Insu Yu

670 total citations
12 papers, 476 citations indexed

About

Insu Yu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Insu Yu has authored 12 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Graphics and Computer-Aided Design, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Cognitive Neuroscience. Recurrent topics in Insu Yu's work include Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (7 papers) and Visual perception and processing mechanisms (5 papers). Insu Yu is often cited by papers focused on Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (7 papers) and Visual perception and processing mechanisms (5 papers). Insu Yu collaborates with scholars based in United Kingdom, Spain and Italy. Insu Yu's co-authors include Mel Slater, Jesper Mortensen, Pritee Khanna, Bernhard Spanlang, Jan Kautz, Carsten Dachsbacher, Tobias Ritschel, Thorsten Grosch, Min H. Kim and Andrew Cox and has published in prestigious journals such as IEEE Computer Graphics and Applications, ACM Transactions on Applied Perception and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).

In The Last Decade

Insu Yu

12 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Insu Yu United Kingdom	7	329	150	136	130	53	12	476
Jesper Mortensen United Kingdom	9	460 1.4×	214 1.4×	156 1.1×	145 1.1×	28 0.5×	15	642
Evren Bozgeyikli United States	10	432 1.3×	230 1.5×	59 0.4×	188 1.4×	17 0.3×	17	591
Amy Ulinski United States	8	334 1.0×	118 0.8×	101 0.7×	129 1.0×	19 0.4×	12	423
Samantha Finkelstein United States	11	386 1.2×	190 1.3×	73 0.5×	132 1.0×	11 0.2×	22	603
Lee Anderson United States	7	440 1.3×	247 1.6×	63 0.5×	121 0.9×	10 0.2×	14	490
Guilherme Gonçalves Portugal	13	430 1.3×	112 0.7×	114 0.8×	169 1.3×	9 0.2×	33	598
Catherine Zanbaka United States	8	279 0.8×	97 0.6×	147 1.1×	107 0.8×	12 0.2×	11	414
Kristopher J. Blom Germany	10	305 0.9×	180 1.2×	152 1.1×	66 0.5×	11 0.2×	23	456
Jan-Philipp Stauffert Germany	8	258 0.8×	90 0.6×	84 0.6×	123 0.9×	13 0.2×	12	390
Donald R. Lampton United States	8	194 0.6×	80 0.5×	112 0.8×	53 0.4×	6 0.1×	24	340

Countries citing papers authored by Insu Yu

Since Specialization

Citations

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

Fields of papers citing papers by Insu Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Insu Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Insu Yu. A scholar is included among the top collaborators of Insu Yu 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 Insu Yu. Insu Yu 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:

12 of 12 papers shown

1.

Yu, Insu, Jesper Mortensen, Pritee Khanna, Bernhard Spanlang, & Mel Slater. (2012). Visual Realism Enhances Realistic Response in an Immersive Virtual Environment - Part 2. IEEE Computer Graphics and Applications. 32(6). 36–45. 161 indexed citations

2.

Jeong, Won‐Ki, Micah K. Johnson, Insu Yu, et al.. (2011). Display-aware image editing. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–8. 7 indexed citations

3.

Yu, Insu, Jesper Mortensen, Pankaj Khanna, & Mel Slater. (2011). Visual realism enhances realistic response in an immersive virtual environment – Part 2. IEEE Computer Graphics and Applications. 4 indexed citations

4.

Slater, Mel, et al.. (2009). Visual Realism Enhances Realistic Response in an Immersive Virtual Environment. IEEE Computer Graphics and Applications. 29(3). 76–84. 212 indexed citations

5.

Yu, Insu, Andrew Cox, Min H. Kim, et al.. (2009). Perceptual influence of approximate visibility in indirect illumination. ACM Transactions on Applied Perception. 6(4). 1–14. 29 indexed citations

6.

Mortensen, Jesper, Insu Yu, Pritee Khanna, et al.. (2008). Real-Time Global Illumination for VR Applications. IEEE Computer Graphics and Applications. 28(6). 56–64. 12 indexed citations

7.

Mortensen, Jesper, et al.. (2007). Real-time global illumination in the CAVE. 145–148. 1 indexed citations

8.

Mortensen, Jesper, et al.. (2007). A Visibility Field for Ray Tracing. 22. 54–61. 1 indexed citations

9.

Yu, Insu, et al.. (2006). Presence in response to dynamic visual realism. 364–367. 33 indexed citations

10.

Slater, Mel, Jesper Mortensen, Pritee Khanna, & Insu Yu. (2004). A virtual light field approach to global illumination. 102–109. 9 indexed citations

11.

Slater, Mel, Jesper Mortensen, Pritee Khanna, & Insu Yu. (2004). A virtual light field approach to global illumination. 22. 102–109. 4 indexed citations

12.

Mortensen, Jesper, et al.. (2004). Fast ray tracing of scenes with unstructured motion. 35–35. 3 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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