Hackjoon Shim

713 citations
52 papers · 553 · h-index 13

Impact in

    • Cardiac Imaging and Diagnostics
    • Radiation Dose and Imaging
    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms

Papers in

Hackjoon Shim

46 papers receiving 543 citations

Peers

Hackjoon Shim
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 217
  • Rheumatology 99
  • Computer Vision and Pattern Recognition 147
  • Health Informatics 5
  • Biomedical Engineering 134
Replace Hiroyuki Sugimori with:
Hiroyuki Sugimori Japan
Gengyan Zhao United States
Kevin Leung United States
Ruida Cheng United States
Felix Ambellan Germany
Javier Oliván Bescós Netherlands
Xiaomei Zhu China
Jiahong Ouyang United States
Manasi Datar United States
Yisong Lv China
Hackjoon Shim relative to Hiroyuki Sugimori Japan Hiroyuki Sugimori's profile →
Citations per field
00.5×2.8×
Hiroyuki Sugimori · 1×
Citations per year

Countries citing papers authored by Hackjoon Shim

Since Specialization
Citations

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

Fields of papers citing papers by Hackjoon Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hackjoon Shim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hackjoon Shim Line = papers co-authored together Hackjoon Shim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 201259
3 201340
4 200938
5 201131
6 200625
7 201825
8 202224
9 200921
10 200517
11 202114
12 201413
13 202313
14 201111
15 202111
16 200611
17 201410
18 20239
19 20228
20 20168

About Hackjoon Shim

Hackjoon Shim is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Pulmonary and Respiratory Medicine and Rheumatology, having authored 52 papers that have together received 553 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Cardiac Imaging and Diagnostics (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Advanced X-ray and CT Imaging (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers), Medical Imaging and Analysis (5 papers) and Radiation Dose and Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Rheumatology (99 citations), Computer Vision and Pattern Recognition (147 citations), Health Informatics (5 citations) and Biomedical Engineering (134 citations). Hackjoon Shim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Il Dong Yun, Cheng Tao, C. Kent Kwoh, Hyuk‐Jae Chang, Kyongtae T. Bae, Samuel Chang, Yeonggul Jang, Sang Uk Lee, Youngtaek Hong and Eun‐Ah Park. Their work appears in journals such as IEEE Access, Radiology, Journal of Computer Assisted Tomography, Computer Methods and Programs in Biomedicine and Materials Research Innovations.

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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