Done‐Sik Yoo

402 citations
21 papers · 317 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Bone health and osteoporosis research (4 papers)Advanced Neuroimaging Techniques and Applications (3 papers)

In The Last Decade

Done‐Sik Yoo

20 papers receiving 305 citations

Peers

Done‐Sik Yoo
Comparison fields: 5 of 77
  • Cognitive Neuroscience 131
  • Biomedical Engineering 69
  • Cellular and Molecular Neuroscience 63
  • Radiology, Nuclear Medicine and Imaging 63
  • Social Psychology 47
Replace Nadège Corbin with:
Nadège Corbin France
Jörn M. Horschig Netherlands
Petra Rupert United States
Rajeev Yadav Canada
Francisco Sepúlveda United Kingdom
Kalle Kotilahti Finland
А. И. Федотчев Russia
Vanesa Soto-León Spain
Valentinos Zachariou United States
Akihide Kinoshita Japan
Done‐Sik Yoo relative to Nadège Corbin France Nadège Corbin's profile →
Citations per field
00.5×7.3×
Nadège Corbin · 1×
Citations per year

Countries citing papers authored by Done‐Sik Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Done‐Sik Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Done‐Sik Yoo. 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 Done‐Sik Yoo. The network helps show where Done‐Sik Yoo may publish in the future.

Co-authorship network of co-authors of Done‐Sik Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Done‐Sik Yoo. A scholar is included among the top collaborators of Done‐Sik Yoo 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 Done‐Sik Yoo. Done‐Sik Yoo 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 3
2 1
3 47
4 51
5 14
6 36
7 35
8 13
9 7
10 1
11 13
12 4
13 5
14 5
15 1
16 4
17 9
18 42
19 20
20 5

About Done‐Sik Yoo

Done‐Sik Yoo is a scholar working on Computational Mathematics, Orthopedics and Sports Medicine and Sensory Systems, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Bone health and osteoporosis research (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (131 citations), Biophysics (28 citations) and Cellular and Molecular Neuroscience (63 citations). Done‐Sik Yoo has collaborated with scholars based in South Korea and United Kingdom. Frequent co-authors include Yongmin Chang, Huijin Song, Hui Joong Lee, Yang‐Tae Kim, Sooyeul Lee, Jeehye Seo, Seunghwan Kim, Jeong Won Lee, Jongmin Lee and Jongmin Lee. Their work appears in journals such as Behavioural Brain Research, NMR in Biomedicine and NeuroToxicology.

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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