Jiyoung Hwang

1.1k total citations
41 papers, 749 citations indexed

About

Jiyoung Hwang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology. According to data from OpenAlex, Jiyoung Hwang has authored 41 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Jiyoung Hwang's work include MRI in cancer diagnosis (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jiyoung Hwang is often cited by papers focused on MRI in cancer diagnosis (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jiyoung Hwang collaborates with scholars based in South Korea, Canada and Germany. Jiyoung Hwang's co-authors include Won Jae Lee, Seong Hyun Kim, Mi Hee Lee, Seong Sook Hong, Min Woo Lee, Min Jung Park, Young Kon Kim, Young Kon Kim, Hyunchul Rhim and Jodi Siever and has published in prestigious journals such as Radiology, American Journal of Roentgenology and World Journal of Gastroenterology.

In The Last Decade

Jiyoung Hwang

40 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyoung Hwang South Korea 17 275 257 228 222 173 41 749
Carla Harmath United States 16 234 0.9× 248 1.0× 254 1.1× 238 1.1× 226 1.3× 36 829
Stéphane Bahrami France 11 350 1.3× 132 0.5× 147 0.6× 435 2.0× 63 0.4× 21 846
Robert M. Marks United States 15 510 1.9× 334 1.3× 136 0.6× 431 1.9× 78 0.5× 41 916
Götz M. Richter Germany 21 231 0.8× 153 0.6× 578 2.5× 159 0.7× 393 2.3× 103 1.1k
S. Dewas France 15 298 1.1× 245 1.0× 273 1.2× 64 0.3× 297 1.7× 35 932
Ashraf Thabet United States 16 104 0.4× 84 0.3× 303 1.3× 68 0.3× 337 1.9× 42 836
Shaelyn Culleton Canada 18 159 0.6× 93 0.4× 367 1.6× 103 0.5× 244 1.4× 31 838
Luluel Khan Canada 16 116 0.4× 61 0.2× 193 0.8× 171 0.8× 178 1.0× 33 692
Yogesh Kumar United States 17 67 0.2× 93 0.4× 207 0.9× 111 0.5× 117 0.7× 54 715
Abderrahmane Bourredjem France 16 142 0.5× 153 0.6× 551 2.4× 118 0.5× 406 2.3× 49 1.4k

Countries citing papers authored by Jiyoung Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Jiyoung Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyoung Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyoung Hwang. A scholar is included among the top collaborators of Jiyoung Hwang 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 Jiyoung Hwang. Jiyoung Hwang 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
1.
Park, Suyeon, Hyunjoo Kim, Young Cheol Yoon, et al.. (2023). Longitudinal Association between L1 Trabecular Attenuation from ChestComputed Tomography (CT) and Bone Mineral Density from DualenergyX-ray Absorptiometry (DXA). Current Medical Imaging Formerly Current Medical Imaging Reviews. 19(12). 1372–1377. 4 indexed citations
2.
Lee, Eun Ji, Yun‐Woo Chang, Seong Sook Hong, et al.. (2020). Disseminated Peritoneal Leiomyomatosis with Atypical Features and Comorbid Uterine STUMP: a Case Report and Review of the Literature. Investigative Magnetic Resonance Imaging. 24(3). 162–162. 2 indexed citations
3.
Hwang, Jiyoung, et al.. (2018). Prospective analysis of emergency ophthalmic referrals in a Canadian tertiary teaching hospital. Canadian Journal of Ophthalmology. 53(5). 497–502. 14 indexed citations
4.
Gyu, Jang, et al.. (2018). Visibility of bony structures around hip prostheses in dual‐energy CT: With or without metal artefact reduction software. Journal of Medical Imaging and Radiation Oncology. 62(5). 634–641. 5 indexed citations
5.
Hwang, Jiyoung, et al.. (2017). Barium Peritonitis Following Upper Gastrointestinal Series: A Case Report. Journal of the Korean Society of Radiology. 76(6). 425–425. 2 indexed citations
6.
7.
Hwang, Jiyoung, Young Kon Kim, Ji Hye Min, et al.. (2017). Capsule, septum, and T2 hyperintense foci for differentiation between large hepatocellular carcinoma (≥5 cm) and intrahepatic cholangiocarcinoma on gadoxetic acid MRI. European Radiology. 27(11). 4581–4590. 23 indexed citations
8.
Hwang, Jiyoung, Lisa Wang, & Charlotte Jones. (2016). Tackling Social Isolation and Loneliness in Community Exercise Programs for Seniors. 8(1). 40–41. 2 indexed citations
9.
10.
Hwang, Jiyoung, Young Kon Kim, Woo Kyoung Jeong, et al.. (2015). Nonhypervascular Hypointense Nodules at Gadoxetic Acid–enhanced MR Imaging in Chronic Liver Disease: Diffusion-weighted Imaging for Characterization. Radiology. 276(1). 137–146. 38 indexed citations
11.
Kim, Jae Heon, Seung Whan Doo, Kang Su Cho, et al.. (2015). Which anthropometric measurements including visceral fat, subcutaneous fat, body mass index, and waist circumference could predict the urinary stone composition most?. BMC Urology. 15(1). 17–17. 16 indexed citations
12.
Jang, Kyung Mi, Seong Hyun Kim, Jiyoung Hwang, et al.. (2014). Differentiation of Malignant From Benign Focal Splenic Lesions: Added Value of Diffusion-Weighted MRI. American Journal of Roentgenology. 203(4). 803–812. 29 indexed citations
13.
Hwang, Jiyoung, Young Kon Kim, Jong Man Kim, et al.. (2014). Pretransplant Diagnosis of Hepatocellular Carcinoma by Gadoxetic Acid–Enhanced and Diffusion-Weighted Magnetic Resonance Imaging. Liver Transplantation. 20(12). 1436–1446. 15 indexed citations
14.
Park, Hyun Jeong, Min Woo Lee, Min Woo Lee, et al.. (2013). Fusion Imaging–Guided Percutaneous Biopsy of Focal Hepatic Lesions With Poor Conspicuity on Conventional Sonography. Journal of Ultrasound in Medicine. 32(9). 1557–1564. 42 indexed citations
15.
Hwang, Jiyoung, Dongil Choi, Hyun Chul Rhim, et al.. (2013). Gadoxetic acid-enhanced MRI for T-staging of gallbladder carcinoma: emphasis on liver invasion. British Journal of Radiology. 87(1033). 20130608–20130608. 11 indexed citations
16.
Jang, Kyung Mi, Seong Hyun Kim, Soon Jin Lee, et al.. (2012). Added Value of Diffusion-weighted MR Imaging in the Diagnosis of Ampullary Carcinoma. Radiology. 266(2). 491–501. 19 indexed citations
17.
Hwang, Jiyoung, Young Kon Kim, Min Jung Park, et al.. (2012). Differentiating combined hepatocellular and cholangiocarcinoma from mass‐forming intrahepatic cholangiocarcinoma using gadoxetic acid‐enhanced MRI. Journal of Magnetic Resonance Imaging. 36(4). 881–889. 74 indexed citations
18.
19.
Hwang, Jiyoung, Young Kon Kim, Min Jung Park, et al.. (2012). Liver MRI at 3.0 Tesla. Journal of Computer Assisted Tomography. 36(5). 546–553. 5 indexed citations
20.
Hwang, Jiyoung & Yeon Hyeon Choe. (2011). Cardiovascular sources of systemic embolism: detection and characterization using multidetector CT and MR imaging. International journal of cardiac imaging. 27(5). 727–744. 3 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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