Da-yin Hua

32 total papers · 656 total citations
29 papers, 573 citations indexed

About

Da-yin Hua is a scholar working on Materials Chemistry, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Da-yin Hua has authored 29 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 9 papers in Condensed Matter Physics and 5 papers in Computer Networks and Communications. Recurrent topics in Da-yin Hua's work include Theoretical and Computational Physics (8 papers), Catalytic Processes in Materials Science (7 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). Da-yin Hua is often cited by papers focused on Theoretical and Computational Physics (8 papers), Catalytic Processes in Materials Science (7 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). Da-yin Hua collaborates with scholars based in China. Da-yin Hua's co-authors include Shenghu Zhou, Chao Lin, Kai Tao, Zhen Ma, Shihao Wei, Yan-Ling Hu, Weiping Li, Yuejin Zhu, Yu‐qiang Ma and Xiangdong Wang and has published in prestigious journals such as Journal of Applied Physics, The Journal of Physical Chemistry C and Chemical Physics Letters.

In The Last Decade

Da-yin Hua

29 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Da-yin Hua 324 150 140 133 123 29 573
Christophe Calers 334 1.0× 104 0.7× 128 0.9× 39 0.3× 136 1.1× 26 538
Jin Lin 189 0.6× 166 1.1× 97 0.7× 151 1.1× 61 0.5× 25 514
Yaroslav Odarchenko 332 1.0× 91 0.6× 99 0.7× 41 0.3× 75 0.6× 36 600
Masanori NAKANE 385 1.2× 70 0.5× 94 0.7× 31 0.2× 127 1.0× 32 616
Vadim Migunov 250 0.8× 88 0.6× 57 0.4× 87 0.7× 112 0.9× 30 525
Tadahiro Kawasaki 331 1.0× 174 1.2× 69 0.5× 143 1.1× 56 0.5× 36 656
F. Vigneron 355 1.1× 33 0.2× 160 1.1× 102 0.8× 118 1.0× 23 563
Andrew M. Collins 306 0.9× 69 0.5× 26 0.2× 106 0.8× 135 1.1× 21 605
Glenn Pollefeyt 403 1.2× 33 0.2× 151 1.1× 131 1.0× 49 0.4× 22 559
Min Zhu 295 0.9× 29 0.2× 77 0.6× 77 0.6× 80 0.7× 26 551

Countries citing papers authored by Da-yin Hua

Since Specialization
Citations

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

Fields of papers citing papers by Da-yin Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da-yin Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Da-yin Hua. A scholar is included among the top collaborators of Da-yin Hua 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 Da-yin Hua. Da-yin Hua 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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