Sirui Chen
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
- Oncology 7
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Gaowei Xu (3 shared papers)Wenliang Che (2 shared papers)Chenxi Huang (7 shared papers)Yongshuo Zong (2 shared papers)Guokai Zhang (4 shared papers)Fei Chen (1 shared paper)Min Liu (1 shared paper)Can Yang Zhang (1 shared paper)
- Journals
- IEEE Access (4 papers)IEEE Internet of Things Journal (2 papers)Cell Proliferation (2 papers)Information Sciences (1 paper)Surgical Laparoscopy Endoscopy & Percutaneous Techniques (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Sirui Chen
57 papers receiving 996 citations
Sirui Chen's Hit Papers
Peers
Comparison fields: 5 of 162
- Cognitive Neuroscience 197
- Biochemistry 38
- Periodontics 29
- Human-Computer Interaction 33
- Signal Processing 64
Countries citing papers authored by Sirui Chen
This map shows the geographic impact of Sirui Chen'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 Sirui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sirui Chen more than expected).
Fields of papers citing papers by Sirui Chen
This network shows the impact of papers produced by Sirui Chen. 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 Sirui Chen. The network helps show where Sirui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sirui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 164 | |
| 2 | 2020 | 100 | |
| 3 | 2019 | 97 | |
| 4 | 2020 | 61 | |
| 5 | Carbon emission prediction models: A review Hit paper breakdown → | 2024 | 59 |
| 6 | 2019 | 59 | |
| 7 | 2019 | 58 | |
| 8 | 2011 | 29 | |
| 9 | 2022 | 29 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 25 | |
| 12 | 2023 | 25 | |
| 13 | 2022 | 19 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2024 | 11 |
About Sirui Chen
Sirui Chen is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Materials Chemistry, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Insect-Plant Interactions and Control (3 papers), Coronary Interventions and Diagnostics (3 papers), Vehicle emissions and performance (2 papers), Advanced Neural Network Applications (2 papers), Covalent Organic Framework Applications (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Cognitive Neuroscience (197 citations), Biochemistry (38 citations), Periodontics (29 citations), Human-Computer Interaction (33 citations) and Signal Processing (64 citations). Sirui Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Gaowei Xu, Wenliang Che, Chenxi Huang, Yongshuo Zong, Guokai Zhang, Fei Chen, Min Liu, Can Yang Zhang, E. Y. K. Ng and Wen Zhou. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Cell Proliferation, Information Sciences and Surgical Laparoscopy Endoscopy & Percutaneous Techniques.
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.