Youngdoo Son

1.2k total citations
47 papers, 842 citations indexed

About

Youngdoo Son is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Youngdoo Son has authored 47 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Youngdoo Son's work include Anomaly Detection Techniques and Applications (9 papers), Face and Expression Recognition (4 papers) and Time Series Analysis and Forecasting (4 papers). Youngdoo Son is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Face and Expression Recognition (4 papers) and Time Series Analysis and Forecasting (4 papers). Youngdoo Son collaborates with scholars based in South Korea, United States and India. Youngdoo Son's co-authors include Muhammad Fazal Ijaz, Muhammad Attique, Jaewook Lee, Wonjoon Kim, Yung-Seop Lee, Sangho Lee, Sekyoung Youm, Myong K. Jeong, M. Raheel Bhutta and Shashi Bhushan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Youngdoo Son

45 papers receiving 806 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youngdoo Son South Korea 15 309 127 103 92 79 47 842
Kamil Dimililer Cyprus 15 178 0.6× 217 1.7× 59 0.6× 40 0.4× 70 0.9× 63 706
Olga Valenzuela Spain 18 462 1.5× 163 1.3× 157 1.5× 44 0.5× 77 1.0× 84 1.1k
Chaosheng Tang China 15 389 1.3× 286 2.3× 68 0.7× 128 1.4× 110 1.4× 55 1.1k
Mohsin Ali United States 10 215 0.7× 88 0.7× 138 1.3× 39 0.4× 45 0.6× 36 745
Maria Habib Jordan 18 408 1.3× 38 0.3× 59 0.6× 157 1.7× 50 0.6× 42 872
Sankhadeep Chatterjee India 20 338 1.1× 337 2.7× 117 1.1× 45 0.5× 72 0.9× 75 1.2k
Rafael Magdalena‐Benedito Spain 16 372 1.2× 135 1.1× 115 1.1× 30 0.3× 78 1.0× 51 912
Samir I. Shaheen Egypt 13 279 0.9× 281 2.2× 137 1.3× 97 1.1× 60 0.8× 76 932
Chao Tong China 16 343 1.1× 535 4.2× 174 1.7× 209 2.3× 167 2.1× 66 1.2k
Gaurav Gupta India 19 376 1.2× 252 2.0× 56 0.5× 148 1.6× 107 1.4× 88 1.4k

Countries citing papers authored by Youngdoo Son

Since Specialization
Citations

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

Fields of papers citing papers by Youngdoo Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngdoo Son

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

All Works

20 of 20 papers shown
1.
2.
Lee, Sangho, et al.. (2025). Black-box adversarial examples via frequency distortion against fault diagnosis systems. Applied Soft Computing. 171. 112828–112828. 1 indexed citations
3.
Lee, Sangho, et al.. (2024). Relation-preserving masked modeling for semi-supervised time-series classification. Information Sciences. 681. 121213–121213. 1 indexed citations
4.
Lee, Sangho, et al.. (2024). Deep time-series clustering via latent representation alignment. Knowledge-Based Systems. 303. 112434–112434. 5 indexed citations
5.
Kim, Hoki, et al.. (2024). Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method. Engineering Applications of Artificial Intelligence. 130. 107980–107980. 4 indexed citations
6.
Son, Youngdoo, et al.. (2024). Group-Exclusive Feature Group Lasso and Applications to Automatic Sensor Selection for Virtual Metrology in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing. 37(4). 505–517. 3 indexed citations
7.
Son, Youngdoo, et al.. (2023). Gaussian kernel with correlated variables for incomplete data. Annals of Operations Research. 341(1). 223–244. 1 indexed citations
8.
Son, Youngdoo, et al.. (2023). Machine Learning for the Expedited Screening of Hydrogen Evolution Catalysts for Transition Metal-Doped Transition Metal Dichalcogenides. International Journal of Energy Research. 2023. 1–11. 4 indexed citations
9.
Lee, Sangho, et al.. (2023). Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network. Annals of Operations Research. 339(1-2). 813–833. 4 indexed citations
10.
Lee, Sangho, Hyunwoo Park, Wonjoon Kim, et al.. (2023). Multi-order graph attention network for water solubility prediction and interpretation. Scientific Reports. 13(1). 957–957. 15 indexed citations
11.
Son, Youngdoo & Wonjoon Kim. (2022). Development of methodology for classification of user experience (UX) in online customer review. Journal of Retailing and Consumer Services. 71. 103210–103210. 20 indexed citations
12.
Lee, Soo‐Hong, et al.. (2022). Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography. Scientific Reports. 12(1). 2456–2456. 49 indexed citations
13.
Tamang, Jharna, Jean De Dieu Nkapkop, Muhammad Fazal Ijaz, et al.. (2021). Dynamical Properties of Ion-Acoustic Waves in Space Plasma and Its Application to Image Encryption. IEEE Access. 9. 18762–18782. 65 indexed citations
14.
Bhushan, Shashi, Yogesh Kumar, Abu ul Hassan S. Rana, et al.. (2021). An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm. Sensors. 21(5). 1583–1583. 68 indexed citations
15.
Son, Youngdoo, et al.. (2021). Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology. IEEE Transactions on Automation Science and Engineering. 19(4). 3172–3183. 5 indexed citations
16.
Son, Youngdoo, et al.. (2021). Repetitive patterns in the locations of touch errors for two-thumb text entry on a smartphone. Applied Ergonomics. 97. 103541–103541. 4 indexed citations
17.
Ijaz, Muhammad Fazal, Muhammad Attique, & Youngdoo Son. (2020). Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods. Sensors. 20(10). 2809–2809. 199 indexed citations
18.
Son, Youngdoo, et al.. (2019). Chronic Disease Prediction Using Character-Recurrent Neural Network in The Presence of Missing Information. Applied Sciences. 9(10). 2170–2170. 14 indexed citations
19.
20.
Park, Saerom, Jaewook Lee, & Youngdoo Son. (2016). Predicting Market Impact Costs Using Nonparametric Machine Learning Models. PLoS ONE. 11(2). e0150243–e0150243. 12 indexed citations

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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