Junhyuk Hyun

521 total citations
18 papers, 211 citations indexed

About

Junhyuk Hyun is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Junhyuk Hyun has authored 18 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Junhyuk Hyun's work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Video Surveillance and Tracking Methods (7 papers). Junhyuk Hyun is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Video Surveillance and Tracking Methods (7 papers). Junhyuk Hyun collaborates with scholars based in South Korea. Junhyuk Hyun's co-authors include Euntai Kim, Hongje Seong, Suhyeon Lee, Jeonghyun Baek, Minho Cho, Sang‐Ha Kim, Peyman Hosseinzadeh Kassani and Jisu Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Junhyuk Hyun

17 papers receiving 204 citations

Peers

Junhyuk Hyun
Tingfa Xu China
Yu-Jhe Li United States
Simon Reiß Germany
Nathan Drenkow United States
Hongje Seong South Korea
Buyu Liu United States
Jason Ramapuram Switzerland
Naiyu Gao China
Tingfa Xu China
Junhyuk Hyun
Citations per year, relative to Junhyuk Hyun Junhyuk Hyun (= 1×) peers Tingfa Xu

Countries citing papers authored by Junhyuk Hyun

Since Specialization
Citations

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

Fields of papers citing papers by Junhyuk Hyun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhyuk Hyun

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

All Works

18 of 18 papers shown
1.
Hyun, Junhyuk, et al.. (2025). Real-time RGB-D Semantic Segmentation With Scale-invariant Depth Encoding and Noise-robust Fusion. International Journal of Control Automation and Systems. 23(12). 3649–3661. 1 indexed citations
2.
Lee, Suhyeon, et al.. (2022). Fallen person detection for autonomous driving. Expert Systems with Applications. 213. 119242–119242. 12 indexed citations
3.
Seong, Hongje, Junhyuk Hyun, & Euntai Kim. (2022). Video Object Segmentation Using Kernelized Memory Network With Multiple Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2595–2612. 15 indexed citations
4.
Hyun, Junhyuk, et al.. (2022). Street Floor Segmentation for a Wheeled Mobile Robot. IEEE Access. 10. 127601–127609. 4 indexed citations
5.
Hyun, Junhyuk, Hongje Seong, Sang‐Ha Kim, & Euntai Kim. (2021). Adjacent Feature Propagation Network (AFPNet) for Real-Time Semantic Segmentation. IEEE Transactions on Systems Man and Cybernetics Systems. 52(9). 5877–5888. 13 indexed citations
6.
Hyun, Junhyuk, Hongje Seong, & Euntai Kim. (2021). Universal pooling – A new pooling method for convolutional neural networks. Expert Systems with Applications. 180. 115084–115084. 17 indexed citations
7.
Lee, Suhyeon, Junhyuk Hyun, Hongje Seong, & Euntai Kim. (2021). Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 8306–8315. 34 indexed citations
8.
Hyun, Junhyuk, et al.. (2021). A Lane-Level Road Marking Map Using a Monocular Camera. IEEE/CAA Journal of Automatica Sinica. 9(1). 187–204. 22 indexed citations
9.
Seong, Hongje, Junhyuk Hyun, & Euntai Kim. (2020). Is Whole Object Information Helpful for Scene Recognition?. 42. 149–152. 1 indexed citations
10.
Seong, Hongje, Junhyuk Hyun, & Euntai Kim. (2020). FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition. IEEE Access. 8. 82066–82077. 47 indexed citations
11.
Seong, Hongje, et al.. (2019). Scene Recognition via Object-to-Scene Class Conversion: End-to-End Training. 1–6. 10 indexed citations
12.
Seong, Hongje, Junhyuk Hyun, & Euntai Kim. (2019). Video Multitask Transformer Network. 1553–1561. 17 indexed citations
13.
Baek, Jeonghyun, Junhyuk Hyun, & Euntai Kim. (2019). A Pedestrian Detection System Accelerated by Kernelized Proposals. IEEE Transactions on Intelligent Transportation Systems. 21(3). 1216–1228. 11 indexed citations
14.
Seong, Hongje, et al.. (2018). New Feature-level Video Classification via Temporal Attention Model. 31–34. 1 indexed citations
15.
Kassani, Peyman Hosseinzadeh, Junhyuk Hyun, & Euntai Kim. (2016). Application of soft Histogram of Oriented Gradient on traffic sign detection. 388–392. 4 indexed citations
16.
Baek, Jeonghyun, Jisu Kim, Junhyuk Hyun, & Euntai Kim. (2015). New efficient speed-up scheme for cascade implementation of SVM classifier. 2. 1–6. 1 indexed citations
18.
Kassani, Peyman Hosseinzadeh, Junhyuk Hyun, & Euntai Kim. (2015). Proposing a GPU based modified fuzzy nearest neighbor rule for traffic sign detection. 5. 173–176. 1 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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