Xianbiao Qi
- Computer Vision and Pattern Recognition top 1%
- Civil and Structural Engineering top 2%
- Media Technology top 1%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Image Retrieval and Classification Techniques (7 papers)Remote-Sensing Image Classification (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Xianbiao Qi
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 802
- Civil and Structural Engineering 634
- Media Technology 273
- Artificial Intelligence 240
- Mechanical Engineering 214
Countries citing papers authored by Xianbiao Qi
This map shows the geographic impact of Xianbiao Qi'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 Xianbiao Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianbiao Qi more than expected).
Fields of papers citing papers by Xianbiao Qi
This network shows the impact of papers produced by Xianbiao Qi. 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 Xianbiao Qi. The network helps show where Xianbiao Qi may publish in the future.
Co-authorship network of co-authors of Xianbiao Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Xianbiao Qi. A scholar is included among the top collaborators of Xianbiao Qi 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 Xianbiao Qi. Xianbiao Qi 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 | 0 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 67 | |
| 6 | 1 | |
| 7 | 44 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 119 | |
| 11 | DeepCrack: Learning Hierarchical Convolutional Features for Crack Detectionbreakdown → | 720 |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 72 | |
| 15 | 5 | |
| 16 | 219 | |
| 17 | 32 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 23 |
About Xianbiao Qi
Xianbiao Qi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (7 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (802 citations), Media Technology (273 citations) and Civil and Structural Engineering (634 citations). Xianbiao Qi has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Qingquan Li, Qin Zou, Song Wang, Zheng Zhang, Qian Wang, Jun Guo, Chunguang Li, Yu Qiao, Rong Xiao and Xiaoou Tang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.