Chenyu Hu

39 total papers · 496 total citations
27 papers, 362 citations indexed

About

Chenyu Hu is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Chenyu Hu has authored 27 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Atomic and Molecular Physics, and Optics and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Chenyu Hu's work include Magnetic properties of thin films (11 papers), Advanced Memory and Neural Computing (7 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Chenyu Hu is often cited by papers focused on Magnetic properties of thin films (11 papers), Advanced Memory and Neural Computing (7 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Chenyu Hu collaborates with scholars based in China, Taiwan and Hong Kong. Chenyu Hu's co-authors include Jing Wang, Yi Xia, Chi‐Feng Pai, Bo Zhang, Lei Xu, Shenghui Guo, Libo Zhang, Mingjun Wang, Jinhui Peng and Sridhar Komarneni and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Chenyu Hu

24 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Chenyu Hu 238 156 120 95 77 27 362
Yuyuan Qin 138 0.6× 222 1.4× 169 1.4× 110 1.2× 62 0.8× 19 369
Brian D. Sosnowchik 216 0.9× 227 1.5× 72 0.6× 158 1.7× 44 0.6× 21 384
Deepu Kumar 246 1.0× 242 1.6× 42 0.3× 115 1.2× 83 1.1× 28 400
Nipun Sharma 139 0.6× 94 0.6× 50 0.4× 107 1.1× 58 0.8× 29 322
Ala Cojocaru 243 1.0× 274 1.8× 55 0.5× 141 1.5× 71 0.9× 36 395
Richard J. Cobley 213 0.9× 211 1.4× 102 0.8× 77 0.8× 51 0.7× 37 349
Manohar Kumar 238 1.0× 191 1.2× 213 1.8× 91 1.0× 37 0.5× 26 399
Anna Starczewska 153 0.6× 148 0.9× 64 0.5× 119 1.3× 51 0.7× 33 304
Hongjae Moon 146 0.6× 152 1.0× 49 0.4× 73 0.8× 73 0.9× 17 296
S. C. Hung 258 1.1× 234 1.5× 48 0.4× 130 1.4× 58 0.8× 29 391

Countries citing papers authored by Chenyu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyu Hu. A scholar is included among the top collaborators of Chenyu 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 Chenyu Hu. Chenyu 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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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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