Jaheon Gu

569 citations
26 papers · 437 · h-index 10

Impact in

Papers in

Jaheon Gu

25 papers receiving 419 citations

Peers

Jaheon Gu
Comparison fields: 5 of 36
  • Computer Networks and Communications 286
  • Fluid Flow and Transfer Processes 54
  • Electrical and Electronic Engineering 325
  • Computational Mechanics 83
  • Environmental Engineering 24
Replace Pei Zhou with:
Pei Zhou China
S. Ramakrishna United States
Pascal Schaub Australia
Risto Vuohtoniemi Finland
Jianjun Li China
Tonámetl Sánchez Mexico
S. Niranjayan Canada
Byung Jang Jeong South Korea
Geneviève Baudoin France
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Citations per year

Countries citing papers authored by Jaheon Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jaheon Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jaheon Gu, 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 Jaheon Gu Line = papers co-authored together Jaheon Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201189
2 201170
3 201953
4 201538
5 201937
6 201530
7 201517
8 201012
9 201310
10 201310
11 20149
12 20138
13 20127
14 20237
15 20136
16 20155
17 20145
18 20164
19 20204
20 20154

About Jaheon Gu

Jaheon Gu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality, having authored 26 papers that have together received 437 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (17 papers), Advanced Wireless Network Optimization (13 papers), Wireless Communication Networks Research (6 papers), Cooperative Communication and Network Coding (6 papers), Combustion and flame dynamics (4 papers), Wireless Networks and Protocols (4 papers), Advanced Combustion Engine Technologies (3 papers) and Fire Detection and Safety Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (286 citations), Fluid Flow and Transfer Processes (54 citations), Electrical and Electronic Engineering (325 citations), Computational Mechanics (83 citations) and Environmental Engineering (24 citations). Jaheon Gu has collaborated with scholars based in South Korea, New Zealand and Hong Kong. Frequent co-authors include Min Young Chung, Sueng Jae Bae, Bum‐Gon Choi, Kyu Tae Kim, Syed Faraz Hasan, Syed Faraz Hasan, Larry K.B. Li, Syed Tariq Shah, Jungha Lee and Jun Suk Kim. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Combustion and Flame, EURASIP Journal on Wireless Communications and Networking, Pervasive and Mobile Computing and Wireless Networks.

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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