Yahua Yuan

82 total papers · 945 total citations
51 papers, 650 citations indexed

About

Yahua Yuan is a scholar working on Materials Chemistry, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Yahua Yuan has authored 51 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 21 papers in Condensed Matter Physics and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Yahua Yuan's work include 2D Materials and Applications (15 papers), Advanced Memory and Neural Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Yahua Yuan is often cited by papers focused on 2D Materials and Applications (15 papers), Advanced Memory and Neural Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Yahua Yuan collaborates with scholars based in China, Japan and United States. Yahua Yuan's co-authors include Jian Sun, Xiaochi Liu, Kazunari Yamaura, Yoshitaka Matsushita, Yoshihiro Tsujimoto, Hai L. Feng, Masahiko Tanaka, M. Arai, CI Sathish and Yanfeng Guo and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Yahua Yuan

45 papers receiving 634 citations

Author Peers

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

Author						Papers	Cites
Yahua Yuan	300	298	254	236	51	51	650
R. Masini	273 0.9×	366 1.2×	340 1.3×	94 0.4×	54 1.1×	64	693
Fan Zhang	184 0.6×	300 1.0×	399 1.6×	174 0.7×	171 3.4×	48	591
Bo Wha Lee	423 1.4×	399 1.3×	123 0.5×	197 0.8×	48 0.9×	67	710
J. Kurian	224 0.7×	280 0.9×	275 1.1×	425 1.8×	40 0.8×	58	716
Yang Yang	264 0.9×	388 1.3×	224 0.9×	158 0.7×	99 1.9×	53	701
Georges Pavlidis	96 0.3×	299 1.0×	232 0.9×	327 1.4×	72 1.4×	37	576
Christoph Meinecke	285 0.9×	525 1.8×	82 0.3×	237 1.0×	43 0.8×	41	703
Duming Wang	423 1.4×	139 0.5×	329 1.3×	79 0.3×	24 0.5×	32	751
Tohru Higuchi	391 1.3×	600 2.0×	102 0.4×	243 1.0×	61 1.2×	67	766
Pinku Roy	255 0.8×	497 1.7×	76 0.3×	364 1.5×	27 0.5×	34	669

Countries citing papers authored by Yahua Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Yahua Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yahua Yuan

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