Ying Gu
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Psychiatry and Mental health top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Dario FarinaKim DremstrupWim Van PaesschenSabine Van HuffelKasper ClaesEvy CleerenBorbála HunyadiThomas De Cooman
- Topics
- EEG and Brain-Computer Interfaces (10 papers)Neuroscience and Neural Engineering (6 papers)Muscle activation and electromyography studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsClinical Neurophysiology
In The Last Decade
Ying Gu
16 papers receiving 488 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 421
- Cellular and Molecular Neuroscience 187
- Biomedical Engineering 157
- Psychiatry and Mental health 98
- Cardiology and Cardiovascular Medicine 91
Countries citing papers authored by Ying Gu
This map shows the geographic impact of Ying Gu'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 Ying Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Gu more than expected).
Fields of papers citing papers by Ying Gu
This network shows the impact of papers produced by Ying Gu. 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 Ying Gu. The network helps show where Ying Gu may publish in the future.
Co-authorship network of co-authors of Ying Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Gu. A scholar is included among the top collaborators of Ying Gu 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 Ying Gu. Ying Gu 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 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 136 | |
| 10 | 106 | |
| 11 | 23 | |
| 12 | Feature selection strategy for classification of single-trial EEG elicited by motor imagery | 5 |
| 13 | 100 | |
| 14 | 39 | |
| 15 | 51 | |
| 16 | A real-time brain-computer interface based on steady-state visual evoked potentials | 8 |
About Ying Gu
Ying Gu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 505 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Neuroscience and Neural Engineering (6 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (421 citations), Cellular and Molecular Neuroscience (187 citations) and Human-Computer Interaction (49 citations). Ying Gu has collaborated with scholars based in Denmark, Belgium and France. Frequent co-authors include Dario Farina, Kim Dremstrup, Wim Van Paesschen, Sabine Van Huffel, Kasper Claes, Evy Cleeren, Borbála Hunyadi, Thomas De Cooman, Kaat Vandecasteele and Jonathan Dan. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Clinical Neurophysiology.
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.