Hyunsurk Ryu

692 total citations
18 papers, 348 citations indexed

About

Hyunsurk Ryu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hyunsurk Ryu has authored 18 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hyunsurk Ryu's work include CCD and CMOS Imaging Sensors (10 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (3 papers). Hyunsurk Ryu is often cited by papers focused on CCD and CMOS Imaging Sensors (10 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (3 papers). Hyunsurk Ryu collaborates with scholars based in South Korea, Switzerland and United States. Hyunsurk Ryu's co-authors include Chang-Woo Shin, Tobi Delbrück, Jun Haeng Lee, Kyoobin Lee, Michael Pfeiffer, Junseok Kim, Sungho Kim, Yunjae Suh, Ilia Ovsiannikov and Jinman Park and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Communications Magazine and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Hyunsurk Ryu

17 papers receiving 337 citations

Peers

Hyunsurk Ryu
Chang-Woo Shin South Korea
Anton Mitrokhin United States
Junseok Kim South Korea
Julien Martel Switzerland
Chang-Woo Shin South Korea
Hyunsurk Ryu
Citations per year, relative to Hyunsurk Ryu Hyunsurk Ryu (= 1×) peers Chang-Woo Shin

Countries citing papers authored by Hyunsurk Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Hyunsurk Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunsurk Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunsurk Ryu. A scholar is included among the top collaborators of Hyunsurk Ryu 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 Hyunsurk Ryu. Hyunsurk Ryu 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
2.
Kim, Tae Sung, et al.. (2025). A DVS-CIS Sensor Data Receiver on FPGA with a 10 Gbps MIPI Controller. 1–5. 1 indexed citations
4.
Keel, Min-Sun, Changkeun Lee, Sungho Choi, et al.. (2020). A 4-tap global shutter pixel with enhanced IR sensitivity for VGA time-of-flight CMOS image sensors. Electronic Imaging. 32(7). 103–1. 9 indexed citations
5.
Park, Kwangmin, Min Chul Lee, Jeong-Ho Park, et al.. (2020). 20.3 A 4.0×3.7×1.0mm3-MEMS CMOS Integrated E-Nose with Embedded 4×Gas Sensors, a Temperature Sensor and a Relative Humidity Sensor. 316–318. 6 indexed citations
6.
7.
Suh, Yunjae, Sungho Kim, Heejae Jung, et al.. (2017). 4.1 A 640×480 dynamic vision sensor with a 9µm pixel and 300Meps address-event representation. 66–67. 122 indexed citations
8.
Cho, Baek Hwan, Jin Man Park, Kyoobin Lee, et al.. (2016). Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. 1624–1628. 20 indexed citations
9.
Lee, Kyoobin, Jun Haeng Lee, Byungkon Kang, et al.. (2015). Computationally efficient, real-time motion recognition based on bio-inspired visual and cognitive processing. 932–935. 6 indexed citations
10.
Ryu, Hyunsurk, et al.. (2014). Proximity Sensing Based on a Dynamic Vision Sensor for Mobile Devices. IEEE Transactions on Industrial Electronics. 62(1). 536–544. 23 indexed citations
11.
Lee, Jun Haeng, et al.. (2014). Real-Time Gesture Interface Based on Event-Driven Processing From Stereo Silicon Retinas. IEEE Transactions on Neural Networks and Learning Systems. 25(12). 2250–2263. 53 indexed citations
12.
Lee, Jun Haeng, et al.. (2014). Real-time motion estimation based on event-based vision sensor. 204–208. 5 indexed citations
13.
Ryu, Hyunsurk, et al.. (2013). Fast neuromorphic sound localization for binaural hearing aids. PubMed. 2013. 5275–5278. 9 indexed citations
14.
Delbrück, Tobi, et al.. (2012). Live demonstration: Gesture-based remote control using stereo pair of dynamic vision sensors. Zurich Open Repository and Archive (University of Zurich). 24 indexed citations
15.
Lee, Jun Haeng, et al.. (2012). Touchless hand gesture UI with instantaneous responses. 1957–1960. 15 indexed citations
16.
Lee, Kyoobin, et al.. (2012). Four DoF gesture recognition with an event-based image sensor. 293–294. 8 indexed citations
17.
Ryu, Hyunsurk, et al.. (2011). Synchronization of audio/video bridging networks using IEEE 802.1AS. IEEE Communications Magazine. 49(2). 140–147. 29 indexed citations
18.
Ryu, Hyunsurk, et al.. (2006). End-to-end stream establishment in consumer home networks. 2. 888–891. 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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