Bin Yu

3.7k citations
87 papers · 2.6k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Bin Yu

79 papers receiving 2.4k citations

Hit Papers

Spatially adaptive wavelet thresholding with context modeling for image denoising 2000 · 646 citations
6462000202620082017200400600

Peers

Bin Yu
Comparison fields: 5 of 153
  • Media Technology 426
  • Computer Vision and Pattern Recognition 704
  • Computer Networks and Communications 731
  • Signal Processing 171
  • Artificial Intelligence 416
Replace Bin Song with:
Bin Song China
Jun Zhang China
Zheng Ma China
Yi Liu China
Yuanyan Tang China
Hongxia Wang China
R.A. Jarvis Australia
Mark E. Oxley United States
Bin Yu relative to Bin Song China Bin Song's profile →
Citations per field
00.5×1.5×2.0×
Bin Song · 1×
Citations per year

Countries citing papers authored by Bin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 202326
3 202353
4 202313
5 20230
6 20231
7 20233
8 20230
9 20231
10 20222
11 20222
12 20221
13 202175
14 20215
15 20198
16 20186
17 20163
18
Basic behaviors of recycled coarse aggregate concrete with fly ash
20081
19 20074
20
A Fast Lightweight Approach to Orgin-Destination IP Traffic Estimation Using Partial Measurements
20052

About Bin Yu

Bin Yu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Bioengineering and Automotive Engineering, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (8 papers), Full-Duplex Wireless Communications (8 papers), Energy Harvesting in Wireless Networks (6 papers), Advanced MIMO Systems Optimization (6 papers), Image and Signal Denoising Methods (4 papers), Electric Vehicles and Infrastructure (3 papers), Network Security and Intrusion Detection (3 papers) and Metallurgical Processes and Thermodynamics (3 papers). The work is most often cited by research in Media Technology (426 citations), Computer Vision and Pattern Recognition (704 citations), Computer Networks and Communications (731 citations), Signal Processing (171 citations) and Artificial Intelligence (416 citations). Bin Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Martin Vetterli, Sheng Chang, Robert Nowak, Alfred O. Hero, Allan L. Coates, Mark Hansen, Chris Holmes, Mark Coates, Gang Liang and Bani K. Mallick. Their work appears in journals such as IEEE Access, ISIJ International, Measurement Science and Technology, International Journal of Refractory Metals and Hard Materials and IEEE Transactions on Industrial Electronics.

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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