Jihwan Jeong

618 citations
8 papers · 356 indexed · 1 hit paper · h-index 5
Topics
Domain Adaptation and Few-Shot Learning (2 papers)Network Security and Intrusion Detection (2 papers)Advanced Malware Detection Techniques (2 papers)
Journals
NeurocomputingComputers & Industrial EngineeringProceedings of the AAAI Conference on Artificial Intelligence
Partner nations
South KoreaCanada

In The Last Decade

Jihwan Jeong

7 papers receiving 349 citations

Hit Papers

Online continual learning in image classification: An emp...2021202620222024202150100150200

Peers

Jihwan Jeong
Comparison fields: 5 of 56
  • Artificial Intelligence 280
  • Computer Vision and Pattern Recognition 163
  • Radiology, Nuclear Medicine and Imaging 34
  • Electrical and Electronic Engineering 28
  • Signal Processing 23
Replace Norman Mu with:
Norman Mu United States
Saurav Kadavath United States
Yifan Fu Australia
Samyak Parajuli United States
Baosong Yang China
Maxinder S Kanwal Poland
Emmanuel Bengio Canada
Jan M. Köhler Germany
Haoli Bai China
Jihwan Jeong relative to Norman Mu United States Norman Mu's profile →
Citations per field
00.5×1.5×1.8×
Norman Mu · 1×
Citations per year

Countries citing papers authored by Jihwan Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Jihwan Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihwan Jeong

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 99
3
Online continual learning in image classification: An empirical surveybreakdown →
229
4 6
5 3
6 3
7 10
8 6

About Jihwan Jeong

Jihwan Jeong is a scholar working on Software, Signal Processing and Management Science and Operations Research, having authored 8 papers that have together received 356 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Network Security and Intrusion Detection (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Computer Vision and Pattern Recognition (163 citations) and Software (11 citations). Jihwan Jeong has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Scott Sanner, Hyunwoo Kim, Zheda Mai, Ruiwen Li, Jongseong Jang, Hayong Shin, Heejo Lee, Jonghoon Kwon, Je-Hyun Lee and Chong‐Min Kyung. Their work appears in journals such as Neurocomputing, Computers & Industrial Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.

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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