Jianrui Cai

9 papers receiving 2.5k citations

Hit Papers

Second-Order Attention Network for Single Image Super-Res...20182026202020232019201820194008001.2k

Peers

Jianrui Cai
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 2.4k
  • Media Technology 1.4k
  • Biomedical Engineering 112
  • Artificial Intelligence 76
  • Atomic and Molecular Physics, and Optics 72
Replace Delu Zeng with:
Delu Zeng China
Hai‐Miao Hu China
Hongwei Yong Hong Kong
Yifan Jiang United States
Sunghyun Cho South Korea
Dongbo Min South Korea
Xinyu Gong China
Seungjun Nah South Korea
Long Ma China
Jiawei Zhang China
Jianrui Cai relative to Delu Zeng China Delu Zeng's profile →
Citations per field
00.5×1.5×
Delu Zeng · 1×
Citations per year

Countries citing papers authored by Jianrui Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jianrui Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianrui Cai

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 36
2 28
3 160
4
Second-Order Attention Network for Single Image Super-Resolutionbreakdown →
1239
5
Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Modelbreakdown →
286
6
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Imagesbreakdown →
792
7 9
8 19
9 13

About Jianrui Cai

Jianrui Cai is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Advanced Vision and Imaging (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Media Technology (1.4k citations), Computer Vision and Pattern Recognition (2.4k citations) and Instrumentation (31 citations). Jianrui Cai has collaborated with scholars based in Hong Kong, China and Cayman Islands. Frequent co-authors include Lei Zhang, Shuhang Gu, Tao Dai, Yongbing Zhang, Shu‐Tao Xia, Zisheng Cao, Hui Zeng, Hongwei Yong, Lida Li and Zhetong Liang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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