Yu Gu

4.1k citations
179 papers · 2.6k · h-index 26

Impact in

    • Energy Efficient Wireless Sensor Networks
    • Caching and Content Delivery
    • Network Traffic and Congestion Control
    • Wireless Networks and Protocols
    • Mobile Ad Hoc Networks
    • Software-Defined Networks and 5G
    • Speech and Audio Processing

Papers in

Yu Gu

153 papers receiving 2.5k citations

Peers

Yu Gu
Comparison fields: 5 of 123
  • Computer Networks and Communications 1.5k
  • Signal Processing 273
  • Computer Vision and Pattern Recognition 403
  • Electrical and Electronic Engineering 1.1k
  • Human-Computer Interaction 76
Replace Zhu Wang with:
Zhu Wang China
Rajesh Krishna Balan Singapore
Kyandoghere Kyamakya Austria
Igor Bisio Italy
Minglu Li China
Yanyong Zhang United States
JeongGil Ko South Korea
Khaled Elleithy United States
Stephan Sigg Finland
Mahbub Hassan Australia
Yu Gu relative to Zhu Wang China Zhu Wang's profile →
Citations per field
00.5×2.6×
Zhu Wang · 1×
Citations per year

Countries citing papers authored by Yu Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu Gu Line = papers co-authored together Yu Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008271
2 2015147
3 2008132
4 201698
5 200390
6 201589
7 201786
8 201277
9 202073
10 200770
11 202267
12 201566
13 201064
14 201958
15 200449
16 201847
17 202144
18 200442
19 202136
20 201430

About Yu Gu

Yu Gu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 179 papers that have together received 2.6k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (35 papers), Energy Efficient Wireless Sensor Networks (26 papers), Energy Harvesting in Wireless Networks (17 papers), Wireless Networks and Protocols (13 papers), Mobile Ad Hoc Networks (12 papers), Emotion and Mood Recognition (12 papers), Speech and Audio Processing (12 papers) and Context-Aware Activity Recognition Systems (10 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Signal Processing (273 citations), Computer Vision and Pattern Recognition (403 citations), Electrical and Electronic Engineering (1.1k citations) and Human-Computer Interaction (76 citations). Yu Gu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Fuji Ren, Jie Li, Yusheng Ji, Kyoungwon Suh, Jim Kurose, Michael Zink, Don Towsley, Zhi Liu, Xiang Zhang and Baohua Zhao. Their work appears in journals such as IEEE Access, IEEE Transactions on Mobile Computing, Frontiers of Computer Science, IEEE Transactions on Affective Computing and Materials Letters.

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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