Zhi Dou

1.3k total citations
22 papers, 956 citations indexed

About

Zhi Dou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Zhi Dou has authored 22 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Zhi Dou's work include Muscle activation and electromyography studies (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Prosthetics and Rehabilitation Robotics (3 papers). Zhi Dou is often cited by papers focused on Muscle activation and electromyography studies (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Prosthetics and Rehabilitation Robotics (3 papers). Zhi Dou collaborates with scholars based in China, United States and Australia. Zhi Dou's co-authors include He Huang, Fan Zhang, Levi J. Hargrove, Daniel R. Rogers, Kevin Englehart, Wentao Mao, Yongtao Ma, Kaihua Liu, Haojie Li and Yuan Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering and Pattern Recognition.

In The Last Decade

Zhi Dou

22 papers receiving 934 citations

Peers

Zhi Dou
Comparison fields: 5 of 93
  • Biomedical Engineering 491
  • Computer Vision and Pattern Recognition 197
  • Electrical and Electronic Engineering 167
  • Artificial Intelligence 134
  • Rehabilitation 84
Replace Xiao Gu with:
Xiao Gu China
Peng Yang China
Ju-Jang Lee South Korea
Ying-Cong Chen China
Odongo Steven Eyobu Uganda
M.K.A. Ahamed Khan Malaysia
Weiren Shi China
Jianga Shang China
Taojiannan Yang United States
Xiao Gu China View profile →
Citations per field, relative to Zhi Dou
Zhi Dou · 1×
Citations per year, relative to Zhi Dou
Zhi Dou · 1×

Countries citing papers authored by Zhi Dou

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Dou. A scholar is included among the top collaborators of Zhi Dou 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 Zhi Dou. Zhi Dou 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
# Work Indexed citations
1 10
2 23
3 1
4 18
5 8
6 73
7 99
8 1
9 71
10 9
11 3
12 22
13 34
14 87
15 5
16 5
17 423
18 10
19 26
20 19

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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