Kyeongryeol Bong

849 total citations
38 papers, 652 citations indexed

About

Kyeongryeol Bong is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Human-Computer Interaction. According to data from OpenAlex, Kyeongryeol Bong has authored 38 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 24 papers in Electrical and Electronic Engineering and 6 papers in Human-Computer Interaction. Recurrent topics in Kyeongryeol Bong's work include CCD and CMOS Imaging Sensors (18 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Memory and Neural Computing (7 papers). Kyeongryeol Bong is often cited by papers focused on CCD and CMOS Imaging Sensors (18 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Memory and Neural Computing (7 papers). Kyeongryeol Bong collaborates with scholars based in South Korea and Canada. Kyeongryeol Bong's co-authors include Hoi‐Jun Yoo, Sungpill Choi, Changhyeon Kim, Youchang Kim, Seong‐Wook Park, Dongjoo Shin, Jinmook Lee, Kyuho Lee, Injoon Hong and Sanghoon Kang and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Micro.

In The Last Decade

Kyeongryeol Bong

35 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyeongryeol Bong South Korea	15	410	325	101	59	59	38	652
Sungpill Choi South Korea	14	438 1.1×	324 1.0×	154 1.5×	64 1.1×	63 1.1×	36	682
Jong Hwan Ko South Korea	16	290 0.7×	300 0.9×	156 1.5×	76 1.3×	67 1.1×	88	702
Wen‐Jyi Hwang Taiwan	14	141 0.3×	278 0.9×	135 1.3×	42 0.7×	33 0.6×	82	686
César Torres-Huitzil Mexico	15	371 0.9×	263 0.8×	159 1.6×	68 1.2×	47 0.8×	82	737
Ahmed Nabil Belbachir Austria	16	477 1.2×	308 0.9×	81 0.8×	55 0.9×	11 0.2×	72	788
Li Du China	11	349 0.9×	181 0.6×	124 1.2×	50 0.8×	49 0.8×	87	554
Michael DeBole United States	10	628 1.5×	180 0.6×	245 2.4×	41 0.7×	65 1.1×	21	808
Koji Kotani Japan	16	932 2.3×	378 1.2×	77 0.8×	34 0.6×	31 0.5×	137	1.4k
Sanghoon Kang South Korea	15	667 1.6×	606 1.9×	302 3.0×	81 1.4×	112 1.9×	48	1.1k
Berin Martini United States	10	617 1.5×	589 1.8×	248 2.5×	58 1.0×	148 2.5×	13	948

Countries citing papers authored by Kyeongryeol Bong

Since Specialization

Citations

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

Fields of papers citing papers by Kyeongryeol Bong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyeongryeol Bong

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

All Works

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20 of 20 papers shown

Choi, Sungpill, Kyeongryeol Bong, Donghyeon Han, & Hoi‐Jun Yoo. (2019). CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(4). 598–611. 3 indexed citations

Hong, Injoon, Hoi‐Jun Yoo, & Kyeongryeol Bong. (2018). Challenges of eye tracking systems for mobile XR glasses. 42–42. 2 indexed citations

Kang, Sanghoon, Jinmook Lee, Kyeongryeol Bong, et al.. (2018). Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(4). 873–883. 11 indexed citations

Bong, Kyeongryeol, Sungpill Choi, Changhyeon Kim, et al.. (2017). 14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector. 248–249. 106 indexed citations

Bong, Kyeongryeol, Sungpill Choi, Changhyeon Kim, & Hoi‐Jun Yoo. (2017). Low-Power Convolutional Neural Network Processor for a Face-Recognition System. IEEE Micro. 37(6). 30–38. 24 indexed citations

Kim, Kwantae, Kiseok Song, Kyeongryeol Bong, et al.. (2017). A 24 μW 38.51 mΩ<inf>rms</inf> resolution bio-impedance sensor with dual path instrumentation amplifier. 7. 223–226. 5 indexed citations

Bong, Kyeongryeol, Kyuho Lee, & Hoi‐Jun Yoo. (2017). A 590MDE/s semi-global matching processor with lossless data compression. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 18–22. 2 indexed citations

Bong, Kyeongryeol, et al.. (2016). An intelligent ADAS processor with real-time semi-global matching and intention prediction for 720p stereo vision. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–1. 4 indexed citations

Park, Seong‐Wook, Jun-Young Park, Kyeongryeol Bong, et al.. (2016). An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications. IEEE Transactions on Biomedical Circuits and Systems. 9(6). 1–1. 34 indexed citations

10.

Yoo, Hoi Jun, Kyuho Lee, Kyeongryeol Bong, et al.. (2016). A 502GOPS and 0.984mW Dual-Mode ADAS SoC with RNN-FIS Engine for Intention Prediction in Automotive Black-Box System. 13 indexed citations

11.

Kim, Changhyeon, Kyeongryeol Bong, Sungpill Choi, & Hoi‐Jun Yoo. (2016). A 43.7 mW 94 fps CMOS image sensor-based stereo matching accelerator with focal-plane rectification and analog census transformation. 1418–1421. 4 indexed citations

12.

Yoo, Hoi‐Jun, Seong‐Wook Park, Kyeongryeol Bong, et al.. (2015). A 1.93 TOPS/W Scalable Deep Learning/Inference Processor with Tetra-parallel MIMD Architecture for Big Data Applications. 80–81. 34 indexed citations

13.

Park, Seong‐Wook, Kyeongryeol Bong, Dongjoo Shin, et al.. (2015). 4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications. 1–3. 78 indexed citations

14.

Hong, Injoon, Kyeongryeol Bong, Dongjoo Shin, et al.. (2015). 18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–3. 16 indexed citations

15.

Hong, Injoon, Kyeongryeol Bong, Dongjoo Shin, et al.. (2015). A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses. IEEE Journal of Solid-State Circuits. 51(1). 45–55. 17 indexed citations

16.

Hong, Injoon, Dongjoo Shin, Youchang Kim, et al.. (2015). A keypoint-level parallel pipelined object recognition processor with gaze activation image sensor for mobile smart glasses system. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–3. 1 indexed citations

17.

Kim, Gyeonghoon, Kyuho Lee, Youchang Kim, et al.. (2014). A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD Applications. IEEE Journal of Solid-State Circuits. 50(1). 113–124. 28 indexed citations

18.

Kim, Gyeonghoon, Youchang Kim, Kyuho Lee, et al.. (2014). 10.4 A 1.22TOPS and 1.52mW/MHz augmented reality multi-core processor with neural network NoC for HMD applications. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 182–183. 10 indexed citations

19.

Park, Junyoung, Injoon Hong, Gyeonghoon Kim, et al.. (2013). A multi-granularity parallelism object recognition processor with content-aware fine-grained task scheduling. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–3.

20.

Roh, Taehwan, et al.. (2012). Wearable mental-health monitoring platform with independent component analysis and nonlinear chaotic analysis. PubMed. 2012. 4541–4544. 15 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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