India
Shengzhong Feng China
Moez Krichen Tunisia
Rongfang Bie China
Ashutosh Sharma India
Jules White United States
Yung-Cheol Byun relative to Priyan Malarvizhi Kumar India Priyan Malarvizhi Kumar's profile →
Citations per field
00.5×3.7×
Priyan Malarvizhi Kumar · 1×
Citations per year

Countries citing papers authored by Yung-Cheol Byun

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Cheol Byun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung-Cheol Byun. 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 Yung-Cheol Byun. The network helps show where Yung-Cheol Byun may publish in the future.

Co-authorship network of co-authors of Yung-Cheol Byun

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

All Works

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8 27
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10 33
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PERFORMANCE ENHANCEMENT THROUGH COMMUNICATION OFFLOADING FOR ENERGY EFFICIENCY ON MOBILE CLOUD COMPUTATION
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About Yung-Cheol Byun

Yung-Cheol Byun is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Health Information Management, having authored 158 papers that have together received 2.8k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (17 papers), Advanced Battery Technologies Research (14 papers) and Energy Load and Power Forecasting (12 papers). The work is most often cited by research in Information Systems (701 citations), Automotive Engineering (359 citations) and Computer Vision and Pattern Recognition (442 citations). Yung-Cheol Byun has collaborated with scholars based in South Korea, Philippines and India. Frequent co-authors include Zeinab Shahbazi, Prince Waqas Khan, Sadiqa Jafari, Namje Park, Debapriya Hazra, Amreen Batool, Subhajit Chatterjee, Sang-Joon Lee, Sang-Joon Lee and Eali Stephen Neal Joshua. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Access and Energy.

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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