SungYe Kim

424 total citations
13 papers, 284 citations indexed

About

SungYe Kim is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering. According to data from OpenAlex, SungYe Kim has authored 13 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 2 papers in Control and Systems Engineering. Recurrent topics in SungYe Kim's work include Data Visualization and Analytics (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Vision and Imaging (3 papers). SungYe Kim is often cited by papers focused on Data Visualization and Analytics (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Vision and Imaging (3 papers). SungYe Kim collaborates with scholars based in United States, South Korea and Germany. SungYe Kim's co-authors include David S. Ebert, Yun Jang, Dennis Thom, Junghoon Chae, Thomas Ertl, Ross Maciejewski, Insoo Woo, Edward J. Delp, Carol J. Boushey and Jingyi Jin and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computers & Graphics.

In The Last Decade

SungYe Kim

12 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
SungYe Kim United States	9	110	52	48	40	40	13	284
Hendrik Stange Germany	8	60 0.5×	25 0.5×	34 0.7×	11 0.3×	67 1.7×	13	382
Johannes Sorger Austria	12	105 1.0×	4 0.1×	21 0.4×	12 0.3×	20 0.5×	23	281
Stephen Rudolph United States	6	177 1.6×	3 0.1×	35 0.7×	12 0.3×	68 1.7×	8	295
Philipp Singer Germany	11	20 0.2×	52 1.0×	48 1.0×	74 1.9×	153 3.8×	32	372
Karina Toscano-Medina Mexico	10	148 1.3×	29 0.6×	41 0.9×	22 0.6×	73 1.8×	30	323
Saumik Bhattacharya India	11	165 1.5×	7 0.1×	44 0.9×	49 1.2×	68 1.7×	47	334
Koichi Takeuchi Japan	10	32 0.3×	14 0.3×	49 1.0×	12 0.3×	338 8.4×	63	604
Ssu-Hsin Yu United States	8	18 0.2×	43 0.8×	111 2.3×	84 2.1×	142 3.5×	19	643
Avinash Gandhe United States	5	15 0.1×	43 0.8×	111 2.3×	78 1.9×	123 3.1×	13	355

Countries citing papers authored by SungYe Kim

Since Specialization

Citations

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

Fields of papers citing papers by SungYe Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SungYe Kim

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

All Works

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13 of 13 papers shown

Kim, SungYe, et al.. (2025). Joint Denoising and Upscaling via Multi-branch and Multi-scale Feature Network. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 8(1). 1–18.

Kim, SungYe, et al.. (2024). GFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering. ACM Transactions on Graphics. 43(6). 1–15. 2 indexed citations

Kim, SungYe, et al.. (2023). ExtraSS: A Framework for Joint Spatial Super Sampling and Frame Extrapolation. 1–11. 5 indexed citations

Thomas, Manu Mathew, et al.. (2022). Temporally Stable Real-Time Joint Neural Denoising and Supersampling. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 5(3). 1–22. 14 indexed citations

Kim, SungYe, et al.. (2016). clCaffe: OpenCL Accelerated Caffe for Convolutional Neural Networks. 50–57. 23 indexed citations

Kim, SungYe, et al.. (2015). Power Efficient MapReduce Workload Acceleration Using Integrated-GPU. 2 indexed citations

Kim, SungYe, Ross Maciejewski, Abish Malik, et al.. (2013). Bristle Maps: A Multivariate Abstraction Technique for Geovisualization. IEEE Transactions on Visualization and Computer Graphics. 19(9). 1438–1454. 24 indexed citations

Chae, Junghoon, Dennis Thom, Yun Jang, et al.. (2013). Public behavior response analysis in disaster events utilizing visual analytics of microblog data. Computers & Graphics. 38. 51–60. 124 indexed citations

Kim, SungYe, Insoo Woo, Ross Maciejewski, & David S. Ebert. (2010). Automated hedcut illustration using isophotes. 172–183. 8 indexed citations

10.

Kim, SungYe, et al.. (2010). Evaluating the effectiveness of visualization techniques for schematic diagrams in maintenance tasks. 33–40. 13 indexed citations

11.

Kim, SungYe, TusaRebecca E. Schap, Marc Bosch, et al.. (2010). Development of a mobile user interface for image-based dietary assessment. PubMed. 2010. 1–7. 11 indexed citations

12.

Woo, Insoo, et al.. (2009). Automatic portion estimation and visual refinement in mobile dietary assessment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7533. 75330O–75330O. 43 indexed citations

13.

Kim, SungYe, et al.. (2008). Mobile Analytics for Emergency Response and Training. Information Visualization. 7(1). 77–88. 15 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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