Zhengyi Le

548 citations
27 papers · 353 indexed · h-index 12
Topics
Context-Aware Activity Recognition Systems (8 papers)Energy Efficient Wireless Sensor Networks (7 papers)User Authentication and Security Systems (5 papers)
Partner nations
United StatesGreece

In The Last Decade

Zhengyi Le

27 papers receiving 336 citations

Peers

Zhengyi Le
Comparison fields: 5 of 55
  • Computer Networks and Communications 198
  • Computer Vision and Pattern Recognition 115
  • Artificial Intelligence 90
  • Electrical and Electronic Engineering 59
  • Demography 39
Replace Jie Wan with:
Jie Wan China
Christophe Lohr France
Davide Mulfari Italy
Rim Helaoui Italy
Gabriele Civitarese Italy
Sungyong Lee South Korea
Tayeb Lemlouma France
Sachio Saiki Japan
Luis Hideo Vasconcelos Nakamura Brazil
Ana B. García Spain
Zhengyi Le relative to Jie Wan China Jie Wan's profile →
Citations per field
00.5×1.6×
Jie Wan · 1×
Citations per year

Countries citing papers authored by Zhengyi Le

Since Specialization
Citations

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

Fields of papers citing papers by Zhengyi Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyi Le

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyi Le. A scholar is included among the top collaborators of Zhengyi Le 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 Zhengyi Le. Zhengyi Le 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 4
2 5
3 6
4 12
5 33
6 64
7
Dynamic information fusion and evidence equilibrium
1
8 12
9 1
10 16
11 16
12 4
13 9
14 11
15 4
16 26
17 16
18 7
19 13
20 35

About Zhengyi Le

Zhengyi Le is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 353 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (198 citations), Computer Vision and Pattern Recognition (115 citations) and Demography (39 citations). Zhengyi Le has collaborated with scholars based in United States and Greece. Frequent co-authors include Fillia Makedon, Vangelis Metsis, Eric Becker, Yi Ouyang, James Ford, Kyungseo Park, Ilias Maglogiannis, Charalampos Doukas, Yu Lei and Donggang Liu. Their work appears in journals such as Telematics and Informatics, Physical review. E and Security and Communication Networks.

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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