Donghwi Hwang

824 citations
13 papers · 588 indexed · h-index 9
Topics
Medical Imaging Techniques and Applications (13 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Advanced X-ray and CT Imaging (7 papers)

In The Last Decade

Donghwi Hwang

13 papers receiving 587 citations

Peers

Donghwi Hwang
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 484
  • Biomedical Engineering 236
  • Radiation 156
  • Computer Vision and Pattern Recognition 110
  • Pulmonary and Respiratory Medicine 73
Replace Kyeong Yun Kim with:
Kyeong Yun Kim South Korea
Brian Harrawood United States
Dianlin Hu China
Hessam Sokooti Netherlands
Kibo Ote Japan
Jinghao Zhou United States
Koen A. J. Eppenhof Netherlands
Yuya Onishi Japan
Jongduk Baek South Korea
Alireza Kamali‐Asl Iran
Donghwi Hwang relative to Kyeong Yun Kim South Korea Kyeong Yun Kim's profile →
Citations per field
00.5×1.5×
Kyeong Yun Kim · 1×
Citations per year

Countries citing papers authored by Donghwi Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Donghwi Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghwi Hwang

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 9
3 29
4 13
5 18
6
A solution for scatter estimation problem in simultaneous reconstruction, and its impact on deep learning based attenuation correction
1
7 6
8 27
9 88
10 102
11 166
12 123
13 5

About Donghwi Hwang

Donghwi Hwang is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering, having authored 13 papers that have together received 588 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced X-ray and CT Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (484 citations), Radiation (156 citations) and Computer Vision and Pattern Recognition (110 citations). Donghwi Hwang has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Jae Sung Lee, Seung Kwan Kang, Kyeong Yun Kim, Seongho Seo, Dong Soo Lee, Jin Chul Paeng, Yu Kyeong Kim, Junyoung Park, Min Sun Lee and Joong Hyun Kim. Their work appears in journals such as Scientific Reports, Physics in Medicine and Biology and Journal of Nuclear Medicine.

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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