Fengxiao Tang

122 total papers · 8.4k total citations
87 papers, 6.1k citations indexed

About

Fengxiao Tang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Fengxiao Tang has authored 87 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 32 papers in Electrical and Electronic Engineering and 26 papers in Aerospace Engineering. Recurrent topics in Fengxiao Tang's work include UAV Applications and Optimization (19 papers), Advanced Wireless Communication Technologies (17 papers) and IoT and Edge/Fog Computing (14 papers). Fengxiao Tang is often cited by papers focused on UAV Applications and Optimization (19 papers), Advanced Wireless Communication Technologies (17 papers) and IoT and Edge/Fog Computing (14 papers). Fengxiao Tang collaborates with scholars based in China, Japan and United States. Fengxiao Tang's co-authors include Nei Kato, Bomin Mao, Zubair Md. Fadlullah, Yuichi Kawamoto, Jiajia Liu, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani, Guan Gui and Ming Zhao and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.

In The Last Decade

Fengxiao Tang

77 papers receiving 5.9k citations

Hit Papers

State-of-the-Art Deep Lea... 2016 2026 2019 2022 2017 2020 2019 2019 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
    2017 603 citations Zubair Md. Fadlullah, Fengxiao Tang et al. IEEE Communications Surveys & Tutorials profile →
  2. 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence
    2020 519 citations Guan Gui, Miao Liu et al. IEEE Wireless Communications profile →
  3. Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
    2019 468 citations Fengxiao Tang, Yuichi Kawamoto et al. Proceedings of the IEEE profile →
  4. Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence
    2019 323 citations Nei Kato, Zubair Md. Fadlullah et al. IEEE Wireless Communications profile →
  5. The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective
    2016 322 citations Nei Kato, Zubair Md. Fadlullah et al. IEEE Wireless Communications profile →
  6. Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning
    2017 290 citations Bomin Mao, Zubair Md. Fadlullah et al. IEEE Transactions on Computers profile →
  7. Ten Challenges in Advancing Machine Learning Technologies toward 6G
    2020 289 citations Nei Kato, Bomin Mao et al. IEEE Wireless Communications profile →
  8. The Roadmap of Communication and Networking in 6G for the Metaverse
    2022 190 citations Fengxiao Tang, Xuehan Chen et al. IEEE Wireless Communications profile →
  9. A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
    2025 16 citations S.Y. Long, Bomin Mao et al. IEEE Communications Surveys & Tutorials profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fengxiao Tang 3.0k 3.0k 1.4k 1.4k 570 87 6.1k
Bomin Mao 2.4k 0.8× 2.3k 0.8× 1.0k 0.7× 1.0k 0.7× 351 0.6× 66 4.5k
Guoru Ding 3.0k 1.0× 3.0k 1.0× 1.1k 0.8× 2.3k 1.6× 593 1.0× 211 6.1k
Shibo He 3.5k 1.2× 3.4k 1.1× 1.1k 0.8× 711 0.5× 469 0.8× 257 6.9k
Kaigui Bian 2.2k 0.7× 2.7k 0.9× 600 0.4× 1.1k 0.8× 800 1.4× 177 5.0k
Feng Lyu 2.8k 0.9× 2.3k 0.8× 1.1k 0.8× 1.4k 1.0× 517 0.9× 129 4.9k
Chi Harold Liu 2.9k 1.0× 1.8k 0.6× 2.0k 1.5× 999 0.7× 1.6k 2.8× 172 6.7k
Abdallah Khreishah 2.0k 0.7× 2.1k 0.7× 463 0.3× 1.8k 1.3× 893 1.6× 145 5.0k
Miao Pan 2.6k 0.9× 3.1k 1.0× 1.4k 1.0× 798 0.6× 360 0.6× 343 6.0k
Zubair Md. Fadlullah 4.3k 1.4× 4.1k 1.4× 1.7k 1.2× 2.0k 1.4× 596 1.0× 174 8.0k
Issa Khalil 2.2k 0.7× 1.1k 0.4× 999 0.7× 1.6k 1.1× 788 1.4× 105 4.6k

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

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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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2026