Sook Yoon

4.1k total citations · 2 hit papers
74 papers, 2.7k citations indexed

About

Sook Yoon is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Signal Processing. According to data from OpenAlex, Sook Yoon has authored 74 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 26 papers in Plant Science and 16 papers in Signal Processing. Recurrent topics in Sook Yoon's work include Smart Agriculture and AI (26 papers), Biometric Identification and Security (15 papers) and Video Surveillance and Tracking Methods (14 papers). Sook Yoon is often cited by papers focused on Smart Agriculture and AI (26 papers), Biometric Identification and Security (15 papers) and Video Surveillance and Tracking Methods (14 papers). Sook Yoon collaborates with scholars based in South Korea, China and United States. Sook Yoon's co-authors include Alvaro Fuentes, Dong Sun Park, Dong Jun Park, Sang Ryong Kim, Mingle Xu, Yu Lu, Shan Juan Xie, Zhihui Wang, Jae-Su Lee and Jucheng Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Sook Yoon

69 papers receiving 2.6k citations

Hit Papers

A Robust Deep-Learning-Based Detector for Real-Time Tomat... 2017 2026 2020 2023 2017 2023 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
    2017 1.0k citations Alvaro Fuentes, Sook Yoon et al. profile →
  2. A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
    2023 319 citations Mingle Xu, Sook Yoon et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sook Yoon South Korea 23 1.4k 606 456 452 303 74 2.7k
Chris McCool United States 28 1.8k 1.3× 826 1.4× 496 1.1× 486 1.1× 402 1.3× 99 3.5k
Dong Sun Park South Korea 24 452 0.3× 743 1.2× 117 0.3× 541 1.2× 89 0.3× 72 2.1k
Liu Liu China 32 1.3k 0.9× 1.0k 1.7× 179 0.4× 81 0.2× 119 0.4× 132 3.1k
Jayme Garcia Arnal Barbedo Brazil 29 3.3k 2.3× 318 0.5× 1.4k 3.1× 117 0.3× 905 3.0× 80 4.3k
Yu Sun China 20 746 0.5× 471 0.8× 272 0.6× 226 0.5× 174 0.6× 91 2.1k
Peng Yang China 30 479 0.3× 407 0.7× 77 0.2× 96 0.2× 116 0.4× 134 2.5k
Chengjun Xie China 24 1.6k 1.1× 430 0.7× 294 0.6× 23 0.1× 242 0.8× 86 2.3k
Dongjian He China 32 2.7k 1.9× 614 1.0× 1.1k 2.4× 22 0.0× 526 1.7× 174 4.3k
Dean Zhao China 32 1.1k 0.8× 295 0.5× 371 0.8× 226 0.5× 138 0.5× 128 2.7k
Guoxiong Zhou China 23 950 0.7× 310 0.5× 399 0.9× 80 0.2× 190 0.6× 83 1.6k

