Korean Journal of Radiology

Aims & Scope

The inaugural issue of the Korean J Radiol came out in March 2000.

Our journal aims to produce and propagate knowledge on radiologic imaging and related sciences.

A unique feature of the articles published in the Journal will be their reflection of global trends in radiology combined with an East-Asian perspective.

Geographic differences in disease prevalence will be reflected in the contents of papers, and this will serve to enrich our body of knowledge.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	5.3
2024	4.40

SJR (SCImago Journal Rank)

Year	Value
2024	1.247

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	78

Journal Rank

Year	Value
2024	3325

Journal Citation Indicator

Year	Value
2024	1949

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Medicine, designed to support cutting-edge academic discovery.

---

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Deep Learning in Medical Imaging: General Overview

  Citation: 1030

  Authors: June-Goo, Sanghoon, Young-Won, Hyunna, Guk Bae, Joon Beom, Namkug

• Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations

  Citation: 743

  Authors: Jung Hee, Jung Hwan, Jin, Eun Joo, Ji-hoon, Young Hen, Hyun Kyung, Won-Jin, Dong Gyu, Jeong Seon, Yoon Jung, Soo Yeon, Se Jeong, So Lyung, Dong Wook, Eun-Kyung, Jin Young, Chang Yoon, Hui Joong, Jeong Hyun, Joon Hyung, Kwang Hui, Sun-Won, Jin Young

• Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists

  Citation: 678

  Authors: Seong Ho, Jin Mo, Chan-Hee

• 2017 Thyroid Radiofrequency Ablation Guideline: Korean Society of Thyroid Radiology

  Citation: 526

  Authors: Ji-hoon, Jung Hwan, Hyun Kyung, Hye Shin, Seon Mi, Yoon Jung, Young Jun, Sae Rom, Eun Ju, Soo Yeon, So Lyung, Dae Sik, Soo Jin, Yeo Koon, Chang Yoon, Jeong Hyun, Kwang Hwi, Young Hen, Jeong Seon, Hyesun, Jung Hee, Chong Hyun, Jin Yong, Jung Suk, Inyoung, Miyoung, Dong Gyu

• Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea

  Citation: 459

  Authors: Soon Ho, Kyung Hee, Jin Yong, Young Kyung, Hongseok, Ki Hwan, Chang Min, Yun-Hyeon

• Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part II. Statistical Methods of Meta-Analysis

  Citation: 401

  Authors: Juneyoung, Kyung Won, Sang Hyun, Jimi, Seong Ho

• Ultrasonography and the Ultrasound-Based Management of Thyroid Nodules: Consensus Statement and Recommendations

  Citation: 384

  Authors: Won-Jin, Jung Hwan, So Lyung, Dong Wook, Eun Kyung, Ji Young, Jin Young, Jeong Hyun, Joon Hyung, Young Hen, Dong Gyu, Jeong Seon, Sun Won

• Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

  Citation: 383

  Authors: Dong Wook, Hye Young, Kyung Won, Youngbin, Seong Ho

• Dual-Energy CT: New Horizon in Medical Imaging

  Citation: 332

  Authors: Hyun Woo, Jin Mo

• Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives

  Citation: 284

  Authors: Ji Eun, Seo Young, Hwa Jung, Ho Sung

---