Yihua Bai

46 total papers · 447 total citations
24 papers, 341 citations indexed

About

Yihua Bai is a scholar working on Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Yihua Bai has authored 24 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Yihua Bai's work include Transcranial Magnetic Stimulation Studies (6 papers), Matrix Theory and Algorithms (5 papers) and Diamond and Carbon-based Materials Research (4 papers). Yihua Bai is often cited by papers focused on Transcranial Magnetic Stimulation Studies (6 papers), Matrix Theory and Algorithms (5 papers) and Diamond and Carbon-based Materials Research (4 papers). Yihua Bai collaborates with scholars based in United States, China and Germany. Yihua Bai's co-authors include Thomas F. George, G. P. Zhang, Georgios Lefkidis, Wolfgang Hübner, Robert C. Ward, Wolfgang Hübner, Wilfried N. Gansterer, Libo Li, Jian Liu and Ruotong Li and has published in prestigious journals such as Journal of Applied Physics, Physical Review B and Brain Research.

In The Last Decade

Yihua Bai

20 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Yihua Bai 258 103 71 70 28 24 341
Jihyun Lee 153 0.6× 142 1.4× 67 0.9× 45 0.6× 65 2.3× 23 314
Kelly Roos 186 0.7× 102 1.0× 42 0.6× 70 1.0× 53 1.9× 35 332
L. D. Marks 197 0.8× 82 0.8× 29 0.4× 91 1.3× 42 1.5× 16 400
David Carlton 202 0.8× 148 1.4× 66 0.9× 92 1.3× 70 2.5× 16 352
Shreyas Muralidhar 270 1.0× 205 2.0× 71 1.0× 38 0.5× 58 2.1× 14 362
Johannes Schwenk 200 0.8× 84 0.8× 55 0.8× 96 1.4× 28 1.0× 17 369
Maria Stamenova 272 1.1× 153 1.5× 66 0.9× 82 1.2× 60 2.1× 18 324
Yun Cheng 88 0.3× 154 1.5× 24 0.3× 28 0.4× 9 0.3× 28 335
Zhifeng Zhu 281 1.1× 155 1.5× 112 1.6× 114 1.6× 72 2.6× 30 348
P. Josephs-Franks 212 0.8× 97 0.9× 46 0.6× 80 1.1× 115 4.1× 24 339

Countries citing papers authored by Yihua Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yihua Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihua Bai

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