Haneul Ko

1.8k citations
115 papers · 1.2k · h-index 20

Impact in

Papers in

Haneul Ko

106 papers receiving 1.2k citations

Peers

Haneul Ko
Comparison fields: 5 of 59
  • Computer Networks and Communications 810
  • Electrical and Electronic Engineering 714
  • Computer Science Applications 57
  • Automotive Engineering 123
  • Information Systems 163
Replace Feng Zeng with:
Feng Zeng China
Yacine Ghamri-Doudane France
Junhao Feng China
Young‐June Choi South Korea
Wenhao Fan China
Guoming Tang China
Xuxun Liu China
Junggab Son South Korea
Jingdong Xu China
Haneul Ko relative to Feng Zeng China Feng Zeng's profile →
Citations per field
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Feng Zeng · 1×
Citations per year

Countries citing papers authored by Haneul Ko

Since Specialization
Citations

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

Fields of papers citing papers by Haneul Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haneul Ko, 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 Haneul Ko Line = papers co-authored together Haneul Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 201862
3 201554
4 202047
5 202144
6 201841
7 202036
8 202130
9 202129
10 201829
11 202225
12 201325
13 201725
14 202324
15 202023
16 202223
17 201922
18 202220
19 201720
20 202019

About Haneul Ko

Haneul Ko is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (29 papers), IoT and Edge/Fog Computing (27 papers), Age of Information Optimization (16 papers), Cooperative Communication and Network Coding (14 papers), Software-Defined Networks and 5G (13 papers), Caching and Content Delivery (13 papers), Energy Harvesting in Wireless Networks (13 papers) and Privacy-Preserving Technologies in Data (12 papers). The work is most often cited by research in Computer Networks and Communications (810 citations), Electrical and Electronic Engineering (714 citations), Computer Science Applications (57 citations), Automotive Engineering (123 citations) and Information Systems (163 citations). Haneul Ko has collaborated with scholars based in South Korea, Canada and China. Frequent co-authors include Sangheon Pack, Jaewook Lee, Victor C. M. Leung, Dongeun Suh, Giwon Lee, Yeunwoong Kyung, Hochan Lee, Wonjun Lee, Younghyun Kim and Xuemin Shen. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Access, Sensors and IEEE Transactions on Mobile Computing.

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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