Sangmin Oh

1.2k total citations
16 papers, 276 citations indexed

About

Sangmin Oh is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Sangmin Oh has authored 16 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Environmental Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Sangmin Oh's work include Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Analysis and Summarization (6 papers). Sangmin Oh is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Analysis and Summarization (6 papers). Sangmin Oh collaborates with scholars based in United States, Canada and Singapore. Sangmin Oh's co-authors include Anthony Hoogs, Arash Vahdat, Greg Mori, Kevin Cannons, Ping Wang, Gregory D. Abowd, James M. Rehg, Kihwan Kim, Irfan Essa and Dongmin Lee and has published in prestigious journals such as IEEE Transactions on Image Processing, Remote Sensing and Automation in Construction.

In The Last Decade

Sangmin Oh

16 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangmin Oh United States 10 221 57 45 40 38 16 276
JunYoung Gwak United States 6 184 0.8× 28 0.5× 48 1.1× 16 0.4× 49 1.3× 6 239
Carlos Vallespi-Gonzalez United States 4 98 0.4× 31 0.5× 41 0.9× 42 1.1× 41 1.1× 7 197
Hamid Izadinia United States 7 212 1.0× 49 0.9× 25 0.6× 13 0.3× 37 1.0× 16 284
Erwan Guillou France 4 218 1.0× 39 0.7× 36 0.8× 13 0.3× 27 0.7× 8 247
Paul Chippendale Italy 8 110 0.5× 32 0.6× 69 1.5× 38 0.9× 94 2.5× 21 230
Jinhui Hu China 9 265 1.2× 16 0.3× 55 1.2× 35 0.9× 27 0.7× 23 307
Marzieh Amini Canada 10 335 1.5× 26 0.5× 16 0.4× 16 0.4× 9 0.2× 37 404
Hui Shuai China 8 163 0.7× 61 1.1× 17 0.4× 53 1.3× 46 1.2× 25 283
Buyu Liu United States 10 185 0.8× 67 1.2× 39 0.9× 13 0.3× 10 0.3× 18 244

Countries citing papers authored by Sangmin Oh

Since Specialization
Citations

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

Fields of papers citing papers by Sangmin Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangmin Oh

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

All Works

16 of 16 papers shown
1.
Kim, Minju, Dongmin Lee, Taehoon Kim, Sangmin Oh, & Hunhee Cho. (2022). Automated extraction of geometric primitives with solid lines from unstructured point clouds for creating digital buildings models. Automation in Construction. 145. 104642–104642. 14 indexed citations
2.
Oh, Sangmin, Dongmin Lee, Minju Kim, Taehoon Kim, & Hunhee Cho. (2021). Building Component Detection on Unstructured 3D Indoor Point Clouds Using RANSAC-Based Region Growing. Remote Sensing. 13(2). 161–161. 15 indexed citations
3.
Li, Kang, Sheng Li, Sangmin Oh, & Yun Fu. (2017). Videography-Based Unconstrained Video Analysis. IEEE Transactions on Image Processing. 26(5). 2261–2273. 15 indexed citations
4.
Oh, Sangmin, et al.. (2015). Image-oriented economic perspective on user behavior in multimedia social forums: An analysis on supply, consumption, and saliency. Pattern Recognition Letters. 72. 33–40. 2 indexed citations
5.
Oh, Sangmin, et al.. (2014). Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency. 32. 2011–2016. 1 indexed citations
6.
Lu, Yan, et al.. (2013). Automatic building exterior mapping using multilayer feature graphs. 9 indexed citations
7.
Vahdat, Arash, et al.. (2013). Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach. 1185–1192. 36 indexed citations
8.
Oh, Sangmin, Scott McCloskey, Arash Vahdat, et al.. (2013). Multimedia event detection with multimodal feature fusion and temporal concept localization. Machine Vision and Applications. 25(1). 49–69. 37 indexed citations
9.
10.
Oh, Sangmin, et al.. (2013). Segmental multi-way local pooling for video recognition. 637–640. 2 indexed citations
12.
Li, Kang, et al.. (2012). A Videography Analysis Framework for Video Retrieval and Summarization. 126.1–126.12. 6 indexed citations
13.
Kim, Kihwan, et al.. (2011). Augmenting aerial earth maps with dynamic information from videos. Virtual Reality. 15(2-3). 185–200. 10 indexed citations
14.
Oh, Sangmin & Anthony Hoogs. (2010). Unsupervised Learning of Activities in Video Using Scene Context. 3579–3582. 8 indexed citations
15.
Oh, Sangmin, et al.. (2010). Temporal causality for the analysis of visual events. 1967–1974. 50 indexed citations
16.
Kim, Kihwan, et al.. (2009). Augmenting Aerial Earth Maps with dynamic information. 19 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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