Xing Gao
- Artificial Intelligence top 5%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Topics
- Machine Learning in Bioinformatics (7 papers)Advanced Image and Video Retrieval Techniques (5 papers)Computer Graphics and Visualization Techniques (4 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xing Gao
83 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 345
- Molecular Biology 331
- Computational Theory and Mathematics 258
- Computer Vision and Pattern Recognition 98
- Information Systems 58
Countries citing papers authored by Xing Gao
This map shows the geographic impact of Xing 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 Xing Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Gao more than expected).
Fields of papers citing papers by Xing Gao
This network shows the impact of papers produced by Xing 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 Xing Gao. The network helps show where Xing Gao may publish in the future.
Co-authorship network of co-authors of Xing Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xing Gao. A scholar is included among the top collaborators of Xing 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 Xing Gao. Xing 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 | 0 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 129 | |
| 13 | 2 | |
| 14 | A research on the collaboration network of scientific project | 1 |
| 15 | Study on Evaluation Tools for Residents' Sense of Security in Safety Community | 0 |
| 16 | Progress In Structural Modification Of Puerarin | 2 |
| 17 | The Energy Consumption Analysis of Hotel F&B Service Process in China | 3 |
| 18 | THE SIMULATION OF THE ROLLER BIT TRANSMISSION RATIO | 1 |
| 19 | A Study of Wedge-shaped Cores from Hutouliang Site | 2 |
| 20 | First-time discovery of paleolithic remains in Zhejiang province | 1 |
About Xing Gao
Xing Gao is a scholar working on Chemical Health and Safety, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (258 citations), Artificial Intelligence (345 citations) and Computer Vision and Pattern Recognition (98 citations). Xing Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Leyi Wei, Quan Zou, Minghong Liao, Min Jiang, Kay Chen Tan, Shihui Guo, Zhenzhong Wang, Guilin Li, Bing Wang and Xiuting Li. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Access.
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.