Kyunghwa Han

11.5k total citations · 3 hit papers
328 papers, 8.0k citations indexed

About

Kyunghwa Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kyunghwa Han has authored 328 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Radiology, Nuclear Medicine and Imaging, 89 papers in Pulmonary and Respiratory Medicine and 76 papers in Surgery. Recurrent topics in Kyunghwa Han's work include Radiomics and Machine Learning in Medical Imaging (98 papers), Cardiac Imaging and Diagnostics (42 papers) and Thyroid Cancer Diagnosis and Treatment (40 papers). Kyunghwa Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (98 papers), Cardiac Imaging and Diagnostics (42 papers) and Thyroid Cancer Diagnosis and Treatment (40 papers). Kyunghwa Han collaborates with scholars based in South Korea, United States and Russia. Kyunghwa Han's co-authors include Seong Ho Park, Eun‐Kyung Kim, Jin Young Kwak, Hee Jung Moon, Jung Hyun Yoon, Eun Ju Son, Byoung Wook Choi, Seung‐Koo Lee, Sung Soo Ahn and Ji Soo Choi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Kyunghwa Han

309 papers receiving 7.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk

2011 832 citations Kyunghwa Han, Jung Hyun Yoon et al. Radiology profile →
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

2018 580 citations Seong Ho Park, Kyunghwa Han Radiology profile →
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study

2020 309 citations Kyunghwa Han, Eun‐Kyung Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyunghwa Han South Korea	42	3.9k	1.7k	1.7k	1.7k	1.2k	328	8.0k
Ian F. Dunn United States	43	1.2k 0.3×	1.3k 0.7×	1.6k 0.9×	1.7k 1.0×	2.4k 2.0×	234	6.9k
Seong Ho Park South Korea	60	3.8k 1.0×	576 0.3×	2.2k 1.3×	3.9k 2.4×	3.5k 2.9×	345	13.2k
Christiane Kühl Germany	64	11.1k 2.8×	812 0.5×	2.5k 1.5×	2.0k 1.2×	770 0.6×	456	18.2k
An Tang Canada	49	3.8k 1.0×	382 0.2×	966 0.6×	1.2k 0.7×	4.1k 3.4×	246	10.4k
Arturo Chiti Italy	46	3.6k 0.9×	509 0.3×	2.4k 1.4×	1.2k 0.7×	1.4k 1.2×	283	7.4k
Kyung Won Kim South Korea	53	2.8k 0.7×	349 0.2×	2.6k 1.5×	3.0k 1.8×	2.1k 1.7×	415	10.5k
Francesco Sardanelli Italy	49	4.8k 1.2×	248 0.1×	1.7k 1.0×	1.7k 1.0×	807 0.7×	405	10.3k
Luca Maria Sconfienza Italy	47	1.7k 0.4×	737 0.4×	990 0.6×	4.3k 2.6×	1.1k 0.9×	355	8.2k
Clifton D. Fuller United States	53	3.6k 0.9×	317 0.2×	3.9k 2.3×	2.9k 1.7×	530 0.4×	607	11.5k
Chong Hyun Suh South Korea	41	2.1k 0.5×	1.1k 0.6×	1.8k 1.1×	1.5k 0.9×	717 0.6×	227	5.7k

Countries citing papers authored by Kyunghwa Han

Since Specialization

Citations

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

Fields of papers citing papers by Kyunghwa Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyunghwa Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kyunghwa Han. A scholar is included among the top collaborators of Kyunghwa Han 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 Kyunghwa Han. Kyunghwa Han 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

Hwang, Eui Jin, Ji Eun Park, Kyoung Doo Song, et al.. (2024). 2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology. Korean Journal of Radiology. 25(7). 613–613. 6 indexed citations

Suh, Young Joo, Kyunghwa Han, Hwiyoung Kim, et al.. (2024). Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas. Yonsei Medical Journal. 65(3). 163–163. 7 indexed citations

Han, Kyunghwa, et al.. (2024). The Impact of Artificial Intelligence on Radiologists’ Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study. Journal of Imaging Informatics in Medicine. 38(4). 1915–1923. 1 indexed citations

Jung, Dae Chul, et al.. (2023). Three-dimensional topology-based T-index as an indicator of surgical difficulty of partial nephrectomy in patients with small renal mass. Investigative and Clinical Urology. 64(5). 448–448.

