Tao Wu

77 papers receiving 896 citations

Peers

Tao Wu
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 268
  • Computer Vision and Pattern Recognition 262
  • Mechanical Engineering 163
  • Mechanics of Materials 138
  • Civil and Structural Engineering 119
Replace Zheng Guan with:
Zheng Guan China
Ning Liu China
Mi Lu United States
Yuntao Chen China
Tommaso Addabbo Italy
Zhengdong Zhang China
Carmine Landi Italy
Moisés Rivas-López Mexico
Hai Li China
Guiqing Li China
Tao Wu relative to Zheng Guan China Zheng Guan's profile →
Citations per field
00.5×9.8×
Zheng Guan · 1×
Citations per year

Countries citing papers authored by Tao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Wu. A scholar is included among the top collaborators of Tao Wu 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 Tao Wu. Tao Wu 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
#WorkIndexed citations
1 0
2 0
3 3
4 1
5 7
6 31
7
No-Reference Image Blur Assessment Based on SIFT and DCT.
3
8 6
9
Design and experiment of slide-combing roller finger for Polygonum cuspidatum root-soil separation.
6
10
Adaptive partly informed PSO algorithm and its characteristics analysis
3
11 3
12 3
13 1
14 1
15
Approaches researching and solution selecting of constrained-based geometric design
1
16
Design optimization of tooth-harmonic brushless doubly-fed machine
2
17 0
18 1
19
Method for comprehensive evaluation of highway network planning
1
20 34

About Tao Wu

Tao Wu is a scholar working on General Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 84 papers that have together received 936 indexed citations. Recurring topics across this work include Microwave Engineering and Waveguides (12 papers), Radio Frequency Integrated Circuit Design (10 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (262 citations), Media Technology (61 citations) and Automotive Engineering (77 citations). Tao Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ananth Ranganathan, Arun K. Somani, Bing Wu, Xiaobing Pei, P. Jonathon Phillips, Chuanbo Chen, Soma Biswas, Vishal M. Patel, Rama Chellappa and Zhen Luo. Their work appears in journals such as IEEE Access, Computer Methods in Applied Mechanics and Engineering and Applied Surface Science.

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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