Wen Gao

34.3k total citations · 10 hit papers
890 papers, 21.3k citations indexed

About

Wen Gao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Wen Gao has authored 890 papers receiving a total of 21.3k indexed citations (citations by other indexed papers that have themselves been cited), including 767 papers in Computer Vision and Pattern Recognition, 320 papers in Signal Processing and 71 papers in Media Technology. Recurrent topics in Wen Gao's work include Video Coding and Compression Technologies (270 papers), Advanced Vision and Imaging (255 papers) and Advanced Data Compression Techniques (176 papers). Wen Gao is often cited by papers focused on Video Coding and Compression Technologies (270 papers), Advanced Vision and Imaging (255 papers) and Advanced Data Compression Techniques (176 papers). Wen Gao collaborates with scholars based in China, United States and Hong Kong. Wen Gao's co-authors include Debin Zhao, Siwei Ma, Shiguang Shan, Xilin Chen, Qingming Huang, Tiejun Huang, Shiliang Zhang, Ruiqin Xiong, Ling‐Yu Duan and Jian Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Wen Gao

840 papers receiving 20.6k citations

Hit Papers

Pre-Trained Image Pr... 2006 2026 2012 2019 2021 2007 2020 2017 2014 400 800 1.2k

Peers

Wen Gao
Comparison fields: 5 of 207
  • Computer Vision and Pattern Recognition 16.7k
  • Signal Processing 4.8k
  • Artificial Intelligence 2.8k
  • Media Technology 2.6k
  • Biomedical Engineering 1.9k
Replace Stan Z. Li with:
Stan Z. Li China
Ioannis Pitas Greece
Tieniu Tan China
Shiguang Shan China
Jiwen Lu China
Andrea Vedaldi United Kingdom
Xilin Chen China
Matthew Turk United States
Konstantinos N. Plataniotis Canada
P. Jonathon Phillips United States
Stan Z. Li China View profile →
Citations per field, relative to Wen Gao
Wen Gao · 1×
Citations per year, relative to Wen Gao
Wen Gao · 1×

Countries citing papers authored by Wen Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wen Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Gao. A scholar is included among the top collaborators of Wen Gao 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 Wen Gao. Wen Gao 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
# Work Indexed citations
1 38
2 2
3 1
4 2
5 1
6 3
7 30
8 17
9 1
10 17
11 32
12 3
13 11
14 221
15 0
16 3
17 170
18
Pose-Driven Deep Convolutional Model for Person Re-identification breakdown →
594
19 22
20
Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes
0

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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