Shin, Hyun Joo, Min Hyung Kim, Nak‐Hoon Son, et al.. (2023). Clinical Implication and Prognostic Value of Artificial-Intelligence-Based Results of Chest Radiographs for Assessing Clinical Outcomes of COVID-19 Patients. Diagnostics. 13(12). 2090–2090. 2 indexed citations

Lee, Si Eun, Jung Hyun Yoon, Nak‐Hoon Son, Kyunghwa Han, & Hee Jung Moon. (2023). Screening in Patients With Dense Breasts: Comparison of Mammography, Artificial Intelligence, and Supplementary Ultrasound. American Journal of Roentgenology. 222(1). e2329655–e2329655. 13 indexed citations

Jun, Yohan, Yae Won Park, Hyungseob Shin, et al.. (2023). Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning. European Radiology. 33(9). 6124–6133. 8 indexed citations

Chang, Suyon, Kyunghwa Han, Suji Lee, et al.. (2022). Automated Measurement of Native T1 and Extracellular Volume Fraction in Cardiac Magnetic Resonance Imaging Using a Commercially Available Deep Learning Algorithm. Korean Journal of Radiology. 23(12). 1251–1251. 10 indexed citations

Han, Kyunghwa, et al.. (2022). Machine Learning vs. Statistical Model for Prediction Modelling: Application in Medical Imaging Research. SHILAP Revista de lepidopterología. 83(6). 1219–1219. 2 indexed citations

10.

Chang, Yun‐Woo, Jin Kyung An, Nami Choi, et al.. (2022). Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x. Journal of Breast Cancer. 25(1). 57–57. 9 indexed citations

11.

Kim, Seung‐seob, Sunyoung Lee, Hee Seung Lee, et al.. (2022). Retrospective Evaluation of Treatment Response in Patients with Nonmetastatic Pancreatic Cancer Using CT and CA 19-9. Radiology. 303(3). 548–556. 16 indexed citations

12.

Park, Chae Jung, Kyunghwa Han, Hwiyoung Kim, et al.. (2021). MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas. American Journal of Neuroradiology. 42(3). 448–456. 37 indexed citations

13.

Baik, Sung Hyun, Cheolkyu Jung, Byung Moon Kim, Kyunghwa Han, & Dong Joon Kim. (2021). Clot Meniscus Sign: An Angiographic Clue for Choosing between Stent Retriever and Contact Aspiration in Acute Basilar Artery Occlusion. American Journal of Neuroradiology. 42(4). 732–737. 16 indexed citations

14.

Kim, Jin Young, Kyunghwa Han, & Young Joo Suh. (2021). Prevalence of abnormal cardiovascular magnetic resonance findings in recovered patients from COVID-19: a systematic review and meta-analysis. Journal of Cardiovascular Magnetic Resonance. 23(1). 100–100. 27 indexed citations

15.

Park, Yae Won, Song E. Kim, Kyunghwa Han, et al.. (2020). Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls. Scientific Reports. 10(1). 19567–19567. 27 indexed citations

16.

Lee, Joo Yong, et al.. (2020). Stiffness of the Central Corpus Cavernosum on Shear-Wave Elastography Is Inversely Correlated with the Penile Rigidity Score in Patients with Erectile Dysfunction. The World Journal of Men s Health. 39(1). 123–123. 10 indexed citations

17.

Joo, Bio, Kyunghwa Han, Sung Soo Ahn, et al.. (2019). Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma. European Radiology. 29(12). 6643–6652. 56 indexed citations

18.

Kim, Jin Sil, Hye Young Jang, Seong Ho Park, et al.. (2017). MR Enterography Assessment of Bowel Inflammation Severity in Crohn Disease Using the MR Index of Activity Score: Modifying Roles of DWI and Effects of Contrast Phases. American Journal of Roentgenology. 208(5). 1022–1029. 33 indexed citations

19.

Han, Kyunghwa, et al.. (2017). Research Designs and Statistical Methods Trends in the Annals of Rehabilitation Medicine. Annals of Rehabilitation Medicine. 41(3). 475–475. 6 indexed citations

20.

Koh, Jieun, Dae Chul Jung, Young Taik Oh, et al.. (2015). Additional Targeted Biopsy in Clinically Suspected Prostate Cancer: Prospective Randomized Comparison between Contrast-Enhanced Ultrasound and Sonoelastography Guidance. Ultrasound in Medicine & Biology. 41(11). 2836–2841. 11 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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