Miao Liu

2.6k citations
74 papers · 2.0k indexed · 1 hit paper · h-index 20
Topics
Advanced MIMO Systems Optimization (12 papers)Advanced Wireless Communication Technologies (10 papers)UAV Applications and Optimization (8 papers)
Partner nations
ChinaGermanyJapan

In The Last Decade

Miao Liu

66 papers receiving 2.0k citations

Hit Papers

Data-Driven Deep Learning for Automatic Modulation Recogn...20192026202120232019100200300400500

Peers

Miao Liu
Comparison fields: 5 of 133
  • Electrical and Electronic Engineering 858
  • Artificial Intelligence 784
  • Aerospace Engineering 597
  • Computer Networks and Communications 400
  • Molecular Biology 250
Replace Sijia Liu with:
Sijia Liu United States
Zhiyong Chen China
Seung‐Woo Seo South Korea
He Chen China
Muhammad Awais Pakistan
Ting Jiang China
Guanghui Li China
Jiahui Li China
Xu Yang Macao
Miao Liu relative to Sijia Liu United States Sijia Liu's profile →
Citations per field
00.5×8.7×
Sijia Liu · 1×
Citations per year

Countries citing papers authored by Miao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Miao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Liu. A scholar is included among the top collaborators of Miao Liu 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 Miao Liu. Miao Liu 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 1
3 2
4 1
5 23
6 24
7 2
8 33
9 11
10 34
11 18
12 60
13 18
14 28
15 14
16 18
17 5
18 203
19 65
20
Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radiosbreakdown →
549

About Miao Liu

Miao Liu is a scholar working on Computer Networks and Communications, Aerospace Engineering and Instrumentation, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Communication Technologies (10 papers) and UAV Applications and Optimization (8 papers). The work is most often cited by research in Artificial Intelligence (784 citations), Aerospace Engineering (597 citations) and Computer Networks and Communications (400 citations). Miao Liu has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Guan Gui, Jie Yang, Yu Wang, Tiecheng Song, Haris Gacanin, Hikmet Sari, Jing Hu, Fumiyuki Adachi, Jinlong Sun and Yue Yin. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and IEEE Transactions on Information Theory.

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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