Dejian Dai

47 total papers · 809 total citations
33 papers, 648 citations indexed

About

Dejian Dai is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Dejian Dai has authored 33 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 7 papers in Molecular Biology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Dejian Dai's work include Carbon and Quantum Dots Applications (9 papers), Silicon Nanostructures and Photoluminescence (9 papers) and ZnO doping and properties (4 papers). Dejian Dai is often cited by papers focused on Carbon and Quantum Dots Applications (9 papers), Silicon Nanostructures and Photoluminescence (9 papers) and ZnO doping and properties (4 papers). Dejian Dai collaborates with scholars based in China, Vietnam and South Korea. Dejian Dai's co-authors include Jiyang Fan, Xiaoxiao Guo, Wenxia Zhang, Xifang Chen, Baohua Zhang, Jichao Huang, Jun Zhou, Xiaoxiao Guo, Yuanyuan Li and Mingrong Cheng and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Carbon.

In The Last Decade

Dejian Dai

33 papers receiving 638 citations

Author Peers

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

Author Last Decade Papers Cites
Dejian Dai 297 134 125 117 114 33 648
Ivana Zeković 259 0.9× 61 0.5× 127 1.0× 181 1.5× 137 1.2× 34 709
Aarón Hernández-Santana 102 0.3× 232 1.7× 223 1.8× 30 0.3× 48 0.4× 23 734
Wenting Wang 90 0.3× 375 2.8× 126 1.0× 39 0.3× 139 1.2× 44 782
Tatjana Dramićanin 118 0.4× 111 0.8× 111 0.9× 192 1.6× 55 0.5× 34 613
Yuming Jiang 120 0.4× 205 1.5× 185 1.5× 79 0.7× 23 0.2× 28 771
Hyun-Gyu Lee 121 0.4× 108 0.8× 113 0.9× 34 0.3× 122 1.1× 40 696
Xu Li 283 1.0× 182 1.4× 181 1.4× 33 0.3× 125 1.1× 43 701
Xue Wang 119 0.4× 203 1.5× 149 1.2× 33 0.3× 155 1.4× 50 646
Yuncong Yuan 195 0.7× 195 1.5× 282 2.3× 46 0.4× 52 0.5× 35 685
Haimei Shi 104 0.4× 344 2.6× 167 1.3× 35 0.3× 40 0.4× 27 659

Countries citing papers authored by Dejian Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dejian Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejian Dai

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