Jae‐Hyun Kim

483 total papers · 3.9k total citations
262 papers, 2.7k citations indexed

About

Jae‐Hyun Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Jae‐Hyun Kim has authored 262 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Computer Networks and Communications, 120 papers in Electrical and Electronic Engineering and 77 papers in Aerospace Engineering. Recurrent topics in Jae‐Hyun Kim's work include Advanced Wireless Network Optimization (44 papers), Wireless Communication Networks Research (34 papers) and UAV Applications and Optimization (30 papers). Jae‐Hyun Kim is often cited by papers focused on Advanced Wireless Network Optimization (44 papers), Wireless Communication Networks Research (34 papers) and UAV Applications and Optimization (30 papers). Jae‐Hyun Kim collaborates with scholars based in South Korea, United States and Japan. Jae‐Hyun Kim's co-authors include Jae-Ryong Cha, Howon Kim, Jihyun Kim, Thi-Thu-Huong Le, Soyi Jung, Joongheon Kim, Won Joon Yun, Sung-Min Oh, MyungJae Shin and Soohyun Park and has published in prestigious journals such as Chemical Engineering Journal, Chemosphere and IEEE Access.

In The Last Decade

Jae‐Hyun Kim

218 papers receiving 2.5k citations

Hit Papers

Long Short Term Memory Re... 2016 2026 2019 2022 2016 2022 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jae‐Hyun Kim 1.2k 1.1k 542 510 395 262 2.7k
Rashid A. Saeed 1.2k 1.0× 1.2k 1.2× 410 0.8× 396 0.8× 124 0.3× 221 2.5k
Wenyu Qu 1.2k 1.0× 796 0.8× 162 0.3× 497 1.0× 271 0.7× 178 2.3k
Mohamed Hadi Habaebi 956 0.8× 1.1k 1.0× 363 0.7× 452 0.9× 85 0.2× 313 2.5k
Ammar Hawbani 1.6k 1.4× 1.2k 1.1× 601 1.1× 546 1.1× 150 0.4× 194 3.3k
Abdellah Chehri 713 0.6× 1.2k 1.2× 329 0.6× 477 0.9× 241 0.6× 240 2.9k
Ruchuan Wang 1.9k 1.7× 1.6k 1.5× 400 0.7× 753 1.5× 324 0.8× 369 4.1k
Rosdiadee Nordin 1.8k 1.6× 3.2k 3.0× 804 1.5× 224 0.4× 360 0.9× 250 4.5k
Panagiotis Demestichas 1.9k 1.6× 1.7k 1.7× 334 0.6× 299 0.6× 202 0.5× 232 3.3k
Qi Wang 1.3k 1.1× 768 0.7× 437 0.8× 264 0.5× 176 0.4× 245 2.7k
Eli De Poorter 1.9k 1.6× 3.1k 2.9× 909 1.7× 508 1.0× 126 0.3× 206 4.4k

Countries citing papers authored by Jae‐Hyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Hyun Kim. 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 Jae‐Hyun Kim. The network helps show where Jae‐Hyun Kim may publish in the future.

Co-authorship network of co-authors of Jae‐Hyun Kim

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

All Works

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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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