Xiaorong Gao
- Cognitive Neuroscience top 0.05%
- Cellular and Molecular Neuroscience top 0.1%
- Electrical and Electronic Engineering top 1%
- Signal Processing top 0.2%
- Human-Computer Interaction top 0.05%
- Co-authors
- Shangkai GaoYijun WangXiaogang ChenBo HongWei WuTzyy‐Ping JungZhonglin LinChangshui Zhang
- Topics
- EEG and Brain-Computer Interfaces (198 papers)Neural dynamics and brain function (110 papers)Neuroscience and Neural Engineering (103 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaorong Gao
256 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cognitive Neuroscience 9.8k
- Cellular and Molecular Neuroscience 5.6k
- Electrical and Electronic Engineering 2.6k
- Signal Processing 2.1k
- Human-Computer Interaction 2.0k
Countries citing papers authored by Xiaorong Gao
This map shows the geographic impact of Xiaorong 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 Xiaorong Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorong Gao more than expected).
Fields of papers citing papers by Xiaorong Gao
This network shows the impact of papers produced by Xiaorong 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 Xiaorong Gao. The network helps show where Xiaorong Gao may publish in the future.
Co-authorship network of co-authors of Xiaorong Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Gao. A scholar is included among the top collaborators of Xiaorong 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 Xiaorong Gao. Xiaorong 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 25 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 70 | |
| 15 | 9 | |
| 16 | 79 | |
| 17 | 122 | |
| 18 | 83 | |
| 19 | 1 | |
| 20 | Steady state visual evoked potential measurement using a phase-locking method | 1 |
About Xiaorong Gao
Xiaorong Gao is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 266 papers that have together received 10.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (198 papers), Neural dynamics and brain function (110 papers) and Neuroscience and Neural Engineering (103 papers). The work is most often cited by research in Cognitive Neuroscience (9.8k citations), Human-Computer Interaction (2.0k citations) and Cellular and Molecular Neuroscience (5.6k citations). Xiaorong Gao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shangkai Gao, Yijun Wang, Xiaogang Chen, Bo Hong, Wei Wu, Tzyy‐Ping Jung, Zhonglin Lin, Changshui Zhang, Guangyu Bin and Masaki Nakanishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.