Ji Zhao
- Computer Vision and Pattern Recognition top 0.2%
- Aerospace Engineering top 0.2%
- Media Technology top 0.5%
- Computational Mechanics top 2%
- Geology top 1%
- Topics
- Robotics and Sensor-Based Localization (36 papers)Advanced Vision and Imaging (28 papers)Advanced Image and Video Retrieval Techniques (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Ji Zhao
54 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 3.2k
- Aerospace Engineering 2.3k
- Media Technology 672
- Computational Mechanics 384
- Geology 328
Countries citing papers authored by Ji Zhao
This map shows the geographic impact of Ji 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 Ji Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Zhao more than expected).
Fields of papers citing papers by Ji Zhao
This network shows the impact of papers produced by Ji 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 Ji Zhao. The network helps show where Ji Zhao may publish in the future.
Co-authorship network of co-authors of Ji Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Zhao. A scholar is included among the top collaborators of Ji 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 Ji Zhao. Ji 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 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 174 | |
| 12 | 6 | |
| 13 | 16 | |
| 14 | 32 | |
| 15 | 241 | |
| 16 | 124 | |
| 17 | 14 | |
| 18 | Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transformingbreakdown → | 398 |
| 19 | 10 | |
| 20 | 0 |
About Ji Zhao
Ji Zhao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 56 papers that have together received 3.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (36 papers), Advanced Vision and Imaging (28 papers) and Advanced Image and Video Retrieval Techniques (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Aerospace Engineering (2.3k citations) and Media Technology (672 citations). Ji Zhao has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Jiayi Ma, Jinwen Tian, Junjun Jiang, Huabing Zhou, Alan Yuille, Zhuowen Tu, Xiaojie Guo, Yong Ma, Yuan Gao and Yijia He. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.