Jonghyun Kim

1.3k citations
96 papers · 756 indexed · h-index 16

Jonghyun Kim

82 papers receiving 704 citations

Peers

Jonghyun Kim
Comparison fields: 5 of 88
  • Signal Processing 282
  • Computer Networks and Communications 444
  • Artificial Intelligence 286
  • Information Systems 189
  • Radiological and Ultrasound Technology 34
Replace Tingjian Ge with:
Tingjian Ge United States
Shunmei Meng China
Tiago Cruz Portugal
Shengyi Pan United States
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Jonghyun Kim relative to Tingjian Ge United States Tingjian Ge's profile →
Citations per field
00.5×4.3×
Tingjian Ge · 1×
Citations per year

Countries citing papers authored by Jonghyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jonghyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20241
5 20242
6 20242
7 20242
8 20232
9 20231
10 20233
11 20222
12 202113
13 202010
14 201996
15 201722
16
Effectiveness of Asynchronous Learning Networks in Teaching as a Supplement to Classroom Teaching: A Study from Perspective of Lecturers in National University of Singapore
20123
17
An Efficient Beacon Management Technique for Senor Network-Based Indoor Location Systems
20092
18
Sensor Network Simulator for Ubiquitous Application Development
20070
19
Development of Sensor Network Simulator for Estimating Power Consumption and Execution Time
20062
20
An Information Theory-based Approach to Modeling the Information Processing of NPP Operators
20024

About Jonghyun Kim

Jonghyun Kim is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 96 papers that have together received 756 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (34 papers), Advanced Malware Detection Techniques (30 papers), Internet Traffic Analysis and Secure E-voting (16 papers), Anomaly Detection Techniques and Applications (12 papers), Digital and Cyber Forensics (9 papers), Wireless Communication Security Techniques (6 papers), Security and Verification in Computing (6 papers) and Risk and Safety Analysis (6 papers). The work is most often cited by research in Signal Processing (282 citations), Computer Networks and Communications (444 citations) and Artificial Intelligence (286 citations). Jonghyun Kim has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Ikkyun Kim, Youngsoo Kim, Hyunjoo Kim, Jinoh Kim, Kijun Han, Sridhar Radhakrishnan, Sudarshan Dhall, Eul‐Bum Lee, Sang‐Yoon Chang and Kuinam J. Kim. Their work appears in journals such as IEEE Access, Annals of Nuclear Energy, Electronics, ETRI Journal and Australasian Journal of Paramedicine.

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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