Jong Hyo Kim

2.4k total citations
104 papers, 1.8k citations indexed

About

Jong Hyo Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jong Hyo Kim has authored 104 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Biomedical Engineering and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jong Hyo Kim's work include Advanced X-ray and CT Imaging (34 papers), Radiation Dose and Imaging (29 papers) and Medical Imaging Techniques and Applications (28 papers). Jong Hyo Kim is often cited by papers focused on Advanced X-ray and CT Imaging (34 papers), Radiation Dose and Imaging (29 papers) and Medical Imaging Techniques and Applications (28 papers). Jong Hyo Kim collaborates with scholars based in South Korea, Ethiopia and United States. Jong Hyo Kim's co-authors include Jin Mo Goo, Chulkyun Ahn, Eun‐Ah Park, Hyun Ju Lee, Chang Won Kim, Kwang Gi Kim, Jeong Min Lee, Jung-Gi Im, Youngwoo Kim and Chang Hyun Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Jong Hyo Kim

98 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong Hyo Kim South Korea 26 1.2k 701 536 208 111 104 1.8k
Masahiro Yanagawa Japan 28 1.2k 1.1× 554 0.8× 1.1k 2.0× 193 0.9× 33 0.3× 117 2.3k
Eui Jin Hwang South Korea 27 1.9k 1.6× 384 0.5× 1.2k 2.3× 350 1.7× 56 0.5× 93 2.7k
Tobias Penzkofer Germany 28 912 0.8× 462 0.7× 845 1.6× 146 0.7× 71 0.6× 124 2.0k
Nicholas Hardcastle Australia 28 1.5k 1.3× 400 0.6× 1.3k 2.5× 55 0.3× 75 0.7× 181 2.3k
W DˈSouza United States 26 1.4k 1.2× 452 0.6× 1.2k 2.1× 58 0.3× 75 0.7× 108 2.4k
Isaac Shiri Switzerland 36 2.9k 2.5× 1.4k 2.0× 860 1.6× 544 2.6× 178 1.6× 174 3.6k
Kai Ding United States 26 877 0.8× 333 0.5× 717 1.3× 50 0.2× 75 0.7× 118 1.9k
George Shih United States 19 1000 0.9× 204 0.3× 200 0.4× 337 1.6× 145 1.3× 70 1.6k
Eric C. Ford United States 29 2.1k 1.8× 517 0.7× 1.3k 2.4× 51 0.2× 54 0.5× 81 3.0k
Mohammad Reza Ay Iran 25 2.0k 1.7× 1.4k 2.0× 387 0.7× 44 0.2× 59 0.5× 182 2.4k

Countries citing papers authored by Jong Hyo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong Hyo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Hyo Kim. 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 Jong Hyo Kim. The network helps show where Jong Hyo Kim may publish in the future.

Co-authorship network of co-authors of Jong Hyo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Hyo Kim. A scholar is included among the top collaborators of Jong Hyo Kim 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 Jong Hyo Kim. Jong Hyo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Park, Chang-Min, et al.. (2024). Age-dependent generalizability of lumbar spine detection and segmentation models: a comparative study in pediatric populations. Seoul National University Open Repository (Seoul National University). 74–74. 1 indexed citations
4.
Ahn, Chulkyun & Jong Hyo Kim. (2023). AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography. Diagnostics. 14(1). 96–96. 3 indexed citations
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Bak, So Hyeon, et al.. (2020). Emphysema quantification using low-dose computed tomography with deep learning–based kernel conversion comparison. European Radiology. 30(12). 6779–6787. 21 indexed citations
7.
Kim, Jong Hyo, et al.. (2019). Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT. Physics in Medicine and Biology. 64(13). 135010–135010. 20 indexed citations
8.
Storz, Corinna, Jong Hyo Kim, Jakob Weiß, et al.. (2019). Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitis. European Journal of Radiology. 116. 198–204. 29 indexed citations
9.
Walter, Sven S., Corinna Storz, Jakob Weiß, et al.. (2018). Effects of Radiation Dose Reduction on Diagnostic Accuracy of Abdominal CT in Young Adults with Suspected Acute Diverticulitis: A Retrospective Intraindividual Analysis. Academic Radiology. 26(6). 782–790. 4 indexed citations
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Storz, Corinna, Jong Hyo Kim, Jakob Weiß, et al.. (2017). Impact of Radiation Dose Reduction in Abdominal Computed Tomography on Diagnostic Accuracy and Diagnostic Performance in Patients with Suspected Appendicitis. Academic Radiology. 25(3). 309–316. 6 indexed citations
12.
Othman, Mohamed I. A., Carolin Brockmann, Chang-Won Kim, et al.. (2015). Impact of image denoising on image quality, quantitative parameters and sensitivity of ultra-low-dose volume perfusion CT imaging. European Radiology. 26(1). 167–174. 15 indexed citations
13.
Lee, Myungeun, et al.. (2012). Segmentation of interest region in medical volume images using geometric deformable model. Computers in Biology and Medicine. 42(5). 523–537. 17 indexed citations
14.
Kim, Jeong Ah, et al.. (2010). Microheater based on magnetic nanoparticle embedded PDMS. Nanotechnology. 21(16). 165102–165102. 23 indexed citations
15.
Park, Sang Joon, et al.. (2009). Classification of Benign/Malignant PNGGOs using K-means algorithm in MDCT Images: A Preliminary Study. Seoul National University Open Repository (Seoul National University). 108(385). 257–260. 1 indexed citations
16.
Kim, Se Hyung, Jeong Min Lee, Kwang Gi Kim, et al.. (2008). Computer-aided image analysis of focal hepatic lesions in ultrasonography: preliminary results. Abdominal Imaging. 34(2). 183–191. 15 indexed citations
17.
Goo, Jin Mo, Jeong Won Lee, Hyun Ju Lee, et al.. (2003). Automated Lung Nodule Detection at Low-Dose CT: Preliminary Experience. Korean Journal of Radiology. 4(4). 211–211. 47 indexed citations
18.
Choi, Yo Won, H. Page McAdams, Seok Chol Jeon, et al.. (2002). Low-Dose Spiral CT: Application to Surface-Rendered Three-Dimensional Imaging of Central Airways. Journal of Computer Assisted Tomography. 26(3). 335–341. 17 indexed citations
19.
Hee, Joo, Byung Ihn Choi, Eun Joo Yun, et al.. (2001). Differentiation of Diffuse Liver Disease with Computer-Aided Tissue Echo Quantification.. ULTRASONOGRAPHY. 18(2). 81–86. 1 indexed citations
20.
Park, Hong Jun, et al.. (1998). 435 Current Status of Korean Style PACS Development in Seoul National University Hospital. 419. 2 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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