Yuxia Geng
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Management Science and Operations Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jiaoyan ChenHuajun ChenJeff Z. PanZhuo ChenZhiquan YeIan HorrocksWen ZhangNing Sun
- Topics
- Domain Adaptation and Few-Shot Learning (14 papers)Multimodal Machine Learning Applications (13 papers)Topic Modeling (9 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuxia Geng
21 papers receiving 365 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 310
- Computer Vision and Pattern Recognition 104
- Information Systems 34
- Management Science and Operations Research 30
- Radiology, Nuclear Medicine and Imaging 24
Countries citing papers authored by Yuxia Geng
This map shows the geographic impact of Yuxia Geng'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 Yuxia Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxia Geng more than expected).
Fields of papers citing papers by Yuxia Geng
This network shows the impact of papers produced by Yuxia Geng. 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 Yuxia Geng. The network helps show where Yuxia Geng may publish in the future.
Co-authorship network of co-authors of Yuxia Geng
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxia Geng. A scholar is included among the top collaborators of Yuxia Geng 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 Yuxia Geng. Yuxia Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 25 | |
| 8 | 34 | |
| 9 | 27 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 43 | |
| 16 | 13 | |
| 17 | 32 | |
| 18 | 11 | |
| 19 | 45 | |
| 20 | 28 |
About Yuxia Geng
Yuxia Geng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 373 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (13 papers) and Topic Modeling (9 papers). The work is most often cited by research in Artificial Intelligence (310 citations), Computer Vision and Pattern Recognition (104 citations) and Management Science and Operations Research (30 citations). Yuxia Geng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jiaoyan Chen, Huajun Chen, Jeff Z. Pan, Zhuo Chen, Zhiquan Ye, Ian Horrocks, Wen Zhang, Ning Sun, Yuan He and Mingyang Chen. Their work appears in journals such as Proceedings of the IEEE, Expert Systems with Applications and Information Fusion.
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.