Shiyun Hu

512 total citations · 1 hit paper
8 papers, 288 citations indexed

About

Shiyun Hu is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shiyun Hu has authored 8 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shiyun Hu's work include Artificial Intelligence in Healthcare (1 paper), Obesity, Physical Activity, Diet (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). Shiyun Hu is often cited by papers focused on Artificial Intelligence in Healthcare (1 paper), Obesity, Physical Activity, Diet (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). Shiyun Hu collaborates with scholars based in China. Shiyun Hu's co-authors include Wei Yu, Xiaoling Xu, Jing Yan, Haibin Wu, Yang Li, Pinpin Zheng, Xiaoqing Jin, Xu Qian, Jianmei Wu and Hui Tan and has published in prestigious journals such as Scientific Reports, Journal of Affective Disorders and BMC Public Health.

In The Last Decade

Shiyun Hu

6 papers receiving 277 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Study of cardiovascular disease prediction model based on random forest in eastern China

2020 232 citations Yang Li, Haibin Wu et al. Scientific Reports profile →

Peers

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

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8 of 8 papers shown

#	Work	Indexed citations
1	Association of uric acid/high-density lipoprotein cholesterol ratio (UHR) with depression risk in US adults: A cross-sectional study 2025 ·Journal of Affective Disorders ·Lin Liu, Jie‐Mei Wang, Shiyun Hu, Jianlin Shao, Fang Ding, Wei Yu	2
2	Associations between Multiple Food Consumption Frequencies and the Incidence of Cardiovascular Disease in High Cardiac Risk Subjects 2024 ·Reviews in Cardiovascular Medicine ·(unknown), Shiyun Hu, Sj Shen, Fang Ding, (unknown), Xiao Shen, Tianxu Chen, Xiaoling Xu, Jing Yan, (unknown), Qiang Cai, Wei Yu	0
3	Study of cardiovascular disease prediction model based on random forest in eastern China breakdown → 2020 ·Scientific Reports ·Yang Li, Haibin Wu, Xiaoqing Jin, Pinpin Zheng, Shiyun Hu, Xiaoling Xu, Wei Yu, Jing Yan	232
4	Risk factors for persistent post-surgical pain after tibia fracture: a longitudinal study 2018 ·Yaping Chang, Jason W. Busse, Mohit Bhandari, (unknown), Li Wang, Diane Heels‐Ansdell, Qi Zhou, Lehana Thabane, Mei Wang, (unknown), Brad Petrisor, Lin Jin, Sean A. Kennedy, Sheila Sprague, Paula McKay, Nicole Simunovic, Shiyun Hu, Yuan Zhang, Ying Zhang, Gordon Guyatt	0
5	Effects of preconception counseling on maternal health care of migrant women in China: a community-based, cross-sectional survey 2015 ·BMC Pregnancy and Childbirth ·Xiaofang You, Hui Tan, Shiyun Hu, Jianmei Wu, Hong Jiang, (unknown), Yue Dai, Ling Wang, Sufang Guo, Xu Qian	21
6	Disparity of anemia prevalence and associated factors among rural to urban migrant and the local children under two years old: a population based cross-sectional study in Pinghu, China 2014 ·BMC Public Health ·Shiyun Hu, Hui Tan, (unknown), Hong Jiang, Jianmei Wu, Sufang Guo, Xu Qian	26
7	[Relationship between CD4+CD25+Treg cells, Th17 cells and IL-6 and the prognosis of hepatitis B virus-related acute-on-chronic liver failure: a meta-analysis]. 2014 ·PubMed ·(unknown), (unknown), Shiyun Hu, (unknown), (unknown), (unknown), Lin Xu, Zheng Xiao, (unknown)	6
8	Effect of Tianma Gouteng Decoction on Myocardial Fibrosis in Renovascular Hypertensive Rats 2006 ·Traditional Chinese Drug Research and Clinical Pharmacology ·Shiyun Hu	1

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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