Sejong Yoon

549 total citations
31 papers, 306 citations indexed

About

Sejong Yoon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sejong Yoon has authored 31 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Sejong Yoon's work include Video Surveillance and Tracking Methods (7 papers), Gene expression and cancer classification (7 papers) and AI in cancer detection (6 papers). Sejong Yoon is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Gene expression and cancer classification (7 papers) and AI in cancer detection (6 papers). Sejong Yoon collaborates with scholars based in United States, Netherlands and South Korea. Sejong Yoon's co-authors include Vladimir Pavlović, Saejoon Kim, Chang‐Kyu Song, Mubbasir Kapadia, Jong-Pil Kim, Mihee Lee, Petros Faloutsos, Seonghyeon Moon, Gang Qiao and Pritish Kumar Sahu and has published in prestigious journals such as Pattern Recognition Letters, Soft Computing and BMC Medical Informatics and Decision Making.

In The Last Decade

Sejong Yoon

30 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sejong Yoon United States 10 122 96 45 43 35 31 306
Xian Wei China 7 176 1.4× 135 1.4× 30 0.7× 11 0.3× 36 1.0× 18 360
Nannan Ji China 11 84 0.7× 139 1.4× 31 0.7× 7 0.2× 54 1.5× 19 335
Wenhe Liu China 12 213 1.7× 94 1.0× 22 0.5× 50 1.2× 26 0.7× 54 364
Zhaoyue Zhang China 8 65 0.5× 211 2.2× 81 1.8× 10 0.2× 38 1.1× 25 398
Chalavadi Vishnu India 10 99 0.8× 116 1.2× 40 0.9× 37 0.9× 6 0.2× 11 401
Xinglin Piao China 10 79 0.6× 119 1.2× 27 0.6× 18 0.4× 6 0.2× 36 410
Zhizheng Liang China 12 188 1.5× 117 1.2× 25 0.6× 6 0.1× 25 0.7× 31 347

Countries citing papers authored by Sejong Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sejong Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejong Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sejong Yoon. A scholar is included among the top collaborators of Sejong 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 Sejong Yoon. Sejong 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.
Chang, Che‐Jui, et al.. (2024). Learning from Synthetic Human Group Activities. 21922–21932. 2 indexed citations
2.
Moon, Seonghyeon, et al.. (2023). MSI: Maximize Support-Set Information for Few-Shot Segmentation. 19209–19219. 16 indexed citations
3.
Lee, Mihee, Gang Qiao, Muhammad Usman, et al.. (2022). A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction. Computers & Graphics. 106. 130–140. 3 indexed citations
4.
Lee, Mihee, et al.. (2022). MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2211–2220. 43 indexed citations
5.
Lee, Mihee, Gang Qiao, Muhammad Usman, et al.. (2021). A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction. 1–9. 3 indexed citations
6.
Yoon, Sejong, et al.. (2020). Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Computers & Graphics. 88. 83–96. 14 indexed citations
7.
Yoon, Sejong, et al.. (2019). A Hybrid Approach for Video Memorability Prediction.. MediaEval. 3 indexed citations
8.
Qiao, Gang, et al.. (2019). Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. 1–11. 2 indexed citations
9.
Yoon, Sejong & Jong-Pil Kim. (2018). Object-Centric Scene Understanding for Image Memorability Prediction. 305–308. 4 indexed citations
10.
Yoon, Sejong. (2017). TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task.. MediaEval. 1 indexed citations
11.
Yoon, Sejong. (2017). TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task.. MediaEval. 2 indexed citations
12.
Yoon, Sejong, Mubbasir Kapadia, Pritish Kumar Sahu, & Vladimir Pavlović. (2016). Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. 27. 1–9. 5 indexed citations
13.
Song, Chang‐Kyu, Sejong Yoon, & Vladimir Pavlović. (2016). Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 41 indexed citations
14.
Yoon, Sejong, et al.. (2015). Mean field variational inference using bregman ADMM for distributed camera network. 209–210. 1 indexed citations
15.
Yoon, Sejong & Vladimir Pavlović. (2012). Distributed Probabilistic Learning for Camera Networks with Missing Data. Neural Information Processing Systems. 25. 2924–2932. 7 indexed citations
16.
Yoon, Sejong, et al.. (2011). PR-RAM: The Page Rank Routing Algorithm Method in Ad-hoc wireless networks. 96–100. 2 indexed citations
17.
Yoon, Sejong & Saejoon Kim. (2009). AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM. BMC Medical Informatics and Decision Making. 9(S1). S1–S1. 34 indexed citations
18.
Yoon, Sejong & Saejoon Kim. (2009). k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification. Soft Computing. 14(2). 151–159. 10 indexed citations
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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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