Lixing Dai

51 total papers · 886 total citations
44 papers, 725 citations indexed

About

Lixing Dai is a scholar working on Polymers and Plastics, Materials Chemistry and Biomaterials. According to data from OpenAlex, Lixing Dai has authored 44 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Polymers and Plastics, 20 papers in Materials Chemistry and 17 papers in Biomaterials. Recurrent topics in Lixing Dai's work include Electrospun Nanofibers in Biomedical Applications (10 papers), Conducting polymers and applications (9 papers) and Synthesis and properties of polymers (7 papers). Lixing Dai is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (10 papers), Conducting polymers and applications (9 papers) and Synthesis and properties of polymers (7 papers). Lixing Dai collaborates with scholars based in China, Japan and United States. Lixing Dai's co-authors include Chuanxiang Qin, Jun Sun, Baoqi Zuo, Zhangxiong Wu, Jun Li, Eisuke YAMADA, Jianjun Wang, Jianjun Wang, Jianjun Wang and Jun Sun and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Materials Chemistry A and Journal of Materials Science.

In The Last Decade

Lixing Dai

43 papers receiving 706 citations

Author Peers

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

Author						Papers	Cites
Lixing Dai	281	256	255	251	94	44	725
Feng Xue	244 0.9×	310 1.2×	277 1.1×	213 0.8×	94 1.0×	47	865
Shuman Xu	209 0.7×	242 0.9×	274 1.1×	343 1.4×	123 1.3×	25	815
Xinghou Gong	262 0.9×	250 1.0×	199 0.8×	272 1.1×	51 0.5×	41	681
Alejandro Ávila‐Ortega	241 0.9×	211 0.8×	254 1.0×	242 1.0×	52 0.6×	40	806
Wilberth Herrera‐Kao	324 1.2×	141 0.6×	174 0.7×	231 0.9×	75 0.8×	27	736
Zonglin Li	304 1.1×	243 0.9×	259 1.0×	187 0.7×	120 1.3×	44	759
Zahid Hanif	251 0.9×	155 0.6×	149 0.6×	207 0.8×	62 0.7×	32	642
Toshiaki Taniike	163 0.6×	275 1.1×	311 1.2×	151 0.6×	72 0.8×	39	659
Ritesh Kumar	358 1.3×	179 0.7×	217 0.9×	335 1.3×	54 0.6×	39	842
William Gacitúa	250 0.9×	207 0.8×	208 0.8×	183 0.7×	106 1.1×	48	778

Countries citing papers authored by Lixing Dai

Since Specialization

Citations

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

Fields of papers citing papers by Lixing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixing Dai

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