Zhou Wang

98.7k citations
396 papers · 66.8k indexed · 21 hit papers · h-index 66

Zhou Wang

365 papers receiving 64.0k citations

Hit Papers

Blind Image Quality Asse...558199920262008201710002.0k3.0k

Peers

Zhou Wang
Comparison fields: 5 of 219
  • Media Technology 23.1k
  • Computer Vision and Pattern Recognition 51.0k
  • Computer Graphics and Computer-Aided Design 2.0k
  • Acoustics and Ultrasonics 462
  • Signal Processing 5.5k
Replace Eero P. Simoncelli with:
Eero P. Simoncelli United States
Alan C. Bovik United States
Hamid R. Sheikh United States
Andrew Zisserman United Kingdom
Lei Zhang China
Jitendra Malik United States
Michael Elad Israel
Guillermo Sapiro United States
William T. Freeman United States
Zhou Wang relative to Eero P. Simoncelli United States Eero P. Simoncelli's profile →
Citations per field
00.5×1.5×
Eero P. Simoncelli · 1×
Citations per year

Countries citing papers authored by Zhou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20240
4 20242
5 20240
6 202433
7 20246
8 20240
9 202412
10 20237
11 202318
12 202311
13 2022113
14 20218
15 201989
16 201853
17
End-to-End Blind Image Quality Assessment Using Deep Neural Networksbreakdown →
2017418
18 201625
19
Universality for the largest eigenvalue of a class of sample covariance matrices
20132
20 200223

About Zhou Wang

Zhou Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Statistics and Probability, having authored 396 papers that have together received 66.8k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (137 papers), Advanced Image Processing Techniques (72 papers), Advanced Image Fusion Techniques (71 papers), Image Enhancement Techniques (57 papers), Image and Signal Denoising Methods (56 papers), Visual Attention and Saliency Detection (37 papers), Video Coding and Compression Technologies (31 papers) and Statistical Methods and Inference (27 papers). The work is most often cited by research in Media Technology (23.1k citations), Computer Vision and Pattern Recognition (51.0k citations) and Computer Graphics and Computer-Aided Design (2.0k citations). Zhou Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Alan C. Bovik, Eero P. Simoncelli, Hamid R. Sheikh, Kede Ma, Qiang Li, Ligang Lu, David Zhang, Hojatollah Yeganeh, Zhengfang Duanmu and Abdul Rehman. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal of Selected Topics in Signal Processing, Bernoulli and IEEE Signal Processing 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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