Ji Won Yoon

1.2k total citations
69 papers, 731 citations indexed

About

Ji Won Yoon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ji Won Yoon has authored 69 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Ji Won Yoon's work include Cryptography and Data Security (8 papers), Advanced Malware Detection Techniques (8 papers) and Chaos-based Image/Signal Encryption (7 papers). Ji Won Yoon is often cited by papers focused on Cryptography and Data Security (8 papers), Advanced Malware Detection Techniques (8 papers) and Chaos-based Image/Signal Encryption (7 papers). Ji Won Yoon collaborates with scholars based in South Korea, United Kingdom and Ireland. Ji Won Yoon's co-authors include Hyoungshick Kim, Francesco Calabrese, Fabio Pinelli, Andreas Bruckbauer, David Klenerman, Jun Ho Huh, Hye Lim Lee, P S James, Dejian Zhou and Yuri E. Korchev and has published in prestigious journals such as PLoS ONE, Water Research and Biophysical Journal.

In The Last Decade

Ji Won Yoon

59 papers receiving 687 citations

Peers

Countries citing papers authored by Ji Won Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Ji Won Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Won Yoon. 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 Ji Won Yoon. The network helps show where Ji Won Yoon may publish in the future.

Co-authorship network of co-authors of Ji Won Yoon

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach 2025 ·Atmospheric measurement techniques ·(unknown), Ji Won Yoon, Seon Ki Park	0
2	Evaluation of dust emission and land surface schemes in predicting a mega Asian dust storm over South Korea using WRF-Chem 2025 ·Geoscientific model development ·Ji Won Yoon, (unknown), Ebony Lee, Seon Ki Park	1
3	Detection of Defects on Cut-Out Switches in High-Resolution Images Based on YOLOv5 Algorithm 2024 ·Journal of Electrical Engineering and Technology ·Young Jun Kim, (unknown), (unknown), Ji Won Yoon	2
4	Primary Factors and Synoptic Pattern Classification of Mega Asian Dust Storms in Korea 2024 ·Asia-Pacific Journal of Atmospheric Sciences ·(unknown), Ji Won Yoon, Seon Ki Park	2
5	Invasion of location privacy using online map services and smartphone sensors 2023 ·(unknown), (unknown), Ji Won Yoon	1
6	Clock Offset Estimation for Systems With Asymmetric Packet Delays 2023 ·IEEE/ACM Transactions on Networking ·(unknown), (unknown), Jongkil Park, (unknown), Ji Won Yoon	10
7	Reconsidering mercury sources and exposure pathways to bivalves: Insights from mercury stable isotopes 2023 ·Water Research ·(unknown), Sae Yun Kwon, (unknown), Scott C. Brooks, Ji Won Yoon, (unknown)	6
8	The impact of COVID-19 on cryptocurrency markets: A network analysis based on mutual information 2022 ·PLoS ONE ·(unknown), Ji Won Yoon	17
9	Combinational Optimization of the WRF Physical Parameterization Schemes to Improve Numerical Sea Breeze Prediction Using Micro-Genetic Algorithm 2021 ·Applied Sciences ·Ji Won Yoon, (unknown), Seon Ki Park	14
10	t-BMPNet: Trainable Bitwise Multilayer Perceptron Neural Network over Fully Homomorphic Encryption Scheme 2021 ·Security and Communication Networks ·(unknown), Ji Won Yoon	2
11	An Automated End-to-End Side Channel Analysis Based on Probabilistic Model 2020 ·Applied Sciences ·(unknown), Ji Won Yoon	1
12	A global sampler of single particle tracking solutions for single molecule microscopy 2019 ·PLoS ONE ·Michael Hirsch, (unknown), Ji Won Yoon, Daniel J. Rolfe, Laura C. Zanetti-Domingues, Michael P. Hobson, Peter J. Parker, Marisa L. Martin-Fernandez, Sumeetpal S. Singh	1
13	A Bitwise Design and Implementation for Privacy-Preserving Data Mining: From Atomic Operations to Advanced Algorithms 2019 ·Security and Communication Networks ·(unknown), (unknown), (unknown), Ji Won Yoon	6
14	PD-FDS: Purchase Density based Online Credit Card Fraud Detection System 2017 ·Knowledge Discovery and Data Mining ·(unknown), Ji Won Yoon	5
15	Classification of home appliance by using Probabilistic KNN with sensor data 2016 ·(unknown), Ji Won Yoon	10
16	Proceedings - 2015 IEEE Security and Privacy Workshops, SPW 2015 2015 ·(unknown), Hye Lim Lee, Ji Won Yoon	39
17	A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra 2010 ·International Conference on Artificial Intelligence and Statistics ·Ji Won Yoon, Simon Wilson, K. Hun Mok	1
18	Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling 2009 ·Neural Networks ·Ji Won Yoon, Stephen Roberts, Matthew Dyson, John Q. Gan	17
19	Nanopipette Delivery of Individual Molecules to Cellular Compartments for Single-Molecule Fluorescence Tracking 2007 ·Biophysical Journal ·Andreas Bruckbauer, P S James, Dejian Zhou, Ji Won Yoon, (unknown), Yuri E. Korchev, Roy Jones, David Klenerman	85
20	Bayesian inference for multidimensional NMR image reconstruction 2006 ·Cambridge University Engineering Department Publications Database ·Ji Won Yoon, Simon Godsill	6

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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