Bolin Ni
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Human Pose and Action Recognition
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- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Gaofeng Meng (6 shared papers)Shiming Xiang (4 shared papers)Jianlong Chang (1 shared paper)Qi Tian (1 shared paper)Chunlei Huo (1 shared paper)Hongbo Zhao (1 shared paper)Zhaoxiang Zhang (1 shared paper)Xin Zhang (1 shared paper)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Bolin Ni
6 papers receiving 58 citations
Peers
Comparison fields: 5 of 24
- Computer Vision and Pattern Recognition 34
- Artificial Intelligence 32
- Media Technology 5
- Neurology 4
- Human-Computer Interaction 2
Countries citing papers authored by Bolin Ni
This map shows the geographic impact of Bolin Ni'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 Bolin Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bolin Ni more than expected).
Fields of papers citing papers by Bolin Ni
This network shows the impact of papers produced by Bolin Ni. 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 Bolin Ni. The network helps show where Bolin Ni may publish in the future.
Co-authors
The 22 scholars most cited alongside Bolin Ni, 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 | 40 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2026 | 0 |
About Bolin Ni
Bolin Ni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 58 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advanced Neural Network Applications (2 papers), Image Processing Techniques and Applications (2 papers), Robotics and Sensor-Based Localization (1 paper), Advanced Memory and Neural Computing (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (34 citations), Artificial Intelligence (32 citations), Media Technology (5 citations), Neurology (4 citations) and Human-Computer Interaction (2 citations). Bolin Ni has collaborated with scholars based in China, United States and India. Frequent co-authors include Gaofeng Meng, Shiming Xiang, Jianlong Chang, Qi Tian, Chunlei Huo, Hongbo Zhao, Zhaoxiang Zhang, Xin Zhang, Yuxi Wang and Hongbo Zhao. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.