Wenbin Dai

28 total papers · 509 total citations
19 papers, 385 citations indexed

About

Wenbin Dai is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Information Systems. According to data from OpenAlex, Wenbin Dai has authored 19 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Information Systems. Recurrent topics in Wenbin Dai's work include Flexible and Reconfigurable Manufacturing Systems (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Nanoplatforms for cancer theranostics (6 papers). Wenbin Dai is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Nanoplatforms for cancer theranostics (6 papers). Wenbin Dai collaborates with scholars based in China, Sweden and Finland. Wenbin Dai's co-authors include Valeriy Vyatkin, Victor Dubinin, James H. Christensen, Qiao Jin, Haitao Hu, Zhe Tang, Jian Ji, Jun Zhou, Dong Wang and Dan Li and has published in prestigious journals such as Journal of the American Chemical Society, Biomaterials and Advanced Functional Materials.

In The Last Decade

Wenbin Dai

17 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Wenbin Dai 137 125 74 67 42 19 385
Weiliang Chen 151 1.1× 28 0.2× 115 1.6× 39 0.6× 9 0.2× 32 415
Wenbin Dai 66 0.5× 182 1.5× 23 0.3× 24 0.4× 47 1.1× 32 363
Danyang Chen 79 0.6× 35 0.3× 21 0.3× 37 0.6× 135 3.2× 14 380
Haoyu Yu 52 0.4× 166 1.3× 75 1.0× 5 0.1× 43 1.0× 30 436
Jin Ho Kim 59 0.4× 107 0.9× 41 0.6× 54 0.8× 92 2.2× 27 439
Ziyue Wang 83 0.6× 64 0.5× 115 1.6× 52 0.8× 5 0.1× 57 366
Hanju Kim 125 0.9× 7 0.1× 62 0.8× 80 1.2× 12 0.3× 39 419
Zhe Wang 124 0.9× 66 0.5× 57 0.8× 8 0.1× 7 0.2× 22 377
Yike Wang 30 0.2× 47 0.4× 115 1.6× 11 0.2× 8 0.2× 29 414
Zhiping Peng 32 0.2× 96 0.8× 107 1.4× 16 0.2× 10 0.2× 29 369

Countries citing papers authored by Wenbin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbin Dai

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