Gaole Dai

49 total papers · 1.3k total citations
35 papers, 1.0k citations indexed

About

Gaole Dai is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Gaole Dai has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Aerospace Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Gaole Dai's work include Microwave Engineering and Waveguides (11 papers), Advanced Antenna and Metasurface Technologies (9 papers) and Nanoplatforms for cancer theranostics (6 papers). Gaole Dai is often cited by papers focused on Microwave Engineering and Waveguides (11 papers), Advanced Antenna and Metasurface Technologies (9 papers) and Nanoplatforms for cancer theranostics (6 papers). Gaole Dai collaborates with scholars based in China, Hong Kong and Singapore. Gaole Dai's co-authors include Claude Andary, Qiangbin Wang, Xiang Lan, Xuxing Lu, Weihai Ni, Zhong Chen, Ming‐Yao Xia, J. P. Geiger, Jean-François Daniel and M. Nicole and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Chemical Communications.

In The Last Decade

Gaole Dai

35 papers receiving 978 citations

Author Peers

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

Author						Papers	Cites
Gaole Dai	372	338	222	170	165	35	1.0k
Yuwen Zhao	396 1.1×	245 0.7×	255 1.1×	82 0.5×	205 1.2×	48	946
Haiyang Li	245 0.7×	681 2.0×	63 0.3×	83 0.5×	103 0.6×	57	1.1k
Mengru Li	392 1.1×	56 0.2×	93 0.4×	27 0.2×	240 1.5×	45	1.2k
Takashi Shimada	588 1.6×	613 1.8×	69 0.3×	138 0.8×	20 0.1×	46	1.2k
Lijia Yang	317 0.9×	290 0.9×	82 0.4×	192 1.1×	74 0.4×	64	975
Guo‐Zhang Wu	481 1.3×	296 0.9×	113 0.5×	299 1.8×	237 1.4×	32	1.2k
Danping Wang	427 1.1×	86 0.3×	94 0.4×	183 1.1×	67 0.4×	58	1.0k
Ching-Chun Chang	311 0.8×	194 0.6×	161 0.7×	282 1.7×	90 0.5×	47	986
Juan Yin	270 0.7×	140 0.4×	109 0.5×	61 0.4×	25 0.2×	28	905
Yinghua Guo	405 1.1×	212 0.6×	47 0.2×	53 0.3×	14 0.1×	66	995

Countries citing papers authored by Gaole Dai

Since Specialization

Citations

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

Fields of papers citing papers by Gaole Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaole Dai

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