Yue Bai

60 total papers · 1.2k total citations
33 papers, 961 citations indexed

About

Yue Bai is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Yue Bai has authored 33 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 9 papers in Atomic and Molecular Physics, and Optics and 6 papers in Materials Chemistry. Recurrent topics in Yue Bai's work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). Yue Bai is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). Yue Bai collaborates with scholars based in China, United States and Singapore. Yue Bai's co-authors include T. W. Mossberg, He Qian, Huaqiang Wu, M. D. Fayer, Zhiping Yu, A. Elschner, Karl A. Littau, Dee William Pack, L. R. Narasimhan and A. G. Yodh and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and Nano Letters.

In The Last Decade

Yue Bai

28 papers receiving 929 citations

Hit Papers

Spintronics for Energy- E... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yue Bai 487 480 182 121 103 33 961
Ignacio Franco 730 1.5× 532 1.1× 213 1.2× 47 0.4× 70 0.7× 62 1.1k
Liping Chen 648 1.3× 311 0.6× 160 0.9× 84 0.7× 150 1.5× 45 1.2k
Alexander Schubert 368 0.8× 207 0.4× 173 1.0× 73 0.6× 191 1.9× 47 913
Alán Aspuru-Guzik 756 1.6× 267 0.6× 216 1.2× 177 1.5× 166 1.6× 24 1.2k
Priya V. Parandekar 623 1.3× 184 0.4× 210 1.2× 33 0.3× 195 1.9× 16 882
Josiah A. Bjorgaard 424 0.9× 321 0.7× 341 1.9× 65 0.5× 271 2.6× 26 1000
Dmitry V. Makhov 655 1.3× 235 0.5× 137 0.8× 63 0.5× 217 2.1× 32 882
D. Schmid 490 1.0× 217 0.5× 373 2.0× 145 1.2× 174 1.7× 61 855
E. V. Tsiper 365 0.7× 522 1.1× 310 1.7× 100 0.8× 174 1.7× 20 962
Hui‐Chun Huang 296 0.6× 514 1.1× 204 1.1× 115 1.0× 29 0.3× 39 1.1k

Countries citing papers authored by Yue Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yue Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Bai

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