Bingbin Liu

11 papers receiving 294 citations

Peers

Bingbin Liu
Comparison fields: 5 of 85
  • Health Informatics 10
  • Automotive Engineering 93
  • Computer Vision and Pattern Recognition 126
  • Safety, Risk, Reliability and Quality 50
  • Artificial Intelligence 70
Replace Jing Lian with:
Jing Lian China
Liangliang Ren China
Liang Peng China
Stefano Sirotti Italy
S.J. Krotosky United States
J.M. Collado Spain
Xingyao Wang China
Benjamin Maurin France
Bingbin Liu relative to Jing Lian China Jing Lian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bingbin Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bingbin Liu Line = papers co-authored together Bingbin Liu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020126
2 201980
3
Learning to Decompose and Disentangle Representations for Video Prediction
201839
4 202020
5 201311
6 20146
7
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities.
20185
8 20224
9 20224
10
Strategic Position of Xinjiang in China and in China's Opening to the West
20133
11 20223

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 301 indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (2 papers), Human Pose and Action Recognition (2 papers), Aluminum Alloy Microstructure Properties (2 papers), Aluminum Alloys Composites Properties (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Fatigue and fracture mechanics (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Health Informatics (10 citations), Automotive Engineering (93 citations), Computer Vision and Pattern Recognition (126 citations), Safety, Risk, Reliability and Quality (50 citations) and Artificial Intelligence (70 citations). Bingbin Liu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Juan Carlos Niebles, Zhangjie Cao, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Li Fei-Fei, De-An Huang, Long Zhang, Jun-Ting Hsieh and Arnold Milstein. Their work appears in journals such as Journal of Materials Engineering and Performance, npj Digital Medicine, Journal of Composite Materials, International Journal of Pressure Vessels and Piping and IEEE Robotics and Automation Letters.

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.

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