Bingbin Liu
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Mechanical Behavior of Composites 2
-
- Aluminum Alloys Composites Properties 2
- Structural Integrity and Reliability Analysis 1
- Co-authors
- Juan Carlos Niebles (2 shared papers)Adrien Gaidon (1 shared paper)Ehsan Adeli (1 shared paper)Zhangjie Cao (1 shared paper)Kuan-Hui Lee (1 shared paper)Li Fei-Fei (3 shared papers)De-An Huang (1 shared paper)Jun-Ting Hsieh (1 shared paper)
- Journals
- Journal of Materials Engineering and Performance (2 papers)npj Digital Medicine (1 paper)Journal of Central South University (1 paper)IEEE Robotics and Automation Letters (1 paper)Journal of Composite Materials (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Bingbin Liu
11 papers receiving 287 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 11
- Automotive Engineering 92
- Computer Vision and Pattern Recognition 126
- Safety, Risk, Reliability and Quality 50
- Artificial Intelligence 72
Countries citing papers authored by Bingbin Liu
This map shows the geographic impact of Bingbin Liu'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 Bingbin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingbin Liu more than expected).
Fields of papers citing papers by Bingbin Liu
This network shows the impact of papers produced by Bingbin Liu. 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 Bingbin Liu. The network helps show where Bingbin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingbin Liu, 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 | 2020 | 125 | |
| 2 | 2019 | 78 | |
| 3 | Learning to Decompose and Disentangle Representations for Video Prediction | 2018 | 39 |
| 4 | 2020 | 19 | |
| 5 | 2013 | 11 | |
| 6 | 2014 | 6 | |
| 7 | 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. | 2018 | 5 |
| 8 | 2022 | 4 | |
| 9 | Strategic Position of Xinjiang in China and in China's Opening to the West | 2013 | 3 |
| 10 | 2022 | 3 | |
| 11 | 2022 | 3 |
About Bingbin Liu
Bingbin Liu is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (2 papers), Human Pose and Action Recognition (2 papers), Mechanical Behavior of Composites (2 papers), Aluminum Alloys Composites Properties (2 papers), Topology Optimization in Engineering (1 paper), Video Surveillance and Tracking Methods (1 paper), 3D Shape Modeling and Analysis (1 paper) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Health Informatics (11 citations), Automotive Engineering (92 citations), Computer Vision and Pattern Recognition (126 citations), Safety, Risk, Reliability and Quality (50 citations) and Artificial Intelligence (72 citations). Bingbin Liu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Juan Carlos Niebles, Adrien Gaidon, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Li Fei-Fei, De-An Huang, Jun-Ting Hsieh, Long Zhang and N. Lance Downing. Their work appears in journals such as Journal of Materials Engineering and Performance, npj Digital Medicine, Journal of Central South University, IEEE Robotics and Automation Letters and Journal of Composite Materials.
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.