Howon Kim

4.2k citations
175 papers · 2.4k · 1 hit paper · h-index 23

Impact in

Papers in

Howon Kim

147 papers receiving 2.2k citations

Howon Kim's Hit Papers

Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection 2016 · 443 citations
4430+3+6Years since publication100200300400

Peers

Howon Kim
Comparison fields: 5 of 114
  • Signal Processing 547
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 1.3k
  • Information Systems 496
  • Computer Vision and Pattern Recognition 305
Replace Zhiyuan Tan with:
Zhiyuan Tan United Kingdom
Chai Kiat Yeo Singapore
Shen Su China
Antonio Montieri Italy
Hong Wen China
Priyadarsi Nanda Australia
Zheng Qin China
William G. Hatcher United States
Taeshik Shon South Korea
Libing Wu China
Howon Kim relative to Zhiyuan Tan United Kingdom Zhiyuan Tan's profile →
Citations per field
00.5×1.5×
Zhiyuan Tan · 1×
Citations per year

Countries citing papers authored by Howon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Howon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection
Hit paper breakdown →
2016443
2 2017121
3 2022116
4 2017106
5 2022101
6 201981
7 202171
8 202065
9 201655
10 201853
11 201549
12 201447
13 202242
14 201842
15 201638
16 202332
17 202132
18 201725
19 201024
20 201223

About Howon Kim

Howon Kim is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 175 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (41 papers), Coding theory and cryptography (37 papers), Cryptography and Residue Arithmetic (37 papers), Cryptographic Implementations and Security (33 papers), Chaos-based Image/Signal Encryption (20 papers), Network Security and Intrusion Detection (18 papers), Advanced Malware Detection Techniques (16 papers) and Innovation in Digital Healthcare Systems (11 papers). The work is most often cited by research in Signal Processing (547 citations), Computer Networks and Communications (1.1k citations), Artificial Intelligence (1.3k citations), Information Systems (496 citations) and Computer Vision and Pattern Recognition (305 citations). Howon Kim has collaborated with scholars based in South Korea, Luxembourg and Indonesia. Frequent co-authors include Thi-Thu-Huong Le, Jihyun Kim, Jae‐Hyun Kim, Hwajeong Seo, Hyoeun Kang, Yustus Eko Oktian, Yongsu Kim, Harashta Tatimma Larasati, Zhe Liu and Donggeon Lee. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, Sustainability and ETRI Journal.

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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