Heecheol Yang

501 citations
18 papers · 320 · h-index 10

Impact in

Papers in

Heecheol Yang

18 papers receiving 318 citations

Peers

Heecheol Yang
Comparison fields: 5 of 32
  • Computer Networks and Communications 131
  • Artificial Intelligence 156
  • Electrical and Electronic Engineering 135
  • Computational Theory and Mathematics 33
  • Information Systems 24
Replace Gaurav Mittal with:
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Thomas R. Halford United States
Guy Bégin Canada
Alexey Frolov Russia
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Olivier Blazy France
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Heecheol Yang relative to Gaurav Mittal United States Gaurav Mittal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heecheol Yang

Since Specialization
Citations

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

Fields of papers citing papers by Heecheol Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Heecheol Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heecheol Yang Line = papers co-authored together Heecheol Yang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201874
2 202359
3 201856
4 201728
5 201921
6 201514
7 201712
8 201510
9 20179
10 20179
11 20168
12 20207
13 20155
14 20163
15 20162
16 20171
17 20231
18 20231

About Heecheol Yang

Heecheol Yang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering and Infectious Diseases, having authored 18 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Cryptography and Data Security (6 papers), Wireless Communication Security Techniques (6 papers), Full-Duplex Wireless Communications (5 papers), Privacy-Preserving Technologies in Data (5 papers), Stochastic Gradient Optimization Techniques (5 papers), Cooperative Communication and Network Coding (4 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (131 citations), Artificial Intelligence (156 citations), Electrical and Electronic Engineering (135 citations), Computational Theory and Mathematics (33 citations) and Information Systems (24 citations). Heecheol Yang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jungwoo Lee, Wonjae Shin, H. Vincent Poor, Junghyun Kim, Byonghyo Shim, Howon Lee, Seungnyun Kim, Byungju Lee, Mojtaba Vaezi and Navid Naderializadeh. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Wireless Communications, IEEE Communications Letters, IEEE Transactions on Communications and IEEE Signal Processing Letters.

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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