Binbin Cao
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Strategy and Management top 10%
- Sustainable Supply Chain Management
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
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- Sustainable Supply Chain Management 3
- Co-authors
- Zhongdong Xiao (5 shared papers)Peng Wang (2 shared papers)Ruigang Yang (2 shared papers)Yuanqing Lin (2 shared papers)Qichuan Geng (1 shared paper)Xinyu Huang (1 shared paper)Dingfu Zhou (1 shared paper)Xinjing Cheng (1 shared paper)
- Journals
- Transportation Research Part E Logistics and Transportation Review (1 paper)Journal of Industrial and Management Optimization (1 paper)Journal of Industrial and Production Engineering (1 paper)Journal of Cleaner Production (1 paper)Computers & Industrial Engineering (1 paper)
- Partner nations
- China
In The Last Decade
Binbin Cao
9 papers receiving 222 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 128
- Strategy and Management 68
- Automotive Engineering 48
- Industrial and Manufacturing Engineering 34
- Aerospace Engineering 68
Countries citing papers authored by Binbin Cao
This map shows the geographic impact of Binbin Cao'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 Binbin Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Cao more than expected).
Fields of papers citing papers by Binbin Cao
This network shows the impact of papers produced by Binbin Cao. 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 Binbin Cao. The network helps show where Binbin Cao may publish in the future.
Co-authors
The 22 scholars most cited alongside Binbin Cao, 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 | 2018 | 112 | |
| 2 | 2018 | 40 | |
| 3 | 2017 | 39 | |
| 4 | 2015 | 23 | |
| 5 | 2017 | 9 | |
| 6 | 2016 | 8 | |
| 7 | 2017 | 6 | |
| 8 | 2015 | 4 | |
| 9 | THU-IMG at TRECVID 2009 | 2009 | 1 |
About Binbin Cao
Binbin Cao is a scholar working on Computer Vision and Pattern Recognition, Strategy and Management, Industrial and Manufacturing Engineering, Environmental Engineering and Pollution, having authored 9 papers that have together received 242 indexed citations. Recurring topics across this work include Sustainable Industrial Ecology (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Sustainable Supply Chain Management (3 papers), Sustainability and Ecological Systems Analysis (2 papers), Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers), Complex Network Analysis Techniques (1 paper) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Strategy and Management (68 citations), Automotive Engineering (48 citations), Industrial and Manufacturing Engineering (34 citations) and Aerospace Engineering (68 citations). Binbin Cao has collaborated with scholars based in China. Frequent co-authors include Zhongdong Xiao, Peng Wang, Ruigang Yang, Yuanqing Lin, Qichuan Geng, Xinyu Huang, Dingfu Zhou, Xinjing Cheng, Wei Xu and Jianan Sun. Their work appears in journals such as Transportation Research Part E Logistics and Transportation Review, Journal of Industrial and Management Optimization, Journal of Industrial and Production Engineering, Journal of Cleaner Production and Computers & Industrial Engineering.
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.