Xiaojing Gao
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Chaos control and synchronization (24 papers)Nonlinear Dynamics and Pattern Formation (14 papers)Neural Networks and Reservoir Computing (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsOptics Letters
In The Last Decade
Xiaojing Gao
27 papers receiving 369 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 235
- Computer Networks and Communications 155
- Electrical and Electronic Engineering 151
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 119
Countries citing papers authored by Xiaojing Gao
This map shows the geographic impact of Xiaojing 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 Xiaojing Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Gao more than expected).
Fields of papers citing papers by Xiaojing Gao
This network shows the impact of papers produced by Xiaojing 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 Xiaojing Gao. The network helps show where Xiaojing Gao may publish in the future.
Co-authorship network of co-authors of Xiaojing Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Gao. A scholar is included among the top collaborators of Xiaojing 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 Xiaojing Gao. Xiaojing 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 32 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 29 | |
| 15 | 2 | |
| 16 | 29 | |
| 17 | 6 | |
| 18 | 25 | |
| 19 | 16 | |
| 20 | 8 |
About Xiaojing Gao
Xiaojing Gao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 29 papers that have together received 398 indexed citations. Recurring topics across this work include Chaos control and synchronization (24 papers), Nonlinear Dynamics and Pattern Formation (14 papers) and Neural Networks and Reservoir Computing (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (235 citations), Computer Networks and Communications (155 citations) and Computer Vision and Pattern Recognition (119 citations). Xiaojing Gao has collaborated with scholars based in China and Singapore. Frequent co-authors include Mengfan Cheng, Lei Deng, Hanping Hu, Deming Liu, Songnian Fu, Lingfeng Liu, Suoxia Miao, Minming Zhang, Perry Ping Shum and Hao Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Letters.
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.