Fengxiao Tang

79 papers receiving 6.0k citations

Hit Papers

State-of-the-Art Deep Learning: Evolving Machine Intellig...201620262019202220172020201920192016200400600

Peers

Fengxiao Tang
Comparison fields: 5 of 126
  • Computer Networks and Communications 3.0k
  • Electrical and Electronic Engineering 3.0k
  • Aerospace Engineering 1.4k
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 577
Replace Zubair Md. Fadlullah with:
Zubair Md. Fadlullah Canada
Bomin Mao Japan
Shibo He China
Yuanming Shi China
Qiang Ni United Kingdom
Mingzhe Chen China
Eryk Dutkiewicz Australia
Zhiyong Feng China
Kaibin Huang Hong Kong
Jun Wu China
Fengxiao Tang relative to Zubair Md. Fadlullah Canada Zubair Md. Fadlullah's profile →
Citations per field
00.5×1.5×2.4×
Zubair Md. Fadlullah · 1×
Citations per year

Countries citing papers authored by Fengxiao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Fengxiao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengxiao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengxiao Tang. A scholar is included among the top collaborators of Fengxiao 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 Fengxiao Tang. Fengxiao 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
#WorkIndexed citations
1 0
2
A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Modelsbreakdown →
22
3 0
4 0
5 24
6 4
7 1
8 3
9 16
10 11
11 15
12 98
13 17
14 177
15 163
16 139
17 204
18 40
19 39
20
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systemsbreakdown →
606

About Fengxiao Tang

Fengxiao Tang is a scholar working on Computational Mathematics, Computer Networks and Communications and Aerospace Engineering, having authored 88 papers that have together received 6.2k indexed citations. Recurring topics across this work include UAV Applications and Optimization (19 papers), Advanced Wireless Communication Technologies (17 papers) and IoT and Edge/Fog Computing (14 papers). The work is most often cited by research in Computer Networks and Communications (3.0k citations), Aerospace Engineering (1.4k citations) and Electrical and Electronic Engineering (3.0k citations). Fengxiao Tang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Nei Kato, Bomin Mao, Zubair Md. Fadlullah, Yuichi Kawamoto, Jiajia Liu, Takeru Inoue, Osamu Akashi, Kimihiro Mizutani, Guan Gui and Ming Zhao. Their work appears in journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

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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