Jae Yeon Wi

894 total citations
9 papers, 675 citations indexed

About

Jae Yeon Wi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jae Yeon Wi has authored 9 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Jae Yeon Wi's work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging and Pathology Studies (4 papers). Jae Yeon Wi is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging and Pathology Studies (4 papers). Jae Yeon Wi collaborates with scholars based in South Korea, Ethiopia and United States. Jae Yeon Wi's co-authors include Chang Min Park, Jin Mo Goo, Sang Min Lee, Hyunju Lee, Chang Hyun Kang, Sang Min Lee, Heae Surng Park, Sang Joon Park, Heounjeong Go and Doo Hyun Chung and has published in prestigious journals such as Clinical Infectious Diseases, Radiology and European Radiology.

In The Last Decade

Jae Yeon Wi

9 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Yeon Wi South Korea 8 484 461 50 40 38 9 675
Yong Sub Song South Korea 13 295 0.6× 440 1.0× 56 1.1× 42 1.1× 38 1.0× 19 627
Zhaoyan Feng China 13 295 0.6× 322 0.7× 63 1.3× 34 0.8× 22 0.6× 24 494
Annemilia del Ciello Italy 12 439 0.9× 314 0.7× 80 1.6× 25 0.6× 54 1.4× 29 650
Florian Prayer Austria 11 240 0.5× 413 0.9× 51 1.0× 23 0.6× 127 3.3× 36 646
Koichiro Kimura Japan 12 128 0.3× 190 0.4× 139 2.8× 30 0.8× 47 1.2× 56 398
Dharshan Vummidi United States 11 352 0.7× 218 0.5× 75 1.5× 41 1.0× 25 0.7× 22 653
Lorentz G.B.A. Quekel Netherlands 8 219 0.5× 284 0.6× 48 1.0× 6 0.1× 43 1.1× 9 437
Mingxiang Wu China 12 89 0.2× 216 0.5× 42 0.8× 47 1.2× 43 1.1× 33 386
Alberto López García United States 10 503 1.0× 596 1.3× 39 0.8× 29 0.7× 206 5.4× 20 751
Ismail Kabakus United States 13 416 0.9× 452 1.0× 60 1.2× 6 0.1× 146 3.8× 45 678

Countries citing papers authored by Jae Yeon Wi

Since Specialization
Citations

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

Fields of papers citing papers by Jae Yeon Wi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Yeon Wi. 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 Jae Yeon Wi. The network helps show where Jae Yeon Wi may publish in the future.

Co-authorship network of co-authors of Jae Yeon Wi

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

All Works

9 of 9 papers shown
1.
Hwang, Eui Jin, Sunggyun Park, Kwang-Nam Jin, et al.. (2018). Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs. Clinical Infectious Diseases. 69(5). 739–747. 162 indexed citations
2.
Kim, Soo Chin, Ji‐hoon Kim, Seung Hong Choi, et al.. (2016). Off-site evaluation of three-dimensional ultrasound for the diagnosis of thyroid nodules: comparison with two-dimensional ultrasound. European Radiology. 26(10). 3353–3360. 19 indexed citations
3.
Sun, Hye Young, Joon Woo Lee, Kyung Seok Park, Jae Yeon Wi, & Heung Sik Kang. (2014). Spine MR imaging features of subacute combined degeneration patients. European Spine Journal. 23(5). 1052–1058. 29 indexed citations
4.
Choi, Wonseok, Chang Min Park, Yong Sub Song, et al.. (2014). Transient subsolid nodules in patients with extrapulmonary malignancies: their frequency and differential features. Acta Radiologica. 56(4). 428–437. 17 indexed citations
5.
Lee, Sang Min, Chang Min Park, Jin Mo Goo, et al.. (2013). Invasive Pulmonary Adenocarcinomas versus Preinvasive Lesions Appearing as Ground-Glass Nodules: Differentiation by Using CT Features. Radiology. 268(1). 265–273. 240 indexed citations
6.
Lee, Kyung Hee, Jin Mo Goo, Sang Joon Park, et al.. (2013). Correlation between the Size of the Solid Component on Thin-Section CT and the Invasive Component on Pathology in Small Lung Adenocarcinomas Manifesting as Ground-Glass Nodules. Journal of Thoracic Oncology. 9(1). 74–82. 178 indexed citations
8.
Wi, Jae Yeon, Se Hyung Kim, Jae Young Lee, et al.. (2010). Electronic cleansing for CT colonography: does it help CAD software performance in a high-risk population for colorectal cancer?. European Radiology. 20(8). 1905–1916. 8 indexed citations
9.
Wi, Jae Yeon, Hyo‐Cheol Kim, Jin Wook Chung, et al.. (2009). Importance of Angiographic Visualization of Round Ligament Arteries in Women Evaluated for Intractable Vaginal Bleeding after Uterine Artery Embolization. Journal of Vascular and Interventional Radiology. 20(8). 1031–1035. 18 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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