Kiwon Yun

733 total citations · 1 hit paper
8 papers, 467 citations indexed

About

Kiwon Yun is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Automotive Engineering. According to data from OpenAlex, Kiwon Yun has authored 8 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 1 paper in Automotive Engineering. Recurrent topics in Kiwon Yun's work include Visual Attention and Saliency Detection (6 papers), Gaze Tracking and Assistive Technology (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Kiwon Yun is often cited by papers focused on Visual Attention and Saliency Detection (6 papers), Gaze Tracking and Assistive Technology (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Kiwon Yun collaborates with scholars based in United States. Kiwon Yun's co-authors include Dimitris Samaras, Tamara L. Berg, Debaleena Chattopadhyay, Jean Honorio, Gregory J. Zelinsky, Yifan Peng, Samir R. Das, Jihoon Ryoo, Minh Hoai and Hee Young Kwon and has published in prestigious journals such as Frontiers in Psychology and Journal of Vision.

In The Last Decade

Kiwon Yun

8 papers receiving 452 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.

Two-person interaction detection using body-pose features and multiple instance learning

2012 346 citations Kiwon Yun, Jean Honorio et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kiwon Yun United States	5	432	179	143	116	35	8	467
Inwoong Lee South Korea	6	323 0.7×	177 1.0×	92 0.6×	181 1.6×	20 0.6×	12	375
Bingbing Ni China	11	392 0.9×	184 1.0×	38 0.3×	67 0.6×	15 0.4×	21	426
Lionel Pigou Belgium	3	256 0.6×	73 0.4×	226 1.6×	133 1.1×	34 1.0×	3	379
Nam Le Switzerland	4	237 0.5×	91 0.5×	182 1.3×	110 0.9×	33 0.9×	6	360
Nazlı İkizler-Cinbiş Türkiye	14	631 1.5×	365 2.0×	68 0.5×	70 0.6×	10 0.3×	34	745
Ingo Fruend Canada	5	728 1.7×	432 2.4×	66 0.5×	139 1.2×	37 1.1×	6	799
Marco Cannici Switzerland	7	287 0.7×	161 0.9×	85 0.6×	127 1.1×	13 0.4×	15	376
Chiara Plizzari Italy	6	290 0.7×	166 0.9×	87 0.6×	131 1.1×	15 0.4×	10	340
Harshala Gammulle Australia	9	254 0.6×	152 0.8×	49 0.3×	64 0.6×	17 0.5×	14	315
M. Teja Kiran Kumar India	10	226 0.5×	50 0.3×	212 1.5×	137 1.2×	40 1.1×	18	362

Countries citing papers authored by Kiwon Yun

Since Specialization

Citations

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

Fields of papers citing papers by Kiwon Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiwon Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Kiwon Yun. A scholar is included among the top collaborators of Kiwon Yun 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 Kiwon Yun. Kiwon Yun 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.

Ryoo, Jihoon, Kiwon Yun, Dimitris Samaras, Samir R. Das, & Gregory J. Zelinsky. (2016). Design and evaluation of a foveated video streaming service for commodity client devices. 1–11. 28 indexed citations

2.

Yun, Kiwon, et al.. (2015). How we look tells us what we do: Action recognition using human gaze. Journal of Vision. 15(12). 121–121. 1 indexed citations

3.

Yun, Kiwon, et al.. (2015). Action classification in still images using human eye movements. 1. 16–23. 6 indexed citations

4.

Kwon, Hee Young, Kiwon Yun, Minh Hoai, & Dimitris Samaras. (2015). Recognizing cultural events in images: A study of image categorization models. 574. 51–57. 3 indexed citations

5.

Yun, Kiwon, et al.. (2013). Specifying the relationships between objects, gaze, and descriptions for scene understanding. Journal of Vision. 13(9). 1309–1309. 2 indexed citations

6.

Yun, Kiwon, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, & Tamara L. Berg. (2013). Studying Relationships between Human Gaze, Description, and Computer Vision. 739–746. 49 indexed citations

7.

Yun, Kiwon, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, & Tamara L. Berg. (2013). Exploring the role of gaze behavior and object detection in scene understanding. Frontiers in Psychology. 4. 32 indexed citations

8.

Yun, Kiwon, Jean Honorio, Debaleena Chattopadhyay, Tamara L. Berg, & Dimitris Samaras. (2012). Two-person interaction detection using body-pose features and multiple instance learning. 28–35. 346 indexed citations breakdown →

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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