Dong Kun Noh

1.3k citations
55 papers · 933 indexed · 1 hit paper · h-index 14
Topics
Energy Efficient Wireless Sensor Networks (40 papers)Energy Harvesting in Wireless Networks (39 papers)Mobile Ad Hoc Networks (11 papers)

In The Last Decade

Dong Kun Noh

50 papers receiving 880 citations

Hit Papers

Attribute-Based Access Control with Efficient Revocation ...20102026201520202010100200300400

Peers

Dong Kun Noh
Comparison fields: 5 of 49
  • Computer Networks and Communications 479
  • Artificial Intelligence 414
  • Electrical and Electronic Engineering 388
  • Information Systems 285
  • Mechanical Engineering 83
Replace Joon-Woo Lee with:
Joon-Woo Lee South Korea
Nabila Labraoui Algeria
Zenghua Zhao China
Peter Langendöerfer Germany
S. Mini India
Xiaosong Zhang China
Jonathan Hart United States
S. V. N. Santhosh Kumar India
Arsalan Tavakoli United States
Ruitao Xie China
Dong Kun Noh relative to Joon-Woo Lee South Korea Joon-Woo Lee's profile →
Citations per field
00.5×6.3×
Joon-Woo Lee · 1×
Citations per year

Countries citing papers authored by Dong Kun Noh

Since Specialization
Citations

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

Fields of papers citing papers by Dong Kun Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Kun Noh. 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 Dong Kun Noh. The network helps show where Dong Kun Noh may publish in the future.

Co-authorship network of co-authors of Dong Kun Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Kun Noh. A scholar is included among the top collaborators of Dong Kun Noh 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 Dong Kun Noh. Dong Kun Noh 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 1
3 19
4 5
5 6
6 3
7 13
8 8
9 6
10 6
11
Efficient Data-replication between Cluster-heads for Solar-powered Wireless Sensor Networks with Mobile Sinks
1
12
Efficient and secure identity-based onion routing
2
13 8
14
Adaptive Data Aggregation and Compression Scheme for Wireless Sensor Networks with Energy-Harvesting Nodes
1
15 29
16 5
17 10
18 1
19 28
20 0

About Dong Kun Noh

Dong Kun Noh is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 55 papers that have together received 933 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (40 papers), Energy Harvesting in Wireless Networks (39 papers) and Mobile Ad Hoc Networks (11 papers). The work is most often cited by research in Computer Networks and Communications (479 citations), Artificial Intelligence (414 citations) and Information Systems (285 citations). Dong Kun Noh has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Junbeom Hur, Kyungtae Kang, Heonshik Shin, Tarek Abdelzaher, Yong Yang, Hieu Khac Le, Lili Wang, Jun Yi, Dong‐Eun Lee and Semi Jeong. Their work appears in journals such as IEEE Access, Sensors and Energies.

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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