Kyeongryeol Bong
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Hardware and Architecture top 10%
- Co-authors
- Hoi‐Jun YooSungpill ChoiChanghyeon KimYouchang KimSeong‐Wook ParkDongjoo ShinJinmook LeeKyuho Lee
- Topics
- CCD and CMOS Imaging Sensors (18 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Memory and Neural Computing (7 papers)
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Circuits and Systems I Regular PapersIEEE Micro
- Partner nations
- South KoreaCanada
In The Last Decade
Kyeongryeol Bong
35 papers receiving 633 citations
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 410
- Computer Vision and Pattern Recognition 325
- Artificial Intelligence 101
- Computer Networks and Communications 59
- Hardware and Architecture 59
Countries citing papers authored by Kyeongryeol Bong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 106 | |
| 3 | 24 | |
| 4 | 5 | |
| 5 | A 0.62mW Ultra-low-power Convolutional Neural Network Face Recognition Processor and a CIS Integrated with Always-on Haar-like Face Detector | 8 |
| 6 | 2 | |
| 7 | 84 | |
| 8 | A 502GOPS and 0.984mW Dual-Mode ADAS SoC with RNN-FIS Engine for Intention Prediction in Automotive Black-Box System | 13 |
| 9 | 4 | |
| 10 | 34 | |
| 11 | A 1.93 TOPS/W Scalable Deep Learning/Inference Processor with Tetra-parallel MIMD Architecture for Big Data Applications | 34 |
| 12 | 78 | |
| 13 | 16 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 28 | |
| 18 | 16 | |
| 19 | 35 | |
| 20 | 15 |
About Kyeongryeol Bong
Kyeongryeol Bong is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 38 papers that have together received 652 indexed citations. Recurring topics across this 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). The work is most often cited by research in Computer Vision and Pattern Recognition (325 citations), Hardware and Architecture (59 citations) and Human-Computer Interaction (44 citations). Kyeongryeol Bong has collaborated with scholars based in South Korea and Canada. Frequent 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. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Micro.
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.