Xiaoyi Tang

772 total citations
26 papers, 472 citations indexed

About

Xiaoyi Tang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoyi Tang has authored 26 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoyi Tang's work include Advanced Wireless Communication Techniques (5 papers), Wireless Communication Networks Research (5 papers) and Topic Modeling (4 papers). Xiaoyi Tang is often cited by papers focused on Advanced Wireless Communication Techniques (5 papers), Wireless Communication Networks Research (5 papers) and Topic Modeling (4 papers). Xiaoyi Tang collaborates with scholars based in China, United States and Australia. Xiaoyi Tang's co-authors include Andrea Goldsmith, Mohamed‐Slim Alouini, Avideh Zakhor, Jin Xue, Wei Li, Jiaqi Zhao, Mengxin Zhao, Daoyu Lin, Hongwei Chen and Xingjiang Li and has published in prestigious journals such as Blood, Nano Energy and IEEE Access.

In The Last Decade

Xiaoyi Tang

24 papers receiving 442 citations

Peers

Xiaoyi Tang
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 304
  • Computer Networks and Communications 269
  • Artificial Intelligence 61
  • Computer Vision and Pattern Recognition 49
  • Signal Processing 39
Replace Ajay Prasad with:
Ajay Prasad India
Sridhar Iyer India
Sohaib Manzoor Pakistan
Yi‐Hsiang Lai Taiwan
Pejman Khadivi Iran
Weifeng He China
Tengyue Zhang China
Xiukui Li China
Satyendra Singh Yadav India
Zahra Ahmadian Iran
Ajay Prasad India View profile →
Citations per field, relative to Xiaoyi Tang
Xiaoyi Tang · 1×
Citations per year, relative to Xiaoyi Tang
Xiaoyi Tang · 1×

Countries citing papers authored by Xiaoyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyi Tang. A scholar is included among the top collaborators of Xiaoyi 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 Xiaoyi Tang. Xiaoyi 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 0
2 2
3 1
4 0
5 1
6 8
7 14
8 18
9 14
10 4
11 30
12 1
13 2
14 3
15 2
16
Process Mining for Trauma Resuscitation.
3
17 32
18 44
19 3
20 185

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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