Siuly Siuly
Impact in
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Signal Processing top 0.5%
- Blind Source Separation Techniques
Papers in
-
- EEG and Brain-Computer Interfaces 74
- Functional Brain Connectivity Studies 16
- Neural dynamics and brain function 5
-
- Blind Source Separation Techniques 29
- Co-authors
- Yanchun ZhangYan LiHua WangPeng WenVarun BajajEnamul KabirSupriya SupriyaMuhammad Tariq Sadiq
In The Last Decade
Siuly Siuly
90 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 154
- Cognitive Neuroscience 3.1k
- Signal Processing 1.2k
- Human-Computer Interaction 285
- Cardiology and Cardiovascular Medicine 814
- Neurology 266
Countries citing papers authored by Siuly Siuly
This map shows the geographic impact of Siuly Siuly'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 Siuly Siuly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siuly Siuly more than expected).
Fields of papers citing papers by Siuly Siuly
This network shows the impact of papers produced by Siuly Siuly. 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 Siuly Siuly. The network helps show where Siuly Siuly may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Siuly Siuly, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 24 | |
| 7 | 2023 | 32 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 71 | |
| 15 | 2019 | 25 | |
| 16 | 2018 | 66 | |
| 17 | 2017 | 20 | |
| 18 | 2015 | 77 | |
| 19 | 2012 | 150 | |
| 20 | 2010 | 179 |
About Siuly Siuly
Siuly Siuly is a scholar working on Cognitive Neuroscience, Signal Processing, Human-Computer Interaction, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 91 papers that have together received 3.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (74 papers), Blind Source Separation Techniques (29 papers), ECG Monitoring and Analysis (25 papers), Functional Brain Connectivity Studies (16 papers), Neuroscience and Neural Engineering (14 papers), Gaze Tracking and Assistive Technology (9 papers), Neural dynamics and brain function (5 papers) and Advanced Chemical Sensor Technologies (5 papers). The work is most often cited by research in Cognitive Neuroscience (3.1k citations), Signal Processing (1.2k citations), Human-Computer Interaction (285 citations), Cardiology and Cardiovascular Medicine (814 citations) and Neurology (266 citations). Siuly Siuly has collaborated with scholars based in Australia, China and Türkiye. Frequent co-authors include Yanchun Zhang, Yan Li, Hua Wang, Peng Wen, Varun Bajaj, Enamul Kabir, Supriya Supriya, Yan Li, Muhammad Tariq Sadiq and Abdulkadir Şengür. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Health Information Science and Systems, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Measurement and Electronics 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.