Guanghui Bai

151 total papers · 2.2k total citations
104 papers, 1.7k citations indexed

About

Guanghui Bai is a scholar working on Neurology, Epidemiology and Mechanical Engineering. According to data from OpenAlex, Guanghui Bai has authored 104 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 25 papers in Epidemiology and 19 papers in Mechanical Engineering. Recurrent topics in Guanghui Bai's work include Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Traumatic Brain Injury Research (20 papers) and Functional Brain Connectivity Studies (15 papers). Guanghui Bai is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Traumatic Brain Injury Research (20 papers) and Functional Brain Connectivity Studies (15 papers). Guanghui Bai collaborates with scholars based in China, United States and Canada. Guanghui Bai's co-authors include Zhihan Yan, Bo Yin, Xianggang Wang, Wei Teng, Shan Wang, Lijun Bai, Bo Shen, Hongchang Gao, Shuoqiu Gan and Fengwei Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Guanghui Bai

101 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Guanghui Bai 350 276 240 204 199 104 1.7k
Ju Hyun Jeon 162 0.5× 141 0.5× 191 0.8× 46 0.2× 192 1.0× 136 2.1k
Dee Wu 86 0.2× 101 0.4× 130 0.5× 208 1.0× 19 0.1× 93 2.2k
Seong Lee 251 0.7× 195 0.7× 120 0.5× 411 2.0× 13 0.1× 121 1.7k
Huanxin Chen 65 0.2× 130 0.5× 493 2.1× 410 2.0× 284 1.4× 131 2.3k
Peihua Zhang 55 0.2× 53 0.2× 502 2.1× 56 0.3× 114 0.6× 172 2.2k
Ailing Li 33 0.1× 117 0.4× 291 1.2× 43 0.2× 57 0.3× 107 1.7k
Yoshiaki Suzuki 203 0.6× 93 0.3× 487 2.0× 60 0.3× 10 0.1× 123 2.0k
Takayuki KOIZUMI 358 1.0× 124 0.4× 42 0.2× 363 1.8× 25 0.1× 186 1.5k
Jingna Zhang 102 0.3× 129 0.5× 169 0.7× 71 0.3× 33 0.2× 87 1.6k
Luís Agulló 71 0.2× 57 0.2× 478 2.0× 69 0.3× 400 2.0× 65 2.4k

Countries citing papers authored by Guanghui Bai

Since Specialization
Citations

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

Fields of papers citing papers by Guanghui Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghui Bai

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