Kai Tang

518 total citations
35 papers, 359 citations indexed

About

Kai Tang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Tang has authored 35 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Tang's work include Gait Recognition and Analysis (5 papers), Indoor and Outdoor Localization Technologies (4 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Kai Tang is often cited by papers focused on Gait Recognition and Analysis (5 papers), Indoor and Outdoor Localization Technologies (4 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Kai Tang collaborates with scholars based in China, Australia and United States. Kai Tang's co-authors include Zhelong Wang, Giancarlo Fortino, Hongyu Zhao, Sen Qiu, Yongmei Jiang, Donghui Wu, Raffaele Gravina, Luyao Zhang, Yanming Shen and Ruichen Liu and has published in prestigious journals such as Remote Sensing of Environment, IEEE Access and Journal of Lightwave Technology.

In The Last Decade

Kai Tang

31 papers receiving 343 citations

Peers

Kai Tang
Comparison fields: 5 of 89
  • Biomedical Engineering 122
  • Computer Vision and Pattern Recognition 118
  • Electrical and Electronic Engineering 105
  • Artificial Intelligence 76
  • Computer Networks and Communications 51
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Citations per field, relative to Kai Tang
Kai Tang · 1×
Citations per year, relative to Kai Tang
Kai Tang · 1×

Countries citing papers authored by Kai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Tang. A scholar is included among the top collaborators of Kai Tang 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 Kai Tang. Kai Tang 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 1
2 0
3 1
4 3
5 0
6 2
7 6
8 40
9 2
10 4
11 28
12 37
13 74
14 22
15 3
16 6
17
[Comparison of treatment with micro endoscopic discectomy and posterior lumbar interbody fusion using single and double B-Twin expandable spinal spacer].
2
18 3
19
Multiple robot path planning strategies for bush fire fighting
1
20 1

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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