Jiwon Kim

2.1k citations
27 papers · 1.1k indexed · 2 hit papers · h-index 12

Jiwon Kim

19 papers receiving 1.1k citations

Hit Papers

CNN-Based Network Intrusion Detection against Denial-of-S...2732017202620202023100200300

Peers

Jiwon Kim
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 554
  • Signal Processing 264
  • Computer Graphics and Computer-Aided Design 66
  • Media Technology 111
  • Artificial Intelligence 393
Replace Masao Sakauchi with:
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Liu Ren United States
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Jiwon Kim relative to Masao Sakauchi Japan Masao Sakauchi's profile →
Citations per field
00.5×10×20×25.8×
Masao Sakauchi · 1×
Citations per year

Countries citing papers authored by Jiwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jiwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20240
5 20231
6 20221
7 202213
8 202162
9 20215
10
CNN-Based Network Intrusion Detection against Denial-of-Service Attacksbreakdown →
2020273
11 202017
12 20183
13
Learning to Discover Cross-Domain Relations with Generative Adversarial Networksbreakdown →
2017386
14 20170
15 20172
16
Impact of Star Advertisement Model's Image on Brand Image and Purchasing Behavior -Focused on Outdoor Brands-
20151
17 201453
18 201215
19 200943
20 2002103

About Jiwon Kim

Jiwon Kim is a scholar working on Computer Vision and Pattern Recognition, Developmental Biology and Applied Psychology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Video Analysis and Summarization (2 papers), Network Security and Intrusion Detection (2 papers), Digital Mental Health Interventions (2 papers), Mental Health Research Topics (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (554 citations), Signal Processing (264 citations) and Computer Graphics and Computer-Aided Design (66 citations). Jiwon Kim has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Taek‐Soo Kim, Hyun-Soo Kim, Jiyeon Kim, Eunjung Choi, Steven M. Seitz, Hani S. Mahmassani, Unil Yun, Yukyung Choi, Hyeongjun Kim and Namil Kim. Their work appears in journals such as Expert Systems with Applications, Sensors and International Journal of Computer Vision.

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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