Jaeyoun Yi

849 total citations
29 papers, 544 citations indexed

About

Jaeyoun Yi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaeyoun Yi has authored 29 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaeyoun Yi's work include Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (5 papers). Jaeyoun Yi is often cited by papers focused on Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (5 papers). Jaeyoun Yi collaborates with scholars based in South Korea, United States and Netherlands. Jaeyoun Yi's co-authors include Hyun Mun Kim, Jong Beom, Donghoon Yu, Joon Beom Seo, Namkug Kim, Jihye Yun, Sang Min Lee, Hye Jeon Hwang, Jooae Choe and Minho Lee and has published in prestigious journals such as Radiology, Biochemical and Biophysical Research Communications and European Heart Journal.

In The Last Decade

Jaeyoun Yi

26 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaeyoun Yi South Korea	12	207	200	171	74	54	29	544
Tryphon Lambrou United Kingdom	14	179 0.9×	401 2.0×	274 1.6×	92 1.2×	34 0.6×	34	921
Rudi Deklerck Belgium	16	214 1.0×	401 2.0×	384 2.2×	232 3.1×	92 1.7×	54	946
Yuanzhi Cheng China	13	100 0.5×	260 1.3×	253 1.5×	95 1.3×	63 1.2×	48	572
Mark Marsden United States	9	126 0.6×	50 0.3×	170 1.0×	96 1.3×	74 1.4×	14	488
Xiao Jin China	13	48 0.2×	223 1.1×	146 0.9×	124 1.7×	40 0.7×	34	548
Tahir Mahmood South Korea	13	61 0.3×	192 1.0×	342 2.0×	77 1.0×	46 0.9×	30	620
Florian Link Germany	7	94 0.5×	136 0.7×	159 0.9×	89 1.2×	56 1.0×	9	422
Harshawn Malhi United States	10	98 0.5×	42 0.2×	196 1.1×	67 0.9×	96 1.8×	14	439
Brent J. Liu United States	10	90 0.4×	97 0.5×	190 1.1×	85 1.1×	43 0.8×	74	550

Countries citing papers authored by Jaeyoun Yi

Since Specialization

Citations

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

Fields of papers citing papers by Jaeyoun Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeyoun Yi

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

Jiang, Beibei, Michael P.A. Davies, Jan W. Gratama, et al.. (2025). Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction. European Journal of Cancer. 220. 115324–115324. 3 indexed citations

Mao, Yifei, Marjolein A. Heuvelmans, Daiwei Han, et al.. (2025). Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset. European Journal of Radiology. 191. 112290–112290.

Jiang, Beibei, Michael P.A. Davies, Jan‐Willem Gratama, et al.. (2025). AI performance for nodule volume doubling time in the follow-up of the UKLS lung cancer screening study compared to expert consensus and histological validation. European Journal of Cancer. 232. 116137–116137.

Choe, Jooae, Hye Jeon Hwang, Jong Chul Ye, et al.. (2024). Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion. European Journal of Radiology. 183. 111899–111899. 1 indexed citations

Choe, Jooae, Hye Jeon Hwang, Sang Min Lee, et al.. (2022). Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification. European Journal of Radiology. 157. 110564–110564. 25 indexed citations

Zheng, Sunyi, Donghoon Yu, Valeria Chernina, et al.. (2022). Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification. Lung Cancer. 165. 133–140. 34 indexed citations

Choe, Jooae, Hye Jeon Hwang, Joon Beom Seo, et al.. (2021). Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT. Radiology. 302(1). 187–197. 83 indexed citations

Hwang, Eui Jin, Jin Mo Goo, Hyae Young Kim, Jaeyoun Yi, & Yeol Kim. (2021). Optimum diameter threshold for lung nodules at baseline lung cancer screening with low-dose chest CT: exploration of results from the Korean Lung Cancer Screening Project. European Radiology. 31(9). 7202–7212. 9 indexed citations

Hwang, Eui Jin, Jin Mo Goo, Hyae Young Kim, et al.. (2020). Implementation of the cloud-based computerized interpretation system in a nationwide lung cancer screening with low-dose CT: comparison with the conventional reading system. European Radiology. 31(1). 475–485. 19 indexed citations

10.

Hwang, Eui Jin, Jin Mo Goo, Hyae Young Kim, et al.. (2020). Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading. European Radiology. 31(5). 2845–2855. 12 indexed citations

11.

Yun, Jihye, Donghoon Yu, Jaeyoun Yi, et al.. (2018). Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Medical Image Analysis. 51. 13–20. 75 indexed citations

12.

Seo, Sung‐Keum, Jaehee Kim, Taeboo Choe, et al.. (2014). Knockdown of TWIST1 enhances arsenic trioxide- and ionizing radiation-induced cell death in lung cancer cells by promoting mitochondrial dysfunction. Biochemical and Biophysical Research Communications. 449(4). 490–495. 12 indexed citations

13.

Jin, Hyeon‐Ok, Sung‐Keum Seo, Sang‐Hyeok Woo, et al.. (2011). Redd1 inhibits the invasiveness of non-small cell lung cancer cells. Biochemical and Biophysical Research Communications. 407(3). 507–511. 19 indexed citations

14.

Yi, Jaeyoun, et al.. (2003). Automatic flight path generation in a virtual colonoscopy system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5029. 669–669. 2 indexed citations

15.

Yi, Jaeyoun, Ki‐Uk Kyung, Dong‐Soo Kwon, et al.. (2002). Spine needle biopsy simulator using visual and force feedback. Computer Aided Surgery. 7(6). 353–363. 29 indexed citations

16.

Kwon, Sung Min, J.K. Kim, Jaeyoun Yi, et al.. (2002). Spine Needle Biopsy Simulator Using Visual and Force Feedback. Computer Aided Surgery. 7(6). 353–363. 21 indexed citations

17.

Yi, Jaeyoun, et al.. (2001). Biochemical Characterization of Adriamycin-Resistance in PC-14 Human Lung Adenocarcinoma Cell Line. BMB Reports. 34(1). 66–72. 4 indexed citations

18.

Yi, Jaeyoun & Jong Beom. (2001). <title>Vascular segmentation algorithm using locally adaptive region growing based on centerline estimation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4322. 1329–1336. 4 indexed citations

19.

Yi, Jaeyoun, et al.. (2000). <title>Efficient segmentation algorithm for 3D medical image data using a region-growing-based tracking technique</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3979. 880–887. 4 indexed citations

20.

Yi, Jaeyoun, et al.. (1999). A deblocking filter with two separate modes in block-based video coding. IEEE Transactions on Circuits and Systems for Video Technology. 9(1). 156–160. 112 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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