Ge Song
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Control and Systems Engineering
- Signal Processing
- Topics
- Cryptography and Data Security (5 papers)Human Pose and Action Recognition (4 papers)Complexity and Algorithms in Graphs (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ge Song
19 papers receiving 235 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 65
- Information Systems 43
- Control and Systems Engineering 32
- Signal Processing 30
Countries citing papers authored by Ge Song
This map shows the geographic impact of Ge Song'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 Ge Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Song more than expected).
Fields of papers citing papers by Ge Song
This network shows the impact of papers produced by Ge Song. 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 Ge Song. The network helps show where Ge Song may publish in the future.
Co-authorship network of co-authors of Ge Song
This figure shows the co-authorship network connecting the top 25 collaborators of Ge Song. A scholar is included among the top collaborators of Ge Song 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 Ge Song. Ge Song 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 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 103 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 9 |
About Ge Song
Ge Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 20 papers that have together received 247 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Human Pose and Action Recognition (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Artificial Intelligence (155 citations), Computer Vision and Pattern Recognition (65 citations) and Signal Processing (30 citations). Ge Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yunming Ye, Xiaohui Huang, Guoliang Fan, Jianwu Li, Datong Liu, Wei Xie, Jingyue Pang, Yu Peng, Xiyuan Peng and Changgen Peng. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.
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.