Bin Zheng
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Media Technology top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Lijun TangBrian E. ChapmanSang Cheol ParkChen TangJianming ZhangXin WangWei WangWentao Chen
- Topics
- Video Surveillance and Tracking Methods (5 papers)Advanced Neural Network Applications (5 papers)IoT and Edge/Fog Computing (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Zheng
29 papers receiving 296 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 135
- Industrial and Manufacturing Engineering 85
- Media Technology 46
- Electrical and Electronic Engineering 43
- Artificial Intelligence 38
Countries citing papers authored by Bin Zheng
This map shows the geographic impact of Bin Zheng'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 Bin Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Zheng more than expected).
Fields of papers citing papers by Bin Zheng
This network shows the impact of papers produced by Bin Zheng. 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 Bin Zheng. The network helps show where Bin Zheng may publish in the future.
Co-authorship network of co-authors of Bin Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Zheng. A scholar is included among the top collaborators of Bin Zheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Zheng. Bin Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 75 | |
| 10 | 0 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 13 | |
| 20 | Outlier Mining for Time Series Data Based on Outlier Index | 0 |
About Bin Zheng
Bin Zheng is a scholar working on Computer Vision and Pattern Recognition, Geography, Planning and Development and Artificial Intelligence, having authored 35 papers that have together received 311 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (5 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Computer Vision and Pattern Recognition (135 citations) and Media Technology (46 citations). Bin Zheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lijun Tang, Brian E. Chapman, Sang Cheol Park, Chen Tang, Jianming Zhang, Xin Wang, Wei Wang, Wentao Chen, Yufan He and Li‐Dan Kuang. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sustainability.
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.