Borui Jiang
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Media Technology top 0.5%
- Remote-Sensing Image Classification
Papers in
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- Human Pose and Action Recognition 3
- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 2
- Journals
- Heat Transfer Engineering (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Borui Jiang
6 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 1.9k
- Media Technology 500
- Human-Computer Interaction 133
- Artificial Intelligence 710
- Industrial and Manufacturing Engineering 125
Countries citing papers authored by Borui Jiang
This map shows the geographic impact of Borui Jiang'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 Borui Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borui Jiang more than expected).
Fields of papers citing papers by Borui Jiang
This network shows the impact of papers produced by Borui Jiang. 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 Borui Jiang. The network helps show where Borui Jiang may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Borui Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 2 | |
| 4 | Fast Fourier Convolution | 2020 | 151 |
| 5 | Deep High-Resolution Representation Learning for Visual Recognition Hit paper breakdown → | 2020 | 2826 |
| 6 | 2020 | 9 |
About Borui Jiang
Borui Jiang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 3.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Advanced Vision and Imaging (3 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Metallurgical Processes and Thermodynamics (1 paper), Electromagnetic wave absorption materials (1 paper), Microwave-Assisted Synthesis and Applications (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (500 citations), Human-Computer Interaction (133 citations), Artificial Intelligence (710 citations) and Industrial and Manufacturing Engineering (125 citations). Borui Jiang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yadong Mu, Chaorui Deng, Ke Sun, Tianheng Cheng, Mingkui Tan, Xinggang Wang, Yang Zhao, Jingdong Wang, Dong Liu and Bin Xiao. Their work appears in journals such as Heat Transfer Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Information Processing Systems.
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.