Heesung Kwon

102 papers receiving 2.0k citations

Heesung Kwon's Hit Papers

Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery 2005 · 644 citations
6440+7+14Years since publication200400600

Peers

Heesung Kwon
Comparison fields: 5 of 90
  • Media Technology 1.4k
  • Atmospheric Science 726
  • Computer Vision and Pattern Recognition 656
  • Computational Mathematics 12
  • Analytical Chemistry 176
Replace Weiying Xie with:
Weiying Xie China
Mingyang Zhang China
Yang Xu China
Le Sun China
Xiaorui Ma China
Xin Wu China
Amit Banerjee United States
Xiaoguang Mei China
Xianghai Cao China
Heesung Kwon relative to Weiying Xie China Weiying Xie's profile →
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Countries citing papers authored by Heesung Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Heesung Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery
Hit paper breakdown →
2005644
2 2003145
3 2019117
4 2006115
5 201659
6 200553
7 201952
8 202048
9 200646
10 200643
11 200741
12 201238
13 201329
14 201128
15 202225
16 200624
17 201224
18 201621
19 201919
20 200518

About Heesung Kwon

Heesung Kwon is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Aerospace Engineering, Atmospheric Science and Artificial Intelligence, having authored 107 papers that have together received 2.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (59 papers), Remote Sensing and Land Use (25 papers), Infrared Target Detection Methodologies (20 papers), Advanced Chemical Sensor Technologies (18 papers), Advanced Neural Network Applications (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (11 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Media Technology (1.4k citations), Atmospheric Science (726 citations), Computer Vision and Pattern Recognition (656 citations), Computational Mathematics (12 citations) and Analytical Chemistry (176 citations). Heesung Kwon has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nasser M. Nasrabadi, Prudhvi Gurram, Hyungtae Lee, Sungmin Eum, John G. Rogers, Maggie Wigness, David K. Han, Rama Chellappa, Tao Han and Benjamin M. Marlin. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems and Optical Engineering.

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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