Wen Dai

24 total papers · 470 total citations
18 papers, 417 citations indexed

About

Wen Dai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Wen Dai has authored 18 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 7 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Wen Dai's work include ZnO doping and properties (10 papers), Ga2O3 and related materials (7 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). Wen Dai is often cited by papers focused on ZnO doping and properties (10 papers), Ga2O3 and related materials (7 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). Wen Dai collaborates with scholars based in China and United States. Wen Dai's co-authors include Zhizhen Ye, Xinhua Pan, Cong Chen, Honghai Zhang, Shanshan Chen, Zhen Wen, Yiyu Zeng, Wei Chen, Zhangjing Zhang and Shengchang Xiang and has published in prestigious journals such as Applied Physics Letters, Journal of Materials Chemistry A and Small.

In The Last Decade

Wen Dai

17 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
Wen Dai	335	260	140	73	51	18	417
Jayaprakash Khanderi	203 0.6×	265 1.0×	125 0.9×	45 0.6×	33 0.6×	20	454
Kartik Ghosh	301 0.9×	249 1.0×	126 0.9×	89 1.2×	78 1.5×	24	488
Thi My Huyen Nguyen	250 0.7×	262 1.0×	123 0.9×	59 0.8×	77 1.5×	26	409
Pirmin Ganter	265 0.8×	197 0.8×	72 0.5×	86 1.2×	24 0.5×	20	414
Yoko Kumai	391 1.2×	166 0.6×	86 0.6×	72 1.0×	34 0.7×	12	476
Ravinder Kaur	389 1.2×	210 0.8×	102 0.7×	75 1.0×	41 0.8×	17	484
Turki Alkathiri	269 0.8×	260 1.0×	79 0.6×	92 1.3×	35 0.7×	11	402
I. Najeh	317 0.9×	235 0.9×	126 0.9×	55 0.8×	122 2.4×	27	472
A. Elfalaky	224 0.7×	114 0.4×	136 1.0×	30 0.4×	57 1.1×	21	372
Pankaj Choudhary	293 0.9×	131 0.5×	140 1.0×	67 0.9×	51 1.0×	29	400

Countries citing papers authored by Wen Dai

Since Specialization

Citations

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

Fields of papers citing papers by Wen Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Dai

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