Hua Yu

5.1k citations
170 papers · 3.6k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Hua Yu

156 papers receiving 3.4k citations

Hit Papers

A direct LDA algorithm for high-dimensional data — with application to face recognition 2001 · 1.1k citations
1.1k20012026200920172505007501000

Peers

Hua Yu
Comparison fields: 5 of 146
  • Signal Processing 567
  • Computer Vision and Pattern Recognition 1.0k
  • Artificial Intelligence 880
  • Media Technology 239
  • Computer Networks and Communications 617
Replace Gang Wei with:
Gang Wei China
Liangtian Wan China
Driss Aboutajdine Morocco
Jun Yang China
M. N. S. Swamy Canada
Tom Minka United States
Shen-Shyang Ho United States
Xiaoli Ma United States
Roberto Togneri Australia
Susanto Rahardja Singapore
Hua Yu relative to Gang Wei China Gang Wei's profile →
Citations per field
00.5×3.7×
Gang Wei · 1×
Citations per year

Countries citing papers authored by Hua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hua Yu, 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 Hua Yu Line = papers co-authored together Hua Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20240
5 20244
6 20235
7 202311
8 202310
9 202318
10 20239
11 202129
12 202023
13 202019
14 202046
15 20193
16 20194
17 201830
18 201815
19 201712
20 20070

About Hua Yu

Hua Yu is a scholar working on Signal Processing, Ocean Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Oceanography, having authored 170 papers that have together received 3.6k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (44 papers), Advanced Wireless Communication Technologies (27 papers), Energy Harvesting in Wireless Networks (26 papers), Indoor and Outdoor Localization Technologies (26 papers), PAPR reduction in OFDM (23 papers), Advanced Wireless Communication Techniques (23 papers), Underwater Acoustics Research (20 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (567 citations), Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (880 citations), Media Technology (239 citations) and Computer Networks and Communications (617 citations). Hua Yu has collaborated with scholars based in China, United States and France. Frequent co-authors include Jie Yang, Fei Ji, Fangjiong Chen, Miaowen Wen, Michael Krauthammer, Pauline Kra, Andrey Rzhetsky, Cynthia Friedman, Yun Liu and Quansheng Guan. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Communications Letters, IEEE Transactions on Communications, IEEE Internet of Things Journal and Sensors.

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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