Junqi Wang
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Functional Brain Connectivity Studies 11
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- Computational Drug Discovery Methods 3
- Co-authors
- Yu‐Ping Wang (7 shared papers)Li Xiao (6 shared papers)Vince D. Calhoun (6 shared papers)Gang Qu (5 shared papers)Hailong Li (5 shared papers)Tony W. Wilson (5 shared papers)Julia M. Stephen (5 shared papers)Yuntong Bai (2 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (2 papers)IEEE Transactions on Medical Imaging (2 papers)NeuroImage (2 papers)Communications Biology (1 paper)Analytical Methods (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Junqi Wang
17 papers receiving 276 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 153
- Health Informatics 11
- Artificial Intelligence 58
- Psychiatry and Mental health 19
- Neurology 7
Countries citing papers authored by Junqi Wang
This map shows the geographic impact of Junqi Wang'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 Junqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqi Wang more than expected).
Fields of papers citing papers by Junqi Wang
This network shows the impact of papers produced by Junqi Wang. 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 Junqi Wang. The network helps show where Junqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junqi Wang, 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 | 2019 | 84 | |
| 2 | 2021 | 39 | |
| 3 | 2023 | 39 | |
| 4 | 2023 | 38 | |
| 5 | 2021 | 26 | |
| 6 | 2023 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2018 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Junqi Wang
Junqi Wang is a scholar working on Cognitive Neuroscience, Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Safety Research, having authored 18 papers that have together received 285 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Computational Drug Discovery Methods (3 papers), Infant Development and Preterm Care (2 papers), Ethics and Social Impacts of AI (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Neonatal and fetal brain pathology (1 paper), Topic Modeling (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (153 citations), Health Informatics (11 citations), Artificial Intelligence (58 citations), Psychiatry and Mental health (19 citations) and Neurology (7 citations). Junqi Wang has collaborated with scholars based in United States and China. Frequent co-authors include Yu‐Ping Wang, Li Xiao, Vince D. Calhoun, Gang Qu, Hailong Li, Tony W. Wilson, Julia M. Stephen, Yuntong Bai, Kun Zhang and Wenxing Hu. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging, NeuroImage, Communications Biology and Analytical Methods.
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.