Seunghyun Lee

943 total citations · 1 hit paper
29 papers, 403 citations indexed

About

Seunghyun Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Seunghyun Lee has authored 29 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Seunghyun Lee's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Image Enhancement Techniques (3 papers). Seunghyun Lee is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Image Enhancement Techniques (3 papers). Seunghyun Lee collaborates with scholars based in South Korea and United States. Seunghyun Lee's co-authors include Byung Cheol Song, James E. Diekmann, Anthony D. Songer, Dae Ha Kim, JungHo Jeon, Sang-Hyuk Lee, Tran Ngọc Quang, Jongse Park, Jaeha Kung and Jahyun Koo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Seunghyun Lee

29 papers receiving 380 citations

Hit Papers

CFA: Coupled-Hypersphere-Based Feature Adaptation for Tar... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seunghyun Lee South Korea 9 173 133 58 50 44 29 403
Shilpa Rani India 15 129 0.7× 157 1.2× 12 0.2× 23 0.5× 97 2.2× 21 544
Ajeet Ram Pathak India 8 192 1.1× 222 1.7× 30 0.5× 23 0.5× 31 0.7× 19 550
José Luís Espinosa-Aranda Spain 11 107 0.6× 108 0.8× 82 1.4× 10 0.2× 35 0.8× 21 330
Jeonghong Kim South Korea 13 132 0.8× 113 0.8× 46 0.8× 9 0.2× 56 1.3× 27 416
Huagang Tong China 10 78 0.5× 62 0.5× 128 2.2× 38 0.8× 36 0.8× 23 351
My Abdelouahed Sabri Morocco 13 208 1.2× 150 1.1× 12 0.2× 14 0.3× 36 0.8× 82 557
Qing Han China 13 145 0.8× 336 2.5× 16 0.3× 23 0.5× 29 0.7× 42 536
Bryar A. Hassan Iraq 11 239 1.4× 78 0.6× 29 0.5× 24 0.5× 60 1.4× 30 472
Raihan Ul Islam Bangladesh 11 158 0.9× 143 1.1× 8 0.1× 22 0.4× 99 2.3× 42 493
Madhushi Verma India 11 102 0.6× 101 0.8× 21 0.4× 15 0.3× 123 2.8× 40 453

Countries citing papers authored by Seunghyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seunghyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seunghyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghyun Lee. A scholar is included among the top collaborators of Seunghyun 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 Seunghyun Lee. Seunghyun 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, Heejin, Seunghyun Lee, & Byung Cheol Song. (2024). Data and Model Uncertainty Aware Salient Object Detection. IEEE Access. 12. 15016–15025. 3 indexed citations
2.
Koo, Jahyun, et al.. (2023). FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support. IEEE Transactions on Computers. 72(9). 2522–2535. 15 indexed citations
3.
Lee, Yunsung, et al.. (2023). Towards Practical Plug-and-Play Diffusion Models. 1962–1971. 4 indexed citations
4.
Lee, Sang-Hyuk, Seunghyun Lee, & Byung Cheol Song. (2023). Efficient Meta-Learning through Task-Specific Pseudo Labelling. Electronics. 12(13). 2757–2757. 3 indexed citations
5.
Lee, Seunghyun & Byung Cheol Song. (2023). Fast Filter Pruning via Coarse-to-Fine Neural Architecture Search and Contrastive Knowledge Transfer. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9674–9685. 10 indexed citations
6.
Lee, Seunghyun, et al.. (2023). TAKDSR: Teacher Assistant Knowledge Distillation Framework for Graphics Image Super-Resolution. IEEE Access. 11. 112015–112026. 2 indexed citations
7.
Lee, Seunghyun, et al.. (2022). Cut And Continuous Paste Towards Real-Time Deep Fall Detection. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1775–1779. 2 indexed citations
8.
Lee, Seunghyun, et al.. (2022). CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization. IEEE Access. 10. 78446–78454. 147 indexed citations breakdown →
9.
Lee, Sungwook, Seunghyun Lee, & Byung Cheol Song. (2022). Balanced knowledge distillation for one-stage object detector. Neurocomputing. 500. 394–404. 4 indexed citations
10.
Lee, Heejin, et al.. (2022). Image Enhancement for Improved Visibility of Digital Displays Under The Sunlight. 2022 IEEE International Conference on Image Processing (ICIP). 3918–3922. 1 indexed citations
11.
Yang, Yoonseok, et al.. (2022). Evaluating the Knowledge Dependency of Questions. 10512–10526. 1 indexed citations
12.
Lee, Seunghyun, et al.. (2022). Improving Vision Transformers to Learn Small-Size Dataset From Scratch. IEEE Access. 10. 123212–123224. 31 indexed citations
13.
Quang, Tran Ngọc, Seunghyun Lee, & Byung Cheol Song. (2021). Object Detection Using Improved Bi-Directional Feature Pyramid Network. Electronics. 10(6). 746–746. 12 indexed citations
14.
Lee, Seunghyun, et al.. (2021). Zero-Shot Knowledge Distillation Using Label-Free Adversarial Perturbation With Taylor Approximation. IEEE Access. 9. 45454–45461. 3 indexed citations
15.
Lee, Seunghyun, et al.. (2020). Channel Pruning Via Gradient Of Mutual Information For Light-Weight Convolutional Neural Networks. 1751–1755. 10 indexed citations
16.
Lee, Seunghyun & Byung Cheol Song. (2020). Transformation of Non-Euclidean Space to Euclidean Space for Efficient Learning of Singular Vectors. IEEE Access. 8. 127074–127083. 1 indexed citations
17.
Lee, Seunghyun, et al.. (2020). Facial Landmark-Based Emotion Recognition via Directed Graph Neural Network. Electronics. 9(5). 764–764. 50 indexed citations
18.
Lee, Seunghyun, et al.. (2015). New Time-Cost Trade-Off Model Considering the Sequence of Alternatives Between Activities. Journal of Asian Architecture and Building Engineering. 14(2). 379–386. 4 indexed citations
19.
Lee, Seunghyun, Sung-Soo Lim, & Sung‐Bae Cho. (2010). Selective Inference in Modular Bayesian Networks for Lightweight Context Inference in Cell Phones. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 37(10). 736–744. 1 indexed citations
20.
Lee, Seunghyun, et al.. (1999). Identifying Waste: Applications of Construction Process Analysis. 63–72. 56 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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