Countries citing papers authored by Sook Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sook Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sook Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sook Yoon. A scholar is included among the top collaborators of Sook 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 Sook Yoon. Sook Yoon 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.
Fuentes, Alvaro, et al.. (2025). Multi-camera fusion and bird-eye view location mapping for deep learning-based cattle behavior monitoring. Artificial Intelligence in Agriculture. 15(4). 724–743. 4 indexed citations
2.
Fuentes, Alvaro, Sook Yoon, & Dong Sun Park. (2025). AI-Driven decisions for smarter, sustainable greenhouse vegetable production. International Journal of Vegetable Science. 32(1). 1–7.
3.
Fuentes, Alvaro, et al.. (2025). Comprehensive plant health monitoring: expert-level assessment with spatio-temporal image data. Frontiers in Plant Science. 16. 1511651–1511651.
4.
Fuentes, Alvaro, et al.. (2025). Harnessing prototype networks for novel plant species and disease classification in open-world scenarios. Engineering Applications of Artificial Intelligence. 156. 111016–111016. 2 indexed citations
5.
Fuentes, Alvaro, et al.. (2025). HanwooReID: Multi-view cattle re-identification with pose-aware transformer enhancements. Computers and Electronics in Agriculture. 239. 111117–111117. 1 indexed citations
6.
Xu, Mingle, et al.. (2024). Plant disease recognition datasets in the age of deep learning: challenges and opportunities. Frontiers in Plant Science. 15. 1452551–1452551. 8 indexed citations
7.
Xu, Mingle, Jaehwan Lee, Sook Yoon, Hyongsuk Kim, & Dong Sun Park. (2024). Variation-aware semantic image synthesis. Image and Vision Computing. 142. 104914–104914. 1 indexed citations
8.
Meng, Yao, Mingle Xu, Hyongsuk Kim, et al.. (2023). Known and unknown class recognition on plant species and diseases. Computers and Electronics in Agriculture. 215. 108408–108408. 7 indexed citations
9.
Fuentes, Alvaro, et al.. (2023). Deep learning-based multi-cattle tracking in crowded livestock farming using video. Computers and Electronics in Agriculture. 212. 108044–108044. 33 indexed citations
10.
Fuentes, Alvaro, et al.. (2023). Multiview Monitoring of Individual Cattle Behavior Based on Action Recognition in Closed Barns Using Deep Learning. Animals. 13(12). 2020–2020. 27 indexed citations
11.
Fuentes, Alvaro, et al.. (2023). Local refinement mechanism for improved plant leaf segmentation in cluttered backgrounds. Frontiers in Plant Science. 14. 1211075–1211075. 4 indexed citations
12.
Xu, Mingle, Hyongsuk Kim, Jucheng Yang, et al.. (2023). Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning. Frontiers in Plant Science. 14. 1225409–1225409. 24 indexed citations
13.
Zhang, Chuanlei, et al.. (2023). Machine Learning and Artificial Intelligence for Smart Agriculture. Frontiers research topics. 1 indexed citations
14.
Yoon, Sook, et al.. (2023). Improving Known–Unknown Cattle’s Face Recognition for Smart Livestock Farm Management. Animals. 13(22). 3588–3588. 16 indexed citations
15.
Xu, Mingle, Sook Yoon, Yongchae Jeong, & Dong Sun Park. (2022). Transfer learning for versatile plant disease recognition with limited data. Frontiers in Plant Science. 13. 1010981–1010981. 30 indexed citations
16.
Xu, Mingle, Sook Yoon, Alvaro Fuentes, Jucheng Yang, & Dong Sun Park. (2022). Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition. Frontiers in Plant Science. 12. 773142–773142. 40 indexed citations
17.
Fuentes, Alvaro, et al.. (2021). Open Set Self and Across Domain Adaptation for Tomato Disease Recognition With Deep Learning Techniques. Frontiers in Plant Science. 12. 758027–758027. 18 indexed citations
18.
Yoon, Sook, Erica F. Bisson, Beth M. Bowman, et al.. (2016). Characterization of spinal cord white matter by suppressing signal from hindered space. A Monte Carlo simulation and an ex vivo ultrahigh-b diffusion-weighted imaging study. Journal of Magnetic Resonance. 272. 53–59. 7 indexed citations
19.
Sarker, Md. Mostafa Kamal, Sook Yoon, John J. Lee, & Dong Sun Park. (2013). Novel License Plate Detection Method Based on Heuristic Energy. The Journal of Korean Institute of Communications and Information Sciences. 38C(12). 1114–1125. 4 indexed citations
20.
Lee, Sang-Don, et al.. (2010). Design of Context-aware Traditional Folk Music Web Sites. 5(1). 67–76. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chris McCool Breakdown of academic impact, for papers by Dong Sun Park Breakdown of academic impact, for papers by Liu Liu Breakdown of academic impact, for papers by Jayme Garcia Arnal Barbedo Breakdown of academic impact, for papers by Yu Sun Breakdown of academic impact, for papers by Peng Yang Breakdown of academic impact, for papers by Chengjun Xie Breakdown of academic impact, for papers by Dongjian He Breakdown of academic impact, for papers by Dean Zhao Breakdown of academic impact, for papers by Guoxiong Zhou
Rankless by CCL
2026