Doyun Kim
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Seoul National Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-6373-9660
- OpenAlex ID
- A5100723393as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 12
0.5V-V<inf>IN</inf>, 165-mA/mm<sup>2</sup> Fully-Integrated Digital LDO Based on Event-Driven Self-Triggering Control,
8.2 Fully integrated low-drop-out regulator based on event-driven PI control,
A 67.1-ps FOM, 0.5-V-Hybrid Digital LDO With Asynchronous Feedforward Control Via Slope Detection and Synchronous PI With State-Based Hysteresis Clock Switching,
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model,
A Deep Learning Model for Screening Computed Tomography Imaging for Thyroid Eye Disease and Compressive Optic Neuropathy,
Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data,
Developing neural network models for early detection of cardiac arrest in emergency department,
How Conflict Occurs and What Causes Conflict: Conflict Analysis Framework for Public Infrastructure Projects
+4 more
← Authored by 12
0.5V-V<inf>IN</inf>, 165-mA/mm<sup>2</sup> Fully-Integrated Digital LDO Based on Event-Driven Self-Triggering Control,
8.2 Fully integrated low-drop-out regulator based on event-driven PI control,
A 67.1-ps FOM, 0.5-V-Hybrid Digital LDO With Asynchronous Feedforward Control Via Slope Detection and Synchronous PI With State-Based Hysteresis Clock Switching,
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model,
A Deep Learning Model for Screening Computed Tomography Imaging for Thyroid Eye Disease and Compressive Optic Neuropathy,
Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data,
Developing neural network models for early detection of cardiac arrest in emergency department,
How Conflict Occurs and What Causes Conflict: Conflict Analysis Framework for Public Infrastructure Projects
+4 more
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Summary
Doyun Kim is a human[1].