Shuai Bai
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 3
- Multimodal Machine Learning Applications 2
- Artificial Intelligence top 5%
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- Advanced Battery Technologies Research 4
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- Advanced battery technologies research 6
- Advanced Battery Materials and Technologies 5
- Advancements in Battery Materials 4
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- Supercapacitor Materials and Fabrication 4
- Co-authors
- Hanzhe HuZhiqun HeLiwei WangAoxue LiJunjie YanJinshi CuiYu QiaoWei Wu
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceSafety, Risk, Reliability and Quality
- Journals
- Journal of Power Sources (1 paper)Carbon (1 paper)ACS Applied Materials & Interfaces (2 papers)
- Partner nations
- ChinaAustraliaCayman Islands
In The Last Decade
Shuai Bai
17 papers receiving 427 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 309
- Artificial Intelligence 208
- Safety, Risk, Reliability and Quality 43
- Transportation 24
- Automotive Engineering 39
Countries citing papers authored by Shuai Bai
This map shows the geographic impact of Shuai 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 Shuai Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Bai more than expected).
Fields of papers citing papers by Shuai Bai
This network shows the impact of papers produced by Shuai 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 Shuai Bai. The network helps show where Shuai Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuai 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 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 128 | |
| 14 | 2021 | 24 | |
| 15 | 2020 | 136 | |
| 16 | 2020 | 21 | |
| 17 | Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue | 2019 | 24 |
| 18 | Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix | 2019 | 20 |
| 19 | 2015 | 8 |
About Shuai Bai
Shuai Bai is a scholar working on Automotive Engineering, Electronic, Optical and Magnetic Materials and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced battery technologies research (6 papers), Advanced Battery Materials and Technologies (5 papers), Advancements in Battery Materials (4 papers), Advanced Battery Technologies Research (4 papers), Supercapacitor Materials and Fabrication (4 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (309 citations), Artificial Intelligence (208 citations) and Safety, Risk, Reliability and Quality (43 citations). Shuai Bai has collaborated with scholars based in China, Australia and Cayman Islands. Frequent co-authors include Hanzhe Hu, Zhiqun He, Liwei Wang, Aoxue Li, Junjie Yan, Jinshi Cui, Yu Qiao, Wei Wu, Yining Zhang and Wei Wu. Their work appears in journals such as Journal of Power Sources, Carbon and ACS Applied Materials & Interfaces.
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.