Bo Yun Hur

1.4k citations
41 papers · 1.0k indexed · h-index 20
Topics
Radiomics and Machine Learning in Medical Imaging (14 papers)Hepatocellular Carcinoma Treatment and Prognosis (12 papers)Colorectal Cancer Surgical Treatments (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Bo Yun Hur

40 papers receiving 1.0k citations

Peers

Bo Yun Hur
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 591
  • Oncology 422
  • Surgery 330
  • Hepatology 276
  • Epidemiology 188
Replace Janio Szklaruk with:
Janio Szklaruk United States
Yedaun Lee South Korea
Katsuhiko Mitsuzaki Japan
Lei Tang China
Marco Calandri Italy
Erica Scurr United Kingdom
Bernhard Klumpp Germany
Taiji Nishiharu Japan
Stephanie K. Schaub United States
Rajesh P. Shah United States
Bo Yun Hur relative to Janio Szklaruk United States Janio Szklaruk's profile →
Citations per field
00.5×3.1×
Janio Szklaruk · 1×
Citations per year

Countries citing papers authored by Bo Yun Hur

Since Specialization
Citations

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

Fields of papers citing papers by Bo Yun Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo Yun Hur. 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 Bo Yun Hur. The network helps show where Bo Yun Hur may publish in the future.

Co-authorship network of co-authors of Bo Yun Hur

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Yun Hur. A scholar is included among the top collaborators of Bo Yun Hur 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 Bo Yun Hur. Bo Yun Hur 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
#WorkIndexed citations
1 0
2 1
3 11
4 3
5 23
6 65
7 7
8 6
9
Multi-Task Learning with a Fully Convolutional Network for Rectum and Rectal Cancer Segmentation.
1
10 57
11 37
12 17
13 45
14 9
15 2
16 53
17 41
18 24
19 11
20 81

About Bo Yun Hur

Bo Yun Hur is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers) and Colorectal Cancer Surgical Treatments (11 papers). The work is most often cited by research in Hepatology (276 citations), Radiology, Nuclear Medicine and Imaging (591 citations) and Oncology (422 citations). Bo Yun Hur has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Joon Koo Han, Jeong Min Lee, Ijin Joo, Dong Ho Lee, Byung Ihn Choi, Jeong Hee Yoon, Kyung‐Suk Suh, Hyo‐Jin Kang, Nam‐Joon Yi and Mi Hye Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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