JunYoung Gwak

3.3k total citations
6 papers, 239 citations indexed

About

JunYoung Gwak is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, JunYoung Gwak has authored 6 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 1 paper in Automotive Engineering. Recurrent topics in JunYoung Gwak's work include Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (2 papers) and 3D Shape Modeling and Analysis (2 papers). JunYoung Gwak is often cited by papers focused on Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (2 papers) and 3D Shape Modeling and Analysis (2 papers). JunYoung Gwak collaborates with scholars based in United States and Australia. JunYoung Gwak's co-authors include Silvio Savarese, Animesh Garg, Manmohan Chandraker, Christopher Choy, Jason Rock, Tanmay Gupta, Daeyun Shin, Derek Hoiem, Hamid Rezatofighi and Roberto Martín-Martín and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Construction Research Congress 2018.

In The Last Decade

JunYoung Gwak

6 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
JunYoung Gwak United States	6	184	107	56	49	48	6	239
Philipp Henzler United States	5	190 1.0×	79 0.7×	91 1.6×	39 0.8×	42 0.9×	8	270
Jiantao Gao China	8	224 1.2×	115 1.1×	36 0.6×	69 1.4×	77 1.6×	16	329
Haithem Turki United States	6	204 1.1×	67 0.6×	120 2.1×	39 0.8×	56 1.2×	7	294
Shiyi Lan United States	5	208 1.1×	100 0.9×	29 0.5×	78 1.6×	65 1.4×	6	310
Jhony Kaesemodel Pontes Australia	6	191 1.0×	104 1.0×	84 1.5×	21 0.4×	28 0.6×	6	261
Xuemeng Yang China	9	146 0.8×	73 0.7×	22 0.4×	68 1.4×	112 2.3×	23	249
Francis Engelmann United States	7	119 0.6×	67 0.6×	20 0.4×	66 1.3×	35 0.7×	17	205
Linghao Chen China	6	262 1.4×	86 0.8×	59 1.1×	59 1.2×	162 3.4×	12	358
Chi‐Han Peng Saudi Arabia	9	158 0.9×	130 1.2×	156 2.8×	67 1.4×	39 0.8×	18	355
Armin Mustafa United Kingdom	6	219 1.2×	40 0.4×	30 0.5×	24 0.5×	62 1.3×	19	277

Countries citing papers authored by JunYoung Gwak

Since Specialization

Citations

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

Fields of papers citing papers by JunYoung Gwak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JunYoung Gwak

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

All Works

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6 of 6 papers shown

1.

Martín-Martín, Roberto, Mihir R. Patel, Hamid Rezatofighi, et al.. (2021). JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 6748–6765. 64 indexed citations

2.

Martín-Martín, Roberto, Hamid Rezatofighi, Mihir R. Patel, et al.. (2019). JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments.. arXiv (Cornell University). 9 indexed citations

3.

Roberts, Dominic, et al.. (2018). Vision-Based Construction Activity Analysis in Long Video Sequences via Hidden Markov Models: Experiments on Earthmoving Operations. Construction Research Congress 2018. 2. 164–173. 8 indexed citations

4.

Gwak, JunYoung, Christopher Choy, Animesh Garg, Manmohan Chandraker, & Silvio Savarese. (2017). Weakly Supervised Generative Adversarial Networks for 3D Reconstruction.. arXiv (Cornell University). 10 indexed citations

5.

Gwak, JunYoung, Christopher Choy, Manmohan Chandraker, Animesh Garg, & Silvio Savarese. (2017). Weakly Supervised 3D Reconstruction with Adversarial Constraint. 263–272. 63 indexed citations

6.

Rock, Jason, et al.. (2015). Completing 3D object shape from one depth image. 2484–2493. 85 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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