Chen Gao

2.1k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Chen Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chen Gao has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chen Gao's work include Image Enhancement Techniques (9 papers), Advanced Image Fusion Techniques (5 papers) and Image and Video Quality Assessment (4 papers). Chen Gao is often cited by papers focused on Image Enhancement Techniques (9 papers), Advanced Image Fusion Techniques (5 papers) and Image and Video Quality Assessment (4 papers). Chen Gao collaborates with scholars based in United States, China and Hong Kong. Chen Gao's co-authors include Sos С. Agaian, Karen Panetta, Jia‐Bin Huang, Yuliang Zou, Chang-Il Kim, Li Ma, Michael Zollhöfer, Qingfeng Zhou, Christian Richardt and Pedro V. Sander and has published in prestigious journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Journal of Oceanic Engineering and IEEE Transactions on Consumer Electronics.

In The Last Decade

Chen Gao

16 papers receiving 1.4k citations

Hit Papers

Human-Visual-System-Inspired Underwater Image Quality Mea... 2015 2026 2018 2022 2015 250 500 750 1000

Peers

Chen Gao
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 566
  • Atomic and Molecular Physics, and Optics 109
  • Oceanography 63
  • Biomedical Engineering 62
Replace Yan‐Tsung Peng with:
Yan‐Tsung Peng Taiwan
Ahmad Shahrizan Abdul Ghani Malaysia
Kunqian Li China
Codruta O. Ancuti Belgium
Zhiying Jiang China
Minjun Hou China
Shuzhou Yang China
Jieyu Yuan China
Ling-Hao Han China
Tianjiao Zeng China
Yan‐Tsung Peng Taiwan View profile →
Citations per field, relative to Chen Gao
Chen Gao · 1×
Citations per year, relative to Chen Gao
Chen Gao · 1×

Countries citing papers authored by Chen Gao

Since Specialization
Citations

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

Fields of papers citing papers by Chen Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Gao. A scholar is included among the top collaborators of Chen 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 Chen Gao. Chen Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 9
3 0
4 3
5 5
6
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection.
49
7 13
8 1
9
Human-Visual-System-Inspired Underwater Image Quality Measures breakdown →
1121
10 2
11 6
12 7
13 4
14 4
15 153
16 27
17 18
18 7

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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