Hankyeol Lee

758 total citations
5 papers, 30 citations indexed

About

Hankyeol Lee is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Radiation. According to data from OpenAlex, Hankyeol Lee has authored 5 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Health Informatics and 1 paper in Radiation. Recurrent topics in Hankyeol Lee's work include Advanced Image and Video Retrieval Techniques (2 papers), Advanced X-ray Imaging Techniques (1 paper) and ZnO doping and properties (1 paper). Hankyeol Lee is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Advanced X-ray Imaging Techniques (1 paper) and ZnO doping and properties (1 paper). Hankyeol Lee collaborates with scholars based in South Korea and Canada. Hankyeol Lee's co-authors include Tae‐Yeon Seong, Sun‐Kyung Kim, Jun Ho Kim, Changick Kim, Seokeon Choi, Youngeun Kim, Taekyung Kim, Seung‐Kyun Lee, Jang‐Yeon Park and Jae Jun Lee and has published in prestigious journals such as Scientific Reports, Current Applied Physics and Endocrinology and Metabolism.

In The Last Decade

Hankyeol Lee

5 papers receiving 29 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hankyeol Lee South Korea 3 14 14 7 7 5 5 30
Takahiro Matsumoto Japan 5 10 0.7× 6 0.4× 5 0.7× 10 1.4× 9 1.8× 11 43
C. S. Ji China 4 14 1.0× 12 0.9× 12 1.7× 3 0.4× 4 0.8× 15 61
Amitha Mathew India 4 35 2.5× 17 1.2× 4 0.6× 4 0.6× 5 1.0× 10 63
Xin Miao China 4 6 0.4× 13 0.9× 12 1.7× 3 0.4× 5 1.0× 9 51
D. Bender Türkiye 2 23 1.6× 6 0.4× 2 0.3× 7 1.0× 2 0.4× 3 28
Marco Miliucci Italy 4 19 1.4× 15 1.1× 7 1.0× 14 36
Daniel Rivera United States 4 8 0.6× 6 0.4× 3 0.4× 2 0.4× 12 29
Ankit Khandelwal India 3 8 0.6× 11 0.8× 7 1.0× 4 0.8× 11 19
Yu-Hsiang Chang Taiwan 3 26 1.9× 17 1.2× 5 0.7× 9 1.8× 8 54

Countries citing papers authored by Hankyeol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hankyeol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hankyeol Lee

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

All Works

5 of 5 papers shown
1.
Kim, Jinyoung, Dong‐Jun Lim, Hankyeol Lee, et al.. (2025). Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application. Endocrinology and Metabolism. 40(2). 216–224. 1 indexed citations
2.
Lee, Hankyeol, et al.. (2021). Line scan-based rapid magnetic resonance imaging of repetitive motion. Scientific Reports. 11(1). 3 indexed citations
3.
Kim, Youngeun, Seokeon Choi, Hankyeol Lee, Taekyung Kim, & Changick Kim. (2020). RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. 2046–2054. 6 indexed citations
4.
Lee, Hankyeol, Seokeon Choi, Youngeun Kim, & Changick Kim. (2019). Bilinear Siamese Networks with Background Suppression for Visual Object Tracking.. British Machine Vision Conference. 8. 2 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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