Bei Zhao
- Media Technology top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Atmospheric Science top 5%
- Ecology top 5%
- Global and Planetary Change top 5%
- Topics
- Remote-Sensing Image Classification (17 papers)Advanced Image and Video Retrieval Techniques (13 papers)Remote Sensing and Land Use (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentIEEE Transactions on Geoscience and Remote Sensing
In The Last Decade
Bei Zhao
22 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Media Technology 1.3k
- Computer Vision and Pattern Recognition 764
- Atmospheric Science 646
- Ecology 366
- Global and Planetary Change 311
Countries citing papers authored by Bei Zhao
This map shows the geographic impact of Bei Zhao'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 Bei Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Zhao more than expected).
Fields of papers citing papers by Bei Zhao
This network shows the impact of papers produced by Bei Zhao. 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 Bei Zhao. The network helps show where Bei Zhao may publish in the future.
Co-authorship network of co-authors of Bei Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Bei Zhao. A scholar is included among the top collaborators of Bei Zhao 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 Bei Zhao. Bei Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagerybreakdown → | 474 |
| 4 | 66 | |
| 5 | 92 | |
| 6 | 21 | |
| 7 | 25 | |
| 8 | 88 | |
| 9 | 39 | |
| 10 | 120 | |
| 11 | Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagerybreakdown → | 306 |
| 12 | 20 | |
| 13 | 7 | |
| 14 | 280 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 40 | |
| 18 | 45 | |
| 19 | 19 | |
| 20 | 1 |
About Bei Zhao
Bei Zhao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Media Technology (1.3k citations), Computer Vision and Pattern Recognition (764 citations) and Atmospheric Science (646 citations). Bei Zhao has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Yanfei Zhong, Liangpei Zhang, Bo Huang, Yimeng Song, Gui-Song Xia, Qiqi Zhu, Liangpei Zhang, Ailong Ma, Hongzan Jiao and Yanfei Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.
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.