Hua Hu

5.2k citations
65 papers · 2.5k indexed · 2 hit papers · h-index 21
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Intracerebral and Subarachnoid Hemorrhage Research (3 papers)Metabolism, Diabetes, and Cancer (3 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Hua Hu

57 papers receiving 2.4k citations

Hit Papers

Analysis of the Effects of Marangoni Stresses on the Micr...200520262012201920052005200400600

Peers

Hua Hu
Comparison fields: 5 of 149
  • Electrical and Electronic Engineering 1.2k
  • Computational Mechanics 674
  • Biomedical Engineering 586
  • Surfaces, Coatings and Films 205
  • Molecular Biology 197
Replace David A. Barrow with:
David A. Barrow United Kingdom
Jeonghee Lee South Korea
Ting Feng China
Jung Hwan Park South Korea
Nicholas J. Kenyon United States
Masaharu Yamamoto Japan
Limin Cao China
Ichiro Yoshida Japan
Wei Zhou China
Yan Liu China
Hua Hu relative to David A. Barrow United Kingdom David A. Barrow's profile →
Citations per field
00.5×8.3×
David A. Barrow · 1×
Citations per year

Countries citing papers authored by Hua Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Hu. A scholar is included among the top collaborators of Hua 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 Hua Hu. Hua Hu 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 0
3 0
4 33
5 69
6 0
7 45
8 0
9 11
10 2
11 14
12 30
13 9
14 6
15 16
16 10
17 100
18 7
19 13
20
Olanzapine and haloperidol for senile delirium: A randomized controlled observation
29

About Hua Hu

Hua Hu is a scholar working on Endocrinology, Diabetes and Metabolism, Surfaces, Coatings and Films and Nephrology, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Computational Mechanics (674 citations), Surfaces, Coatings and Films (205 citations) and Electrical and Electronic Engineering (1.2k citations). Hua Hu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ronald G. Larson, Meian He, Xiaomin Zhang, Huan Guo, Xu Han, Handong Yang, Yaru Li, Jing Yuan, Yi Zhuang and Xiaoping Miao. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Journal of The Electrochemical Society.

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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