Dianwei Wang

60 total papers · 627 total citations
47 papers, 470 citations indexed

About

Dianwei Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Dianwei Wang has authored 47 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 9 papers in Aerospace Engineering. Recurrent topics in Dianwei Wang's work include Image Enhancement Techniques (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Advanced Image Fusion Techniques (8 papers). Dianwei Wang is often cited by papers focused on Image Enhancement Techniques (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Advanced Image Fusion Techniques (8 papers). Dianwei Wang collaborates with scholars based in China, United Kingdom and United States. Dianwei Wang's co-authors include Huayu Tian, Ning Li, Li Mao, Cui Tao, Xuesi Chen, Zhijie Xu, Chunsheng Xiao, Peng Zhang, Sheng Shu and Kai Hao and has published in prestigious journals such as ACS Nano, Chemistry of Materials and Chemical Engineering Journal.

In The Last Decade

Dianwei Wang

41 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Dianwei Wang 188 130 110 80 70 47 470
Panpan Xue 114 0.6× 68 0.5× 79 0.7× 35 0.4× 36 0.5× 46 470
Sangpil Kim 148 0.8× 190 1.5× 75 0.7× 26 0.3× 99 1.4× 38 479
Pengfei Zhang 74 0.4× 86 0.7× 38 0.3× 66 0.8× 30 0.4× 42 491
Hongyu Zhou 103 0.5× 136 1.0× 57 0.5× 29 0.4× 63 0.9× 18 456
Yan Xi 110 0.6× 146 1.1× 46 0.4× 26 0.3× 22 0.3× 54 550
Shixiong Xu 74 0.4× 134 1.0× 64 0.6× 71 0.9× 13 0.2× 43 511
Tomáš Vičar 118 0.6× 122 0.9× 47 0.4× 23 0.3× 28 0.4× 34 470
Ziwei Lu 296 1.6× 111 0.9× 144 1.3× 21 0.3× 223 3.2× 52 511
Ru Xu 190 1.0× 123 0.9× 133 1.2× 20 0.3× 107 1.5× 45 513
Yanan Peng 85 0.5× 222 1.7× 72 0.7× 53 0.7× 15 0.2× 43 477

Countries citing papers authored by Dianwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dianwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianwei Wang

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