Sung Soo Ahn

6.4k citations
173 papers · 4.1k indexed · h-index 35
Topics
Glioma Diagnosis and Treatment (75 papers)Radiomics and Machine Learning in Medical Imaging (75 papers)MRI in cancer diagnosis (36 papers)

In The Last Decade

Sung Soo Ahn

159 papers receiving 4.0k citations

Peers

Sung Soo Ahn
Comparison fields: 5 of 126
  • Radiology, Nuclear Medicine and Imaging 2.3k
  • Genetics 1.5k
  • Pulmonary and Respiratory Medicine 934
  • Epidemiology 742
  • Neurology 625
Replace Ho Sung Kim with:
Ho Sung Kim South Korea
Sotirios Bisdas Germany
Wenya Linda Bi United States
Philipp Kickingereder Germany
Rajan Jain United States
Daniel P. Barboriak United States
Roland Hustinx Belgium
Martin Köcher Germany
David Bonekamp Germany
Ian F. Dunn United States
Sung Soo Ahn relative to Ho Sung Kim South Korea Ho Sung Kim's profile →
Citations per field
00.5×1.5×
Ho Sung Kim · 1×
Citations per year

Countries citing papers authored by Sung Soo Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sung Soo Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Soo Ahn. 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 Sung Soo Ahn. The network helps show where Sung Soo Ahn may publish in the future.

Co-authorship network of co-authors of Sung Soo Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Soo Ahn. A scholar is included among the top collaborators of Sung Soo Ahn 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 Sung Soo Ahn. Sung Soo Ahn 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 0
4 0
5 1
6 2
7 1
8 11
9 8
10 18
11 0
12 7
13 9
14 27
15 12
16 9
17
Development of Location/Safety Tracking System for Construction Site Workers by Using MEMS Sensors
1
18
Development of RFID terminal for the Blind to Voice Guide Pharmaceutical E-pedigree
0
19
Feedback Interference Cancellation System of RF Relay Utilizing the LMS Algorithm
1
20
An Adaptive Beam-forming Algorithm for Smart Antenna System in Practical CDMA Environments
2

About Sung Soo Ahn

Sung Soo Ahn is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 173 papers that have together received 4.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (75 papers), Radiomics and Machine Learning in Medical Imaging (75 papers) and MRI in cancer diagnosis (36 papers). The work is most often cited by research in Genetics (1.5k citations), Radiology, Nuclear Medicine and Imaging (2.3k citations) and Health Informatics (103 citations). Sung Soo Ahn has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Seung‐Koo Lee, Se Hoon Kim, Jong Hee Chang, Yae Won Park, Seok‐Gu Kang, Yoon Seong Choi, Kyunghwa Han, Eui Hyun Kim, Sohi Bae and Myeong‐Jin Kim. Their work appears in journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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