Duo Wang

506 total citations
27 papers, 345 citations indexed

About

Duo Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Duo Wang has authored 27 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Duo Wang's work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Measurement and Detection Methods (3 papers) and Image and Signal Denoising Methods (3 papers). Duo Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Advanced Measurement and Detection Methods (3 papers) and Image and Signal Denoising Methods (3 papers). Duo Wang collaborates with scholars based in China, Japan and United States. Duo Wang's co-authors include Xiangmin Jiao, Hiroshi Kokubu, Hiroe Oka, Toshihisa Tanaka, Zhijian Chen, Hongyuan Zha, Shufeng Wang, Zuqiang Bian, Ning Zhu and Wei Luo and has published in prestigious journals such as Advanced Functional Materials, Journal of Computational Physics and Optics Express.

In The Last Decade

Duo Wang

24 papers receiving 327 citations

Peers

Duo Wang
Abdul Rahman Abdullah Malaysia
Ciprian S. Borcea United States
Ludwig Danzer Germany
Károly Bezdek Hungary
Xiaoxia Li China
Jörg Μ. Thuswaldner Austria
Andrew Beveridge United States
Huaigu Tian China
Abdul Rahman Abdullah Malaysia
Duo Wang
Citations per year, relative to Duo Wang Duo Wang (= 1×) peers Abdul Rahman Abdullah

Countries citing papers authored by Duo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Duo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Duo Wang. A scholar is included among the top collaborators of Duo 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 Duo Wang. Duo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Duo & Toshihisa Tanaka. (2020). A Robust Method for Kernel Principal Component Analysis. 29. 294–297. 2 indexed citations
3.
Wang, Duo & Toshihisa Tanaka. (2020). Robust Kernel Principal Component Analysis With ℓ2,1-Regularized Loss Minimization. IEEE Access. 8. 81864–81875. 4 indexed citations
4.
Wang, Duo, et al.. (2019). Multi-UAV Cooperative Target Tracking Strategy Based on Formation Control. 6224–6229. 1 indexed citations
5.
Wu, Cuncun, Duo Wang, Yuqing Zhang, et al.. (2019). FAPbI3 Flexible Solar Cells with a Record Efficiency of 19.38% Fabricated in Air via Ligand and Additive Synergetic Process. Advanced Functional Materials. 29(34). 113 indexed citations
6.
Wang, Duo & Toshihisa Tanaka. (2019). Kernel Principal Component Analysis Allowing Sparse Representation and Sample Selection. ECTI Transactions on Computer and Information Technology (ECTI-CIT). 13(1). 9–20. 2 indexed citations
7.
Wang, Xiaofeng, Lilian Zhang, Duo Wang, & Xiao Hu. (2018). Person detection, tracking and following using stereo camera. 28. 51–51. 4 indexed citations
8.
9.
Wang, Duo & Toshihisa Tanaka. (2016). Sparse kernel principal component analysis based on elastic net regularization. 3703–3708. 6 indexed citations
10.
Wang, Duo. (2011). Centroid Detection of Targets on Near Infrared Stellar Map Based on C Spline Method and Gauss Method Comprision. 1 indexed citations
11.
She, Jieying, Duo Wang, & Mingli Song. (2011). Automatic image cropping using sparse coding. 490–494. 13 indexed citations
12.
Jiao, Xiangmin & Duo Wang. (2011). Reconstructing high-order surfaces for meshing. Engineering With Computers. 28(4). 361–373. 32 indexed citations
13.
Jiao, Xiangmin, Duo Wang, & Hongyuan Zha. (2010). Simple and effective variational optimization of surface and volume triangulations. Engineering With Computers. 27(1). 81–94. 23 indexed citations
14.
Wang, Duo. (2009). Fast Face Capturing and Tracking Method in Motion Image. Journal of Jilin University(Science Edition). 1 indexed citations
15.
Wang, Duo. (2009). Feature recognition based on self-organized neural network. 1 indexed citations
16.
Li, Wenhui, et al.. (2008). Feature Recognition Based on Neural Network. 21. 983–987.
17.
Wang, Duo, et al.. (2008). Feature Recognition Based on Graph Decomposition and Neural Network. 24. 864–868. 2 indexed citations
18.
Wang, Duo. (2003). The Boundedness and the Stability of Solutions for a Class of Fourth Order Nonlinear Differential Equations. Journal of Mathematical Research and Exposition.
19.
Kokubu, Hiroshi, Hiroe Oka, & Duo Wang. (1996). Linear Grading Function and Further Reduction of Normal Forms. Journal of Differential Equations. 132(2). 293–318. 58 indexed citations
20.
Wang, Duo, et al.. (1986). On the monotonicity of the period function of some second order equations. Časopis pro pěstování matematiky. 111(1). 14–25. 45 indexed citations

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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