Taesup Moon

2.7k citations
63 papers · 1.5k · 1 hit paper · h-index 16

Impact in

Papers in

Taesup Moon

58 papers receiving 1.5k citations

Taesup Moon's Hit Papers

Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks 2015 · 516 citations
5160+3+7Years since publication100200300400500

Peers

Taesup Moon
Comparison fields: 5 of 120
  • Aerospace Engineering 500
  • Computer Vision and Pattern Recognition 288
  • Artificial Intelligence 363
  • Biomedical Engineering 414
  • Environmental Engineering 104
Replace Maryam Imani with:
Maryam Imani Iran
John E. Ball United States
Yuzhe Yang China
Eros Pasero Italy
Qinghe Zheng China
Alex Pappachen James Kazakhstan
Shih‐Hau Fang Taiwan
Chao Zhang China
Aihua Zhang China
Taesup Moon relative to Maryam Imani Iran Maryam Imani's profile →
Citations per field
00.5×3.8×
Maryam Imani · 1×
Citations per year

Countries citing papers authored by Taesup Moon

Since Specialization
Citations

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

Fields of papers citing papers by Taesup Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks
Hit paper breakdown →
2015516
2 2020106
3 2016102
4 2019102
5 201999
6 201166
7 201552
8 201940
9 201940
10 201732
11 201027
12
An unbiased offline evaluation of contextual bandit algorithms with generalized linear models
201119
13 201019
14 202117
15
Uncertainty-based Continual Learning with Adaptive Regularization
201917
16 200816
17 201215
18 201715
19 202214
20 202413

About Taesup Moon

Taesup Moon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Bandit Algorithms Research (7 papers), Advanced Image Processing Techniques (5 papers), Advanced SAR Imaging Techniques (5 papers), Image and Signal Denoising Methods (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Multimodal Machine Learning Applications (4 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Aerospace Engineering (500 citations), Computer Vision and Pattern Recognition (288 citations), Artificial Intelligence (363 citations), Biomedical Engineering (414 citations) and Environmental Engineering (104 citations). Taesup Moon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Youngwook Kim, Sungmin Cha, Juyeon Heo, Jinhee Park, Yi Chang, Zhaohui Zheng, Sunghwan Joo, Tsachy Weissman, Byungjoon Kwon and Yang Liu. Their work appears in journals such as IEEE Access, IEEE Transactions on Signal Processing, IEEE Geoscience and Remote Sensing Letters, Korean Journal of Chemical Engineering and IEEE Transactions on Information Theory.

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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