Hua Yu

30 total papers · 863 total citations
24 papers, 745 citations indexed

About

Hua Yu is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Hua Yu has authored 24 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 7 papers in Molecular Biology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Hua Yu's work include Advanced biosensing and bioanalysis techniques (7 papers), Advanced Nanomaterials in Catalysis (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). Hua Yu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), Advanced Nanomaterials in Catalysis (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). Hua Yu collaborates with scholars based in China, United States and Canada. Hua Yu's co-authors include David W. Grainger, Jing Han, Sanping Chen, Gang Xie, Kun Liu, Shaoyong Lu, Zilu Li, Min Li, Huimin Gao and Zhen Wang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of The Electrochemical Society and Macromolecules.

In The Last Decade

Hua Yu

22 papers receiving 730 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua Yu 265 206 181 172 132 24 745
Zhong‐Peng Lv 478 1.8× 89 0.4× 221 1.2× 257 1.5× 40 0.3× 35 856
Yecang Tang 416 1.6× 97 0.5× 177 1.0× 294 1.7× 80 0.6× 22 798
Viktória Torma 416 1.6× 51 0.2× 122 0.7× 105 0.6× 88 0.7× 20 687
Leonardo D. Bonifacio 268 1.0× 85 0.4× 232 1.3× 329 1.9× 34 0.3× 13 783
Yuriy Zakrevskyy 356 1.3× 89 0.4× 75 0.4× 87 0.5× 63 0.5× 20 692
Xilang Jin 223 0.8× 67 0.3× 334 1.8× 169 1.0× 53 0.4× 31 683
M. Lorena Cortez 143 0.5× 168 0.8× 385 2.1× 359 2.1× 39 0.3× 37 826
Florica Adriana Jerca 413 1.6× 67 0.3× 243 1.3× 55 0.3× 138 1.0× 25 901
Wenlian Qiu 194 0.7× 125 0.6× 229 1.3× 57 0.3× 35 0.3× 22 718
Ying Shen 260 1.0× 67 0.3× 236 1.3× 89 0.5× 25 0.2× 33 653

Countries citing papers authored by Hua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yu

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

All Works

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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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