Manyi Yang

33 total papers · 741 total citations
14 papers, 418 citations indexed

About

Manyi Yang is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Manyi Yang has authored 14 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Manyi Yang's work include Machine Learning in Materials Science (8 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Computational Drug Discovery Methods (3 papers). Manyi Yang is often cited by papers focused on Machine Learning in Materials Science (8 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Computational Drug Discovery Methods (3 papers). Manyi Yang collaborates with scholars based in China, Italy and United States. Manyi Yang's co-authors include Michele Parrinello, Daniela Polino, Luigi Bonati, Umberto Raucci, Guoqiang Wang, Shuhua Li, Jingxiang Zou, Tarak Karmakar, Erguang Li and Wei Zhang and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and ACS Catalysis.

In The Last Decade

Manyi Yang

12 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Manyi Yang	237	85	68	67	62	14	418
Kehang Han	230 1.0×	72 0.8×	98 1.4×	40 0.6×	75 1.2×	10	404
Yosuke Sumiya	157 0.7×	71 0.8×	41 0.6×	72 1.1×	70 1.1×	13	408
Vilhjálmur Ásgeirsson	175 0.7×	77 0.9×	32 0.5×	140 2.1×	54 0.9×	9	475
Emily Mazeau	231 1.0×	41 0.5×	128 1.9×	58 0.9×	54 0.9×	8	420
Surajit Nandi	264 1.1×	45 0.5×	74 1.1×	46 0.7×	32 0.5×	22	470
Matthew S. Johnson	216 0.9×	32 0.4×	98 1.4×	79 1.2×	74 1.2×	19	474
Efthymios I. Ioannidis	283 1.2×	75 0.9×	53 0.8×	92 1.4×	102 1.6×	7	400
Jinxiao Zhang	271 1.1×	85 1.0×	27 0.4×	76 1.1×	93 1.5×	30	465
P. Hugo	224 0.9×	55 0.6×	99 1.5×	45 0.7×	18 0.3×	26	448
Katrín Blöndal	261 1.1×	27 0.3×	143 2.1×	70 1.0×	54 0.9×	10	451

Countries citing papers authored by Manyi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Manyi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manyi Yang

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