Gyemin Lee

1.0k total citations
29 papers, 551 citations indexed

About

Gyemin Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, Gyemin Lee has authored 29 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Radiation. Recurrent topics in Gyemin Lee's work include Radiation Detection and Scintillator Technologies (7 papers), Medical Imaging Techniques and Applications (6 papers) and Nuclear Physics and Applications (6 papers). Gyemin Lee is often cited by papers focused on Radiation Detection and Scintillator Technologies (7 papers), Medical Imaging Techniques and Applications (6 papers) and Nuclear Physics and Applications (6 papers). Gyemin Lee collaborates with scholars based in South Korea, United States and Germany. Gyemin Lee's co-authors include Clayton Scott, Gilles Blanchard, JoonHo Lee, Geehyun Kim, Zeeshan Syed, Hyun Suk Kim, Sung‐Joon Ye, Ilan Rubinfeld, William G. Finn and Hansol Lee and has published in prestigious journals such as IEEE Transactions on Signal Processing, Frontiers in Psychology and Neurocomputing.

In The Last Decade

Gyemin Lee

27 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyemin Lee South Korea 10 326 132 55 51 47 29 551
Jiawei Yang China 11 261 0.8× 133 1.0× 6 0.1× 42 0.8× 26 0.6× 36 584
Geoff Pleiss United States 7 535 1.6× 325 2.5× 10 0.2× 13 0.3× 106 2.3× 10 968
R. Smolikova United States 10 174 0.5× 216 1.6× 7 0.1× 26 0.5× 74 1.6× 20 540
Marcello Salmeri Italy 14 483 1.5× 407 3.1× 18 0.3× 26 0.5× 217 4.6× 74 812
Konstantinos Blekas Greece 16 239 0.7× 154 1.2× 24 0.4× 4 0.1× 73 1.6× 59 689
Cheng Cheng China 10 96 0.3× 79 0.6× 49 0.9× 32 0.6× 19 0.4× 48 365
Yuan Cao United States 13 463 1.4× 264 2.0× 20 0.4× 10 0.2× 35 0.7× 47 783
Tilo Strutz Germany 9 76 0.2× 198 1.5× 14 0.3× 15 0.3× 21 0.4× 45 543
Minsik Lee South Korea 15 311 1.0× 620 4.7× 44 0.8× 4 0.1× 60 1.3× 76 952
Jérôme Lapuyade‐Lahorgue France 9 135 0.4× 92 0.7× 5 0.1× 20 0.4× 95 2.0× 23 375

Countries citing papers authored by Gyemin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gyemin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyemin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gyemin Lee. A scholar is included among the top collaborators of Gyemin 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 Gyemin Lee. Gyemin Lee 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.
Lee, Gyemin, et al.. (2024). Competing With Artificial Intelligence Or Other Fans: Effects of Making Predictions About Game Outcome on Fans’ Perceived Curiosity and Evaluations of Game Consumption. International Journal of Human-Computer Interaction. 41(1). 765–774. 1 indexed citations
2.
Lee, JoonHo & Gyemin Lee. (2023). Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. Neural Networks. 161. 682–692. 30 indexed citations
3.
Jang, Wonseok, et al.. (2023). Missed a live match? Determinants of League of Legends Champions Korea highlights viewership. Frontiers in Psychology. 14. 1213600–1213600. 2 indexed citations
4.
Lee, JoonHo & Gyemin Lee. (2022). Unsupervised domain adaptation based on the predictive uncertainty of models. Neurocomputing. 520. 183–193. 12 indexed citations
5.
Lee, JoonHo & Gyemin Lee. (2020). Model Uncertainty for Unsupervised Domain Adaptation. 1841–1845. 3 indexed citations
6.
Lee, Gyemin, et al.. (2018). Highlight Detection in Personal Broadcasting by Analysing Chat Traffic : Game Contests as a Test Case. Journal of Broadcast Engineering. 23(2). 218–226.
7.
Kim, Hyun Suk, et al.. (2017). A Monte Carlo simulation study for the gamma-ray/neutron dual-particle imager using rotational modulation collimator (RMC). Journal of Radiological Protection. 38(1). 299–309. 7 indexed citations
8.
Kim, Geehyun, et al.. (2016). Estimating the Direction and Distance of an Unknown Radiation Source Using RMC. Journal of the Institute of Electronics and Information Engineers. 53(9). 118–125. 6 indexed citations
9.
Kim, Hyun Suk, et al.. (2016). Radiation imaging with a rotational modulation collimator (RMC) coupled to a Cs2LiYCl6:Ce (CLYC) detector. Journal of the Korean Physical Society. 69(11). 1644–1650. 13 indexed citations
10.
Kim, Hyun Suk, Gyemin Lee, Sung‐Joon Ye, & Geehyun Kim. (2016). Design of a rotational modulation collimator utilizing asymmetric masks for the gamma-ray/neutron dual imaging technique. 1–2. 3 indexed citations
11.
12.
Lee, Gyemin, Hitinder S. Gurm, & Zeeshan Syed. (2013). Predicting complications of percutaneous coronary intervention using a novel support vector method. Journal of the American Medical Informatics Association. 20(4). 778–786. 5 indexed citations
13.
Karam, Zahi N., et al.. (2012). Improving surgical models through one/two class learning. PubMed. 2012. 5098–5101. 6 indexed citations
14.
Lee, Gyemin, Ilan Rubinfeld, & Zeeshan Syed. (2012). Adapting Surgical Models to Individual Hospitals Using Transfer Learning. 57–63. 16 indexed citations
15.
Blanchard, Gilles, Gyemin Lee, & Clayton Scott. (2011). Generalizing from Several Related Classification Tasks to a New Unlabeled Sample. Neural Information Processing Systems. 24. 2178–2186. 139 indexed citations
16.
Lee, Gyemin, Lloyd M. Stoolman, & Clayton Scott. (2011). Transfer Learning for Auto-gating of Flow Cytometry Data. International Conference on Machine Learning. 155–166. 7 indexed citations
17.
Lee, Gyemin, William G. Finn, & Clayton Scott. (2011). Statistical file matching of flow cytometry data. Journal of Biomedical Informatics. 44(4). 663–676. 13 indexed citations
18.
Blanchard, Gilles, Gyemin Lee, & Clayton Scott. (2009). Semi-supervised novelty detection. Journal of Machine Learning Research. 11(99). 2973–3009. 115 indexed citations
19.
Lee, Gyemin & Clayton Scott. (2009). Nested Support Vector Machines. IEEE Transactions on Signal Processing. 58(3). 1648–1660. 30 indexed citations
20.
Lee, Gyemin & Clayton Scott. (2008). Nested support vector machines. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2. 1985–1988. 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.

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