Borui Cai
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Topic Modeling 5
- Advanced Graph Neural Networks 4
- Domain Adaptation and Few-Shot Learning 3
- Anomaly Detection Techniques and Applications 3
- Advanced Text Analysis Techniques 2
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- Time Series Analysis and Forecasting 4
- Co-authors
- Guangyan Huang (8 shared papers)Yong Xiang (8 shared papers)Shuiqiao Yang (5 shared papers)Najmeh Samadiani (2 shared papers)Wei Luo (1 shared paper)Jing He (1 shared paper)Longxiang Gao (6 shared papers)Jianxin Li (2 shared papers)
In The Last Decade
Borui Cai
15 papers receiving 359 citations
Peers
Comparison fields: 5 of 90
- Experimental and Cognitive Psychology 82
- Computer Vision and Pattern Recognition 108
- Artificial Intelligence 166
- Signal Processing 26
- Statistical and Nonlinear Physics 26
Countries citing papers authored by Borui Cai
This map shows the geographic impact of Borui 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 Borui Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borui Cai more than expected).
Fields of papers citing papers by Borui Cai
This network shows the impact of papers produced by Borui 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 Borui Cai. The network helps show where Borui Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Borui Cai, 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 | 2019 | 135 | |
| 2 | 2021 | 41 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 39 | |
| 5 | 2019 | 30 | |
| 6 | 2021 | 20 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 |
About Borui Cai
Borui Cai is a scholar working on Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, Economics and Econometrics and Information Systems, having authored 17 papers that have together received 373 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Graph Neural Networks (4 papers), Time Series Analysis and Forecasting (4 papers), Complex Network Analysis Techniques (3 papers), Complex Systems and Time Series Analysis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (82 citations), Computer Vision and Pattern Recognition (108 citations), Artificial Intelligence (166 citations), Signal Processing (26 citations) and Statistical and Nonlinear Physics (26 citations). Borui Cai has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Guangyan Huang, Yong Xiang, Shuiqiao Yang, Najmeh Samadiani, Wei Luo, Jing He, Longxiang Gao, Jianxin Li, Jiaojiao Jiang and Shui Yu. Their work appears in journals such as Knowledge-Based Systems, IEEE Access, Expert Systems with Applications, IEEE Transactions on Mobile Computing and IEEE Transactions on Software Engineering.
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.