Bokai Yan

25 total papers · 517 total citations
16 papers, 349 citations indexed

About

Bokai Yan is a scholar working on Applied Mathematics, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Bokai Yan has authored 16 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Applied Mathematics, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computational Mechanics. Recurrent topics in Bokai Yan's work include Gas Dynamics and Kinetic Theory (12 papers), Computational Fluid Dynamics and Aerodynamics (5 papers) and Lattice Boltzmann Simulation Studies (3 papers). Bokai Yan is often cited by papers focused on Gas Dynamics and Kinetic Theory (12 papers), Computational Fluid Dynamics and Aerodynamics (5 papers) and Lattice Boltzmann Simulation Studies (3 papers). Bokai Yan collaborates with scholars based in United States, China and France. Bokai Yan's co-authors include Zvi Bern, Joel Rozowsky, Shi Jin, Thierry Goudon, José A. Carrillo, Russel E. Caflisch, Lorenzo Pareschi, Giacomo Dimarco, Qin Li and Jingwei Hu and has published in prestigious journals such as Journal of Computational Physics, Physics Letters B and SIAM Journal on Scientific Computing.

In The Last Decade

Bokai Yan

16 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Bokai Yan 194 111 85 69 51 16 349
J. A. McLennan 29 0.1× 79 0.7× 57 0.7× 163 2.4× 31 0.6× 11 348
E. Sonnendrücker 123 0.6× 186 1.7× 204 2.4× 22 0.3× 45 0.9× 7 350
Zihuan Dai 81 0.4× 80 0.7× 194 2.3× 9 0.1× 15 0.3× 22 296
Stephen R. Lau 221 1.1× 17 0.2× 40 0.5× 117 1.7× 277 5.4× 24 365
Fabrice Deluzet 109 0.6× 157 1.4× 200 2.4× 9 0.1× 49 1.0× 30 344
Alireza Behtash 262 1.4× 54 0.5× 58 0.7× 75 1.1× 124 2.4× 13 347
Daniel Spirn 29 0.1× 137 1.2× 104 1.2× 105 1.5× 12 0.2× 33 368
Ron Perline 39 0.2× 54 0.5× 27 0.3× 252 3.7× 36 0.7× 15 319
M. A. Muschietti 128 0.7× 63 0.6× 120 1.4× 50 0.7× 25 0.5× 18 396
Hao Shen 31 0.2× 40 0.4× 67 0.8× 25 0.4× 26 0.5× 28 346

Countries citing papers authored by Bokai Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bokai Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bokai Yan

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