Tsung‐Ying Ho

1.1k citations
24 papers · 592 indexed · h-index 12
Topics
Radiomics and Machine Learning in Medical Imaging (5 papers)Head and Neck Cancer Studies (5 papers)Thyroid Cancer Diagnosis and Treatment (5 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Tsung‐Ying Ho

23 papers receiving 584 citations

Peers

Tsung‐Ying Ho
Comparison fields: 5 of 85
  • Radiology, Nuclear Medicine and Imaging 303
  • Surgery 161
  • Biomedical Engineering 137
  • Health Informatics 110
  • Pulmonary and Respiratory Medicine 63
Replace Nitamar Abdala with:
Nitamar Abdala Brazil
Huishu Yuan China
Yangsean Choi South Korea
Guangyao Wu Netherlands
Laurent Létourneau‐Guillon Canada
Min Kyoung Lee South Korea
Houman Sotoudeh United States
Takuro Horikoshi Japan
Josephine Chen United States
Tsung‐Ying Ho relative to Nitamar Abdala Brazil Nitamar Abdala's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tsung‐Ying Ho

Since Specialization
Citations

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

Fields of papers citing papers by Tsung‐Ying Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung‐Ying Ho. 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 Tsung‐Ying Ho. The network helps show where Tsung‐Ying Ho may publish in the future.

Co-authorship network of co-authors of Tsung‐Ying Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Ying Ho. A scholar is included among the top collaborators of Tsung‐Ying Ho 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 Tsung‐Ying Ho. Tsung‐Ying Ho 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 2
3 44
4 7
5 22
6 2
7 14
8 33
9 30
10 46
11 4
12 8
13 224
14 7
15 4
16
A preliminary investigation into textural features of intratumoral metabolic heterogeneity in (18)F-FDG PET for overall survival prognosis in patients with bulky cervical cancer treated with definitive concurrent chemoradiotherapy.
36
17 10
18 12
19 13
20 40

About Tsung‐Ying Ho

Tsung‐Ying Ho is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 592 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Head and Neck Cancer Studies (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (110 citations), Radiology, Nuclear Medicine and Imaging (303 citations) and Otorhinolaryngology (51 citations). Tsung‐Ying Ho has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chi‐Tung Cheng, Chien‐Hung Liao, I‐Fang Chung, C. C. Chang, Chih-Chi Chen, Kun‐Ju Lin, Dakai Jin, Dazhou Guo, Le Lü and Jing Xiao. Their work appears in journals such as PLoS ONE, Medicine and Journal of Nuclear Medicine.

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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