Li Cui
Impact in
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- Advanced Neural Network Applications
Papers in
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- Energy Efficient Wireless Sensor Networks 9
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- Advanced Neural Network Applications 4
- Co-authors
- Zhenhe Zhou (1 shared paper)Jun Wang (1 shared paper)Fang Yu (8 shared papers)Lei Zhang (1 shared paper)Rui Wang (2 shared papers)Yongqiang Qin (1 shared paper)Kejiang Xiao (4 shared papers)Ye Zheng (1 shared paper)
- Journals
- Scientific Reports (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Coastal Research (1 paper)Frontiers in Behavioral Neuroscience (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Cui
37 papers receiving 356 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 103
- Applied Psychology 18
- Computational Mathematics 2
- Artificial Intelligence 100
- Computer Networks and Communications 63
Countries citing papers authored by Li Cui
This map shows the geographic impact of Li Cui'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 Li Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Cui more than expected).
Fields of papers citing papers by Li Cui
This network shows the impact of papers produced by Li Cui. 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 Li Cui. The network helps show where Li Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Cui, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2020 | 42 | |
| 3 | Real-time Traffic Monitoring with Magnetic Sensor Networks * | 2011 | 38 |
| 4 | 2021 | 33 | |
| 5 | 2013 | 26 | |
| 6 | 2019 | 21 | |
| 7 | 2023 | 15 | |
| 8 | Forecast-based temporal data aggregation in wireless sensor networks | 2007 | 12 |
| 9 | 2008 | 12 | |
| 10 | 2014 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2006 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2012 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Li Cui
Li Cui is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Electrical and Electronic Engineering, having authored 38 papers that have together received 369 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (9 papers), Indoor and Outdoor Localization Technologies (5 papers), Advanced Neural Network Applications (4 papers), Water Quality Monitoring Technologies (4 papers), Stroke Rehabilitation and Recovery (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (103 citations), Applied Psychology (18 citations), Computational Mathematics (2 citations), Artificial Intelligence (100 citations) and Computer Networks and Communications (63 citations). Li Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhenhe Zhou, Jun Wang, Fang Yu, Lei Zhang, Rui Wang, Yongqiang Qin, Kejiang Xiao, Ye Zheng, Lei Zhang and Xueyuan Zhang. Their work appears in journals such as Scientific Reports, IEEE Transactions on Intelligent Transportation Systems, Journal of Coastal Research, Frontiers in Behavioral Neuroscience and IEEE Internet of Things Journal.
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.