Yanqing Yao
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Aerospace Engineering top 5%
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Topics
- Remote-Sensing Image Classification (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)Remote Sensing and Land Use (3 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingEnergyIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- China
In The Last Decade
Yanqing Yao
10 papers receiving 621 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 466
- Media Technology 303
- Aerospace Engineering 193
- Artificial Intelligence 90
- Industrial and Manufacturing Engineering 49
Countries citing papers authored by Yanqing Yao
This map shows the geographic impact of Yanqing Yao'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 Yanqing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanqing Yao more than expected).
Fields of papers citing papers by Yanqing Yao
This network shows the impact of papers produced by Yanqing Yao. 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 Yanqing Yao. The network helps show where Yanqing Yao may publish in the future.
Co-authorship network of co-authors of Yanqing Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Yanqing Yao. A scholar is included among the top collaborators of Yanqing Yao 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 Yanqing Yao. Yanqing Yao 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 | 5 | |
| 3 | 23 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 54 | |
| 7 | 94 | |
| 8 | 134 | |
| 9 | Anchor-Free Oriented Proposal Generator for Object Detectionbreakdown → | 306 |
| 10 | 19 | |
| 11 | Application of mean shift algorithm for dynamic-object-selection of LAMOST | 1 |
| 12 | NUMERICAL PREDICTION OF SHIP GENERATED INTERNAL WAVES IN A STRATIFIED OCEAN AT SUPERCRITICAL FROUDE NUMBERS | 2 |
About Yanqing Yao
Yanqing Yao is a scholar working on Media Technology, Ecological Modeling and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 649 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Media Technology (303 citations), Computer Vision and Pattern Recognition (466 citations) and Aerospace Engineering (193 citations). Yanqing Yao has collaborated with scholars based in China. Frequent co-authors include Gong Cheng, Junwei Han, Xingxing Xie, Ke Li, Jiabao Wang, Chunbo Lang, Shengyang Li, Xiwen Yao, Peicheng Zhou and Guangxing Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Energy and IEEE Transactions on Circuits and Systems for Video Technology.
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.