Bing Bai
Impact in
-
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
-
- Fire Detection and Safety Systems
Papers in
-
- Video Surveillance and Tracking Methods 5
- Advanced Image and Video Retrieval Techniques 4
- Medical Image Segmentation Techniques 2
- Visual Attention and Saliency Detection 2
-
- Neural Networks and Applications 2
- Co-authors
- Bineng Zhong (4 shared papers)Rama Chellappa (1 shared paper)Yogesh Balaji (1 shared paper)Hans Peter Graf (1 shared paper)Martin Renqiang Min (1 shared paper)Yulun Zhang (1 shared paper)Yun Fu (1 shared paper)Jun Li (1 shared paper)
- Journals
- Neurocomputing (2 papers)IEEE Transactions on Learning Technologies (1 paper)Computers & Security (1 paper)IEEE Transactions on Image Processing (1 paper)Journal of Visualization (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bing Bai
18 papers receiving 293 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 229
- Safety, Risk, Reliability and Quality 30
- Artificial Intelligence 89
- Automotive Engineering 23
- Computer Graphics and Computer-Aided Design 6
Countries citing papers authored by Bing Bai
This map shows the geographic impact of Bing Bai'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 Bing Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Bai more than expected).
Fields of papers citing papers by Bing Bai
This network shows the impact of papers produced by Bing Bai. 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 Bing Bai. The network helps show where Bing Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Bai, 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 | 72 | |
| 2 | 2009 | 72 | |
| 3 | 2018 | 68 | |
| 4 | 2018 | 27 | |
| 5 | Spatio-temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking | 2019 | 20 |
| 6 | 2020 | 14 | |
| 7 | 2020 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2006 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2021 | 0 | |
| 20 | 2024 | 0 |
About Bing Bai
Bing Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 20 papers that have together received 308 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Medical Image Segmentation Techniques (2 papers), Advanced Measurement and Detection Methods (2 papers), Visual Attention and Saliency Detection (2 papers), Infrared Target Detection Methodologies (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Safety, Risk, Reliability and Quality (30 citations), Artificial Intelligence (89 citations), Automotive Engineering (23 citations) and Computer Graphics and Computer-Aided Design (6 citations). Bing Bai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bineng Zhong, Rama Chellappa, Yogesh Balaji, Hans Peter Graf, Martin Renqiang Min, Yulun Zhang, Yun Fu, Jun Li, David Grangier and Olivier Chapelle. Their work appears in journals such as Neurocomputing, IEEE Transactions on Learning Technologies, Computers & Security, IEEE Transactions on Image Processing and Journal of Visualization.
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.