Xiao Gao
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Pollution top 10%
- Co-authors
- James L. MasseyXian-Bing MengHengzhen ZhangYu LiuS.J. OvaskaRuiqing NiuAntonio PlazaTao Chen
- Topics
- Neural Networks and Applications (6 papers)Fuzzy Logic and Control Systems (4 papers)Microplastics and Plastic Pollution (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentCancer Research
In The Last Decade
Xiao Gao
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 467
- Electrical and Electronic Engineering 190
- Computational Theory and Mathematics 137
- Computer Vision and Pattern Recognition 127
- Pollution 109
Countries citing papers authored by Xiao Gao
This map shows the geographic impact of Xiao 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 Xiao Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Gao more than expected).
Fields of papers citing papers by Xiao Gao
This network shows the impact of papers produced by Xiao 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 Xiao Gao. The network helps show where Xiao Gao may publish in the future.
Co-authorship network of co-authors of Xiao Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Gao. A scholar is included among the top collaborators of Xiao 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 Xiao Gao. Xiao 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 34 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 71 | |
| 10 | 43 | |
| 11 | 40 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | Dynamic output feedback H∞ attitude control for hypersonic gliding vehicles | 1 |
| 16 | 3D reconstruction of a scene from multiple 2D images | 5 |
| 17 | 11 | |
| 18 | Restoration Efficiency of Submerged Macrophytes with Three Planting Patterns | 2 |
| 19 | The new development of the "green clauses" of article XX of GATT in practice and green trade barrier ——From the practice of WTO dispute settlement | 0 |
| 20 | The Research of Route Planning Method Based on the Simulated Annealing Algorithm | 0 |
About Xiao Gao
Xiao Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (4 papers) and Microplastics and Plastic Pollution (4 papers). The work is most often cited by research in Artificial Intelligence (467 citations), Pollution (109 citations) and Computational Theory and Mathematics (137 citations). Xiao Gao has collaborated with scholars based in China, Finland and India. Frequent co-authors include James L. Massey, Xian-Bing Meng, Hengzhen Zhang, Yu Liu, S.J. Ovaska, Ruiqing Niu, Antonio Plaza, Tao Chen, Yunyi Wang and Mingqing Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Cancer Research.
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.