Lixia Xue
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Media Technology top 10%
- Management Science and Operations Research
- Topics
- Domain Adaptation and Few-Shot Learning (11 papers)Advanced Image and Video Retrieval Techniques (11 papers)Topic Modeling (7 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lixia Xue
47 papers receiving 393 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 154
- Electrical and Electronic Engineering 68
- Media Technology 48
- Management Science and Operations Research 31
Countries citing papers authored by Lixia Xue
This map shows the geographic impact of Lixia Xue'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 Lixia Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixia Xue more than expected).
Fields of papers citing papers by Lixia Xue
This network shows the impact of papers produced by Lixia Xue. 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 Lixia Xue. The network helps show where Lixia Xue may publish in the future.
Co-authorship network of co-authors of Lixia Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Lixia Xue. A scholar is included among the top collaborators of Lixia Xue 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 Lixia Xue. Lixia Xue 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 | 1 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 47 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | Detection algorithm of adaptive moving objects based on frame difference method | 6 |
| 17 | Adaptive Edge Detection Algorithm Based on Morphology | 1 |
| 18 | Improved method of Canny operator edge detection | 9 |
| 19 | Study on edge detection of multi-spectrum remote sensing image based on multi-dimension cloud space | 0 |
| 20 | Convergence Theorems of Iterative Sequences for Asymptotically Non-Expansive Mapping in a Uniformly Convex Banach Space | 2 |
About Lixia Xue
Lixia Xue is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 57 papers that have together received 405 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Artificial Intelligence (183 citations) and Media Technology (48 citations). Lixia Xue has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ronggui Wang, Juan Yang, Min Hu, Decun Dong, Yuchen Yang, Mingxi Li, Kai Ding, Long Chen, Haojie Zhu and Yuanyuan Jiang. Their work appears in journals such as Expert Systems with Applications, Neurocomputing and Knowledge-Based Systems.
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.