Xitong Gao
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture
- Building and Construction
- Co-authors
- Chengzhong XuYiren ZhaoGeorge A. ConstantinidesRobert MullinsKejiang YeJuanjuan ZhaoXingjian LiDejing Dou
- Topics
- Adversarial Robustness in Machine Learning (6 papers)Advanced Neural Network Applications (6 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessIEEE Transactions on Mobile Computing
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Xitong Gao
19 papers receiving 203 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 104
- Computer Vision and Pattern Recognition 92
- Electrical and Electronic Engineering 37
- Hardware and Architecture 27
- Building and Construction 23
Countries citing papers authored by Xitong Gao
This map shows the geographic impact of Xitong Gao'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 Xitong Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xitong Gao more than expected).
Fields of papers citing papers by Xitong Gao
This network shows the impact of papers produced by Xitong Gao. 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 Xitong Gao. The network helps show where Xitong Gao may publish in the future.
Co-authorship network of co-authors of Xitong Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xitong Gao. A scholar is included among the top collaborators of Xitong Gao 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 Xitong Gao. Xitong Gao 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 13 | |
| 9 | 29 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | Pay Attention to Features, Transfer Learn faster CNNs | 30 |
| 14 | 19 | |
| 15 | 27 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 9 |
About Xitong Gao
Xitong Gao is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 208 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (92 citations), Hardware and Architecture (27 citations) and Transportation (22 citations). Xitong Gao has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Chengzhong Xu, Yiren Zhao, George A. Constantinides, Robert Mullins, Kejiang Ye, Juanjuan Zhao, Xingjian Li, Dejing Dou, Juanjuan Zhao and Jianqi Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Mobile Computing.
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.