Hyunkwang Lee
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 1
- Medical Imaging Techniques and Applications 1
-
- Advanced Memory and Neural Computing 4
- Ferroelectric and Negative Capacitance Devices 2
- Co-authors
- Synho Do (8 shared papers)Shahein Tajmir (7 shared papers)Gu-Yeon Wei (5 shared papers)Saketh Rama (4 shared papers)Sae Kyu Lee (4 shared papers)David Brooks (4 shared papers)Brandon Reagen (3 shared papers)Robert Adolf (2 shared papers)
- Journals
- Journal of Digital Imaging (4 papers)Radiology Artificial Intelligence (2 papers)Nature Biomedical Engineering (1 paper)Scientific Reports (1 paper)Skeletal Radiology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Hyunkwang Lee
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 229
- Hardware and Architecture 171
- Computer Vision and Pattern Recognition 419
- Oral Surgery 145
- Radiology, Nuclear Medicine and Imaging 450
Countries citing papers authored by Hyunkwang Lee
This map shows the geographic impact of Hyunkwang Lee'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 Hyunkwang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunkwang Lee more than expected).
Fields of papers citing papers by Hyunkwang Lee
This network shows the impact of papers produced by Hyunkwang Lee. 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 Hyunkwang Lee. The network helps show where Hyunkwang Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyunkwang Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fully Automated Deep Learning System for Bone Age Assessment Hit paper breakdown → | 2017 | 319 |
| 2 | An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets Hit paper breakdown → | 2018 | 309 |
| 3 | 2016 | 305 | |
| 4 | 2016 | 178 | |
| 5 | 2017 | 123 | |
| 6 | 2017 | 119 | |
| 7 | 2018 | 89 | |
| 8 | 2019 | 82 | |
| 9 | 14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications | 2017 | 56 |
| 10 | 2017 | 39 | |
| 11 | 2019 | 33 | |
| 12 | 2018 | 30 | |
| 13 | 2015 | 14 | |
| 14 | 2024 | 7 | |
| 15 | Towards generative adversarial networks as a new paradigm for radiology education | 2018 | 1 |
About Hyunkwang Lee
Hyunkwang Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers), AI in cancer detection (2 papers), Advanced Neural Network Applications (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), COVID-19 diagnosis using AI (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (229 citations), Hardware and Architecture (171 citations), Computer Vision and Pattern Recognition (419 citations), Oral Surgery (145 citations) and Radiology, Nuclear Medicine and Imaging (450 citations). Hyunkwang Lee has collaborated with scholars based in United States and Germany. Frequent co-authors include Synho Do, Shahein Tajmir, Gu-Yeon Wei, Saketh Rama, Sae Kyu Lee, David Brooks, Brandon Reagen, Robert Adolf, José Miguel Hernández-Lobato and Paul N. Whatmough. Their work appears in journals such as Journal of Digital Imaging, Radiology Artificial Intelligence, Nature Biomedical Engineering, Scientific Reports and Skeletal Radiology.
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.