Yingxuan Wu

57 total papers · 2.4k total citations
31 papers, 2.0k citations indexed

About

Yingxuan Wu is a scholar working on Atomic and Molecular Physics, and Optics, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Yingxuan Wu has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 11 papers in Organic Chemistry and 9 papers in Materials Chemistry. Recurrent topics in Yingxuan Wu's work include Advanced Chemical Physics Studies (17 papers), Chemical Thermodynamics and Molecular Structure (5 papers) and Molecular Spectroscopy and Structure (5 papers). Yingxuan Wu is often cited by papers focused on Advanced Chemical Physics Studies (17 papers), Chemical Thermodynamics and Molecular Structure (5 papers) and Molecular Spectroscopy and Structure (5 papers). Yingxuan Wu collaborates with scholars based in United States, Germany and Spain. Yingxuan Wu's co-authors include John F. Stanton, Jürgen Gauß, Péter G. Szalay, Mihály Kállay, Attila G. Császár, Michael E. Harding, Attila Tajti, B. A. Flowers, Edward F. Valeev and Branko Ruščić and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Yingxuan Wu

30 papers receiving 2.0k citations

Hit Papers

HEAT: High accuracy extra... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Yingxuan Wu 1.5k 684 564 525 472 31 2.0k
Ewa Papajak 1.1k 0.7× 484 0.7× 538 1.0× 558 1.1× 425 0.9× 19 2.0k
Russell D. Johnson 1.2k 0.8× 693 1.0× 411 0.7× 451 0.9× 448 0.9× 68 2.1k
Douglas J. Fox 1.6k 1.1× 497 0.7× 556 1.0× 345 0.7× 494 1.0× 23 2.3k
Gustavo E. Davico 926 0.6× 433 0.6× 600 1.1× 309 0.6× 342 0.7× 33 1.6k
Benjamin C. Shepler 1.6k 1.1× 699 1.0× 257 0.5× 631 1.2× 432 0.9× 30 2.5k
Michael E. Harding 1.5k 1.0× 976 1.4× 372 0.7× 532 1.0× 485 1.0× 63 2.4k
S. Wei 1.4k 0.9× 672 1.0× 321 0.6× 263 0.5× 614 1.3× 44 2.1k
Gillian C. Lynch 2.3k 1.5× 886 1.3× 369 0.7× 1.0k 2.0× 327 0.7× 49 3.1k
Walter J. Chesnavich 1.8k 1.2× 1.4k 2.1× 356 0.6× 727 1.4× 308 0.7× 28 2.7k
Rollie J. Myers 1.1k 0.7× 1.1k 1.6× 397 0.7× 407 0.8× 290 0.6× 50 2.1k

Countries citing papers authored by Yingxuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingxuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxuan Wu

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