Lantu Guo

597 total citations
33 papers, 338 citations indexed

About

Lantu Guo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lantu Guo has authored 33 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lantu Guo's work include Wireless Signal Modulation Classification (14 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Lantu Guo is often cited by papers focused on Wireless Signal Modulation Classification (14 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Lantu Guo collaborates with scholars based in China, Germany and Kuwait. Lantu Guo's co-authors include Guan Gui, Yu Wang, Yun Lin, Xue Fu, Yuchao Liu, Yun Lin, Haitao Zhao, Shengnan Shi, Yang Peng and Qianyun Zhang and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Lantu Guo

30 papers receiving 332 citations

Peers

Lantu Guo
Comparison fields: 5 of 48
  • Artificial Intelligence 215
  • Electrical and Electronic Engineering 94
  • Signal Processing 59
  • Aerospace Engineering 56
  • Computer Vision and Pattern Recognition 49
Replace Yang Peng with:
Yang Peng China
Haoran Zha China
Yuchao Liu China
Janusz Dudczyk Poland
Wenjun Yan China
Xueqiong Li China
Jay Whang United States
Rongkun Jiang China
Yang Peng China View profile →
Citations per field, relative to Lantu Guo
Lantu Guo · 1×
Citations per year, relative to Lantu Guo
Lantu Guo · 1×

Countries citing papers authored by Lantu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Lantu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lantu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Lantu Guo. A scholar is included among the top collaborators of Lantu Guo 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 Lantu Guo. Lantu Guo 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 5
4 3
5 0
6 0
7 1
8 2
9 6
10 3
11 6
12 6
13 26
14 22
15 3
16 3
17 5
18 7
19 5
20 7

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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