Caiming Xiong
About
In The Last Decade
Caiming Xiong
154 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 3.5k
- Computer Vision and Pattern Recognition 3.0k
- Information Systems 494
- Molecular Biology 444
- Radiology, Nuclear Medicine and Imaging 161
Countries citing papers authored by Caiming Xiong
This map shows the geographic impact of Caiming Xiong'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 Caiming Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caiming Xiong more than expected).
Fields of papers citing papers by Caiming Xiong
This network shows the impact of papers produced by Caiming Xiong. 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 Caiming Xiong. The network helps show where Caiming Xiong may publish in the future.
Co-authorship network of co-authors of Caiming Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Caiming Xiong. A scholar is included among the top collaborators of Caiming Xiong 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 Caiming Xiong. Caiming Xiong 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML | 15 |
| 11 | 38 | |
| 12 | Towards Understanding Hierarchical Learning: Benefits of Neural Representations | 1 |
| 13 | Online Structured Meta-learning. | 2 |
| 14 | 23 | |
| 15 | Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering | 10 |
| 16 | Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. | 5 |
| 17 | Unifying Question Answering and Text Classification via Span Extraction. | 8 |
| 18 | 201 | |
| 19 | Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation | 6 |
| 20 | Efficient Max-Margin Metric Learning | 5 |
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.