Xiangxiang Chu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- Ruijun XuBo ZhangXinjie YuQingyuan LiHailong MaChangqian YuNong SangChangxin Gao
- Topics
- Advanced Neural Network Applications (9 papers)Speech Recognition and Synthesis (5 papers)Domain Adaptation and Few-Shot Learning (4 papers)
In The Last Decade
Xiangxiang Chu
25 papers receiving 615 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 415
- Artificial Intelligence 257
- Media Technology 100
- Aerospace Engineering 77
- Electrical and Electronic Engineering 53
Countries citing papers authored by Xiangxiang Chu
This map shows the geographic impact of Xiangxiang Chu'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 Xiangxiang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangxiang Chu more than expected).
Fields of papers citing papers by Xiangxiang Chu
This network shows the impact of papers produced by Xiangxiang Chu. 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 Xiangxiang Chu. The network helps show where Xiangxiang Chu may publish in the future.
Co-authorship network of co-authors of Xiangxiang Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangxiang Chu. A scholar is included among the top collaborators of Xiangxiang Chu 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 Xiangxiang Chu. Xiangxiang Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentationbreakdown → | 56 |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 29 | |
| 9 | 0 | |
| 10 | 15 | |
| 11 | DARTS-: Robustly Stepping out of Performance Collapse Without Indicators | 35 |
| 12 | Twins: Revisiting Spatial Attention Design in Vision Transformers. | 36 |
| 13 | 20 | |
| 14 | 160 | |
| 15 | 7 | |
| 16 | A Strong On-Policy Competitor To PPO | 1 |
| 17 | 4 | |
| 18 | 37 | |
| 19 | 6 | |
| 20 | ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. | 14 |
About Xiangxiang Chu
Xiangxiang Chu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Speech Recognition and Synthesis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Media Technology (100 citations) and Artificial Intelligence (257 citations). Xiangxiang Chu has collaborated with scholars based in China, Malaysia and Ireland. Frequent co-authors include Ruijun Xu, Bo Zhang, Xinjie Yu, Qingyuan Li, Hailong Ma, Changqian Yu, Nong Sang, Changxin Gao, Bo Zhang and Qingyuan Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Internet of Things Journal and IEEE Transactions on Plasma Science.
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.