Gai Liu

44 total papers · 522 total citations
29 papers, 402 citations indexed

About

Gai Liu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Physiology. According to data from OpenAlex, Gai Liu has authored 29 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 8 papers in Electrical and Electronic Engineering and 6 papers in Physiology. Recurrent topics in Gai Liu's work include Magnetic Bearings and Levitation Dynamics (8 papers), Alzheimer's disease research and treatments (5 papers) and Tribology and Lubrication Engineering (5 papers). Gai Liu is often cited by papers focused on Magnetic Bearings and Levitation Dynamics (8 papers), Alzheimer's disease research and treatments (5 papers) and Tribology and Lubrication Engineering (5 papers). Gai Liu collaborates with scholars based in China, United States and Germany. Gai Liu's co-authors include Kevin J. Robbins, Noel D. Lazo, Samuel Sparks, Sarah A. Petty, Kaiyao Huang, Darryl Aucoin, Miranda Simon, A. Prabhakar, Guoxing Lin and Huangqiu Zhu and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Gai Liu

23 papers receiving 400 citations

Author Peers

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

Author						Papers	Cites
Gai Liu	194	158	51	48	46	29	402
Tuan Anh Nguyen	82 0.4×	32 0.2×	39 0.8×	66 1.4×	62 1.3×	53	418
Ta-Hsien Lin	237 1.2×	78 0.5×	28 0.5×	28 0.6×	34 0.7×	34	417
Manabu Itoh	192 1.0×	31 0.2×	31 0.6×	64 1.3×	15 0.3×	23	426
Yuan Xu	141 0.7×	35 0.2×	14 0.3×	54 1.1×	49 1.1×	27	430
Marcus Bäck	166 0.9×	97 0.6×	85 1.7×	75 1.6×	65 1.4×	23	421
Guo JianFeng	169 0.9×	63 0.4×	31 0.6×	65 1.4×	37 0.8×	29	394
Ximena Zottig	221 1.1×	106 0.7×	105 2.1×	37 0.8×	21 0.5×	17	403
Federica Piccirilli	161 0.8×	54 0.3×	58 1.1×	98 2.0×	70 1.5×	37	435
Sebastian Himbert	179 0.9×	125 0.8×	60 1.2×	20 0.4×	109 2.4×	26	395
Elise Glattard	235 1.2×	67 0.4×	30 0.6×	17 0.4×	24 0.5×	17	382

Countries citing papers authored by Gai Liu

Since Specialization

Citations

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

Fields of papers citing papers by Gai Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gai Liu

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