Wenyu Qu

3.3k citations
181 papers · 2.4k indexed · h-index 28
Topics
Caching and Content Delivery (27 papers)Indoor and Outdoor Localization Technologies (26 papers)Energy Efficient Wireless Sensor Networks (24 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Wenyu Qu

168 papers receiving 2.3k citations

Peers

Wenyu Qu
Comparison fields: 5 of 105
  • Computer Networks and Communications 1.2k
  • Electrical and Electronic Engineering 811
  • Artificial Intelligence 502
  • Information Systems 455
  • Computer Vision and Pattern Recognition 349
Replace Shigeng Zhang with:
Shigeng Zhang China
Ahmed Al‐Dubai United Kingdom
Guowei Wu China
Jiang Xiao China
Wei‐Shinn Ku United States
Heng Qi China
Chuan Heng Foh United Kingdom
Bomin Mao Japan
Jizhong Zhao China
Xiangming Wen China
Wenyu Qu relative to Shigeng Zhang China Shigeng Zhang's profile →
Citations per field
00.5×1.5×
Shigeng Zhang · 1×
Citations per year

Countries citing papers authored by Wenyu Qu

Since Specialization
Citations

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

Fields of papers citing papers by Wenyu Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyu Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyu Qu. A scholar is included among the top collaborators of Wenyu Qu 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 Wenyu Qu. Wenyu Qu 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 8
3 0
4 1
5 0
6 4
7 25
8 18
9 13
10 53
11 6
12 15
13 28
14 7
15 23
16
Discovering probabilistic frequent closed itemsets in uncertain database with tuple uncertainty.
1
17
A novel method for estimating flow length distributions from double-sampled flow statistics.
1
18
An optimal lifetime-adaptive method for wireless sensor networks.
1
19
A parallel information retrieval method for e-commerce.
1
20 4

About Wenyu Qu

Wenyu Qu is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 181 papers that have together received 2.4k indexed citations. Recurring topics across this work include Caching and Content Delivery (27 papers), Indoor and Outdoor Localization Technologies (26 papers) and Energy Efficient Wireless Sensor Networks (24 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Media Technology (271 citations) and Signal Processing (298 citations). Wenyu Qu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Keqiu Li, Tie Qiu, Zhiyang Li, Heng Qi, Hongbin Ma, Yanming Shen, Xiulong Liu, Peng Xiao, Geyong Min and Yujie Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and International Journal of Heat and Mass Transfer.

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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