Dogyoon Lee

416 total citations · 1 hit paper
8 papers, 195 citations indexed

About

Dogyoon Lee is a scholar working on Computer Vision and Pattern Recognition, Geology and Environmental Engineering. According to data from OpenAlex, Dogyoon Lee has authored 8 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Geology and 2 papers in Environmental Engineering. Recurrent topics in Dogyoon Lee's work include Visual Attention and Saliency Detection (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Dogyoon Lee is often cited by papers focused on Visual Attention and Saliency Detection (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Dogyoon Lee collaborates with scholars based in South Korea and United States. Dogyoon Lee's co-authors include Sangyoun Lee, Minhyeok Lee, Sangwon Hwang, Suhwan Cho, Seunghoon Lee, Chaewon Park, Jungho Lee and Jae‐Won Suh and has published in prestigious journals such as Pattern Recognition, ICT Express and SSRN Electronic Journal.

In The Last Decade

Dogyoon Lee

7 papers receiving 189 citations

Hit Papers

align trajectories

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.

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition

2023 131 citations Minhyeok Lee, Dogyoon Lee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dogyoon Lee South Korea	5	152	76	70	35	23	8	195
Sungheon Park South Korea	6	117 0.8×	19 0.3×	28 0.4×	23 0.7×	11 0.5×	10	139
Sudhakar Kumawat India	4	76 0.5×	17 0.2×	24 0.3×	11 0.3×	38 1.7×	6	115
Rıza Alp Güler United Kingdom	6	164 1.1×	20 0.3×	12 0.2×	12 0.3×	80 3.5×	9	189
Zhiguang Yang China	5	152 1.0×	20 0.3×	25 0.4×	7 0.2×	15 0.7×	9	205
Csaba Domokos Hungary	8	232 1.5×	13 0.2×	51 0.7×	4 0.1×	39 1.7×	17	270
Shaohui Li China	8	140 0.9×	11 0.1×	19 0.3×	4 0.1×	39 1.7×	31	183
Xiaoxuan Ma China	7	269 1.8×	87 1.1×	79 1.1×	77 2.2×	27 1.2×	14	300
Nikos Kolotouros United States	4	166 1.1×	17 0.2×	10 0.1×	15 0.4×	80 3.5×	5	182
Mustafa Gökhan Uzunbaş United States	8	126 0.8×	23 0.3×	21 0.3×	2 0.1×	10 0.4×	15	165
Toshikazu Wada Japan	7	168 1.1×	6 0.1×	35 0.5×	4 0.1×	8 0.3×	48	193

Countries citing papers authored by Dogyoon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Dogyoon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dogyoon Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lee, Minhyeok, Suhwan Cho, Chaewon Park, et al.. (2024). Boundary-aware Camouflaged Object Detection via Deformable Point Sampling. 1–4. 1 indexed citations

2.

Cho, Suhwan, et al.. (2024). Guided Slot Attention for Unsupervised Video Object Segmentation. 3807–3816. 6 indexed citations

3.

Lee, Dogyoon, et al.. (2023). MKConv: Multidimensional feature representation for point cloud analysis. Pattern Recognition. 143. 109800–109800. 24 indexed citations

4.

Lee, Dogyoon, et al.. (2023). Mkconv: Multidimensional Feature Representation for Point Cloud Analysis. SSRN Electronic Journal.

5.

Lee, Minhyeok, et al.. (2023). Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition. 10410–10419. 131 indexed citations breakdown →

6.

Lee, Seunghoon, Suhwan Cho, Dogyoon Lee, Minhyeok Lee, & Sangyoun Lee. (2023). Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation. 1535–1539. 4 indexed citations

7.

Lee, Dogyoon, et al.. (2023). DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors. 12386–12396. 27 indexed citations

8.

Hwang, Sangwon, et al.. (2021). 3D mesh transformation preprocessing system in the real space for augmented reality services. ICT Express. 7(1). 71–75. 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.

Explore authors with similar magnitude of impact