Cunbo Li
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Emotion and Mood Recognition
Papers in
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- EEG and Brain-Computer Interfaces 25
- Functional Brain Connectivity Studies 14
- Neural dynamics and brain function 12
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- Emotion and Mood Recognition 7
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (3 papers)Biomedical Signal Processing and Control (3 papers)Cell Death Discovery (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Cunbo Li
34 papers receiving 849 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 649
- Experimental and Cognitive Psychology 266
- Human-Computer Interaction 59
- Signal Processing 62
- Computational Mathematics 3
Countries citing papers authored by Cunbo Li
This map shows the geographic impact of Cunbo Li'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 Cunbo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunbo Li more than expected).
Fields of papers citing papers by Cunbo Li
This network shows the impact of papers produced by Cunbo Li. 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 Cunbo Li. The network helps show where Cunbo Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cunbo Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 28 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 66 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 15 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 10 | |
| 17 | EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations Hit paper breakdown → | 2019 | 304 |
| 18 | 2017 | 7 | |
| 19 | 2015 | 29 | |
| 20 | 2011 | 19 |
About Cunbo Li
Cunbo Li is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Signal Processing, Developmental Neuroscience and Physiology, having authored 37 papers that have together received 855 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (12 papers), Emotion and Mood Recognition (7 papers), Blind Source Separation Techniques (4 papers), Neuroscience and Neural Engineering (3 papers), Advanced Memory and Neural Computing (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Cognitive Neuroscience (649 citations), Experimental and Cognitive Psychology (266 citations), Human-Computer Interaction (59 citations), Signal Processing (62 citations) and Computational Mathematics (3 citations). Cunbo Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peng Xu, Peiyang Li, Fali Li, Xuyang Zhu, Yajing Si, Dezhong Yao, Yangsong Zhang, Dezhong Yao, Xiaoye Huang and Ying Zeng. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biomedical Signal Processing and Control, Cell Death Discovery and Scientific Reports.
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.