Hakjun Lee

402 citations
35 papers · 253 · h-index 10

Impact in

Papers in

Hakjun Lee

27 papers receiving 244 citations

Peers

Hakjun Lee
Comparison fields: 5 of 59
  • Information Systems 157
  • Computer Networks and Communications 155
  • Signal Processing 41
  • Artificial Intelligence 57
  • Urban Studies 10
Replace Junjie Peng with:
Junjie Peng China
Adebukola Onashoga Nigeria
Ali Al-Sherbaz United Kingdom
Shahbaz Siddiqui Pakistan
Joseph Bugeja Sweden
Αλέξανδρος Καράκος Greece
Manghui Tu United States
Mudassar Hussain Pakistan
Jenny Torres Ecuador
Zinaida Benenson Germany
Hakjun Lee relative to Junjie Peng China Junjie Peng's profile →
Citations per field
00.5×1.5×2.5×
Junjie Peng · 1×
Citations per year

Countries citing papers authored by Hakjun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hakjun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Hakjun Lee, 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 Hakjun Lee Line = papers co-authored together Hakjun Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 201825
3 201823
4 202023
5 202018
6 202114
7 202114
8 202014
9 201512
10 202312
11 20239
12 20229
13 20228
14 20184
15 20253
16 20223
17 20242
18 20242
19 20182
20 20212

About Hakjun Lee

Hakjun Lee is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 35 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (14 papers), User Authentication and Security Systems (14 papers), Diverse Approaches in Healthcare and Education Studies (5 papers), Education and Learning Interventions (5 papers), Cryptography and Data Security (4 papers), Biometric Identification and Security (3 papers), Social and Cultural Dynamics (3 papers) and Security in Wireless Sensor Networks (3 papers). The work is most often cited by research in Information Systems (157 citations), Computer Networks and Communications (155 citations), Signal Processing (41 citations), Artificial Intelligence (57 citations) and Urban Studies (10 citations). Hakjun Lee has collaborated with scholars based in South Korea, Italy and United Kingdom. Frequent co-authors include Dongho Won, Hyoungshick Kim, Youngsook Lee, Jaewook Jung, Donghoon Lee, Ji-Won Moon, Sang‐Kyu Lim, Soohee Han, Robin J. Tyacke and Jonny Martell. Their work appears in journals such as Sensors, PLoS ONE, IEEE Access, Wireless Communications and Mobile Computing and Electronics.

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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