Jae Ho Sohn

4.0k citations
64 papers · 2.1k indexed · 2 hit papers · h-index 24
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)Hepatocellular Carcinoma Treatment and Prognosis (10 papers)Odor and Emission Control Technologies (9 papers)

In The Last Decade

Jae Ho Sohn

63 papers receiving 2.0k citations

Hit Papers

Development and Validation of Deep Learning–based Automat...201820262020202320182018100200300

Peers

Jae Ho Sohn
Comparison fields: 5 of 167
  • Radiology, Nuclear Medicine and Imaging 832
  • Biomedical Engineering 448
  • Pulmonary and Respiratory Medicine 327
  • Artificial Intelligence 311
  • Health Informatics 262
Replace Yukihiro Nomura with:
Yukihiro Nomura Japan
Nicola De Luca Italy
Kyunga Kim South Korea
Wenxing Li China
Yi Shi China
Pu Wang China
Xuhong Hou China
Zhiyuan Wu China
Mohammad Mirza‐Aghazadeh‐Attari Iran
Jae Ho Sohn relative to Yukihiro Nomura Japan Yukihiro Nomura's profile →
Citations per field
00.5×3.1×
Yukihiro Nomura · 1×
Citations per year

Countries citing papers authored by Jae Ho Sohn

Since Specialization
Citations

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

Fields of papers citing papers by Jae Ho Sohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Ho Sohn. 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 Jae Ho Sohn. The network helps show where Jae Ho Sohn may publish in the future.

Co-authorship network of co-authors of Jae Ho Sohn

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Ho Sohn. A scholar is included among the top collaborators of Jae Ho Sohn 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 Jae Ho Sohn. Jae Ho Sohn 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 6
2 2
3 4
4 9
5 4
6 24
7 4
8 75
9 4
10 28
11 1
12 17
13 12
14 43
15 25
16 9
17 27
18
Assessing the medium-term impact of permeable pond covers on pond performance and odour management
1
19 13
20 89

About Jae Ho Sohn

Jae Ho Sohn is a scholar working on Health Informatics, Process Chemistry and Technology and Hepatology, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Odor and Emission Control Technologies (9 papers). The work is most often cited by research in Health Informatics (262 citations), Process Chemistry and Technology (113 citations) and Radiology, Nuclear Medicine and Imaging (832 citations). Jae Ho Sohn has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Michael Atzeni, Youngho Seo, Hari Trivedi, Ju Gang Nam, Kun Young Lim, Jin Mo Goo, Sunggyun Park, Sangheum Hwang, Jong Hyuk Lee and Chang Min Park. Their work appears in journals such as Scientific Reports, Radiology and International Journal of Molecular Sciences.

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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