Shiyun Hu

512 citations
8 papers · 288 indexed · 1 hit paper · h-index 4
Topics
Artificial Intelligence in Healthcare (1 paper)Obesity, Physical Activity, Diet (1 paper)Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper)
Partner nations
China

In The Last Decade

Shiyun Hu

6 papers receiving 277 citations

Hit Papers

Study of cardiovascular disease prediction model based on...2020202620222024202050100150200

Peers

Shiyun Hu
Comparison fields: 5 of 98
  • Health Information Management 70
  • Cardiology and Cardiovascular Medicine 57
  • Artificial Intelligence 53
  • Radiology, Nuclear Medicine and Imaging 37
  • Epidemiology 37
Replace Maren E. Shipe with:
Maren E. Shipe United States
Mary E. Ritchey United States
Ajit Londhe United States
Hsiu-An Lee Taiwan
Soo Yeon Cho South Korea
David Pérez-Rey Spain
Erdal Coşgun Türkiye
Sujay Kakarmath United States
Anna Ostropolets United States
Lewis E. Berman United States
Shiyun Hu relative to Maren E. Shipe United States Maren E. Shipe's profile →
Citations per field
00.5×
Maren E. Shipe · 1×
Citations per year

Countries citing papers authored by Shiyun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shiyun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiyun Hu. 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 Shiyun Hu. The network helps show where Shiyun Hu may publish in the future.

Co-authorship network of co-authors of Shiyun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyun Hu. A scholar is included among the top collaborators of Shiyun Hu 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 Shiyun Hu. Shiyun Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 2
2 0
3
Study of cardiovascular disease prediction model based on random forest in eastern Chinabreakdown →
232
4 0
5 21
6 26
7 6
8
Effect of Tianma Gouteng Decoction on Myocardial Fibrosis in Renovascular Hypertensive Rats
1

About Shiyun Hu

Shiyun Hu is a scholar working on Biological Psychiatry, Health Information Management and Nephrology, having authored 8 papers that have together received 288 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (1 paper), Obesity, Physical Activity, Diet (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Health Information Management (70 citations), Medical Laboratory Technology (7 citations) and Health Informatics (6 citations). Shiyun Hu has collaborated with scholars based in China. Frequent co-authors include Wei Yu, Xiaoling Xu, Jing Yan, Haibin Wu, Yang Li, Pinpin Zheng, Xiaoqing Jin, Xu Qian, Jianmei Wu and Hui Tan. Their work appears in journals such as Scientific Reports, Journal of Affective Disorders and BMC Public Health.

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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