Lin Cui
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Advanced Graph Neural Networks 8
- Sentiment Analysis and Opinion Mining 6
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- Recommender Systems and Techniques 7
- Co-authors
- Dechang Pi (13 shared papers)Jia Wu (6 shared papers)Chenglong Dai (5 shared papers)Bentian Li (2 shared papers)Blake W. Johnson (3 shared papers)Stefanie I. Becker (3 shared papers)Zhiwei Zhang (7 shared papers)Chuanming Chen (1 shared paper)
- Journals
- IEEE Access (4 papers)Journal of Network and Computer Applications (2 papers)Applied Soft Computing (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Information Fusion (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lin Cui
31 papers receiving 313 citations
Lin Cui's Hit Papers
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 69
- Signal Processing 56
- Artificial Intelligence 136
- Information Systems 81
- Transportation 21
Countries citing papers authored by Lin Cui
This map shows the geographic impact of Lin 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 Lin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Cui more than expected).
Fields of papers citing papers by Lin Cui
This network shows the impact of papers produced by Lin 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 Lin Cui. The network helps show where Lin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 35 | |
| 2 | 2020 | 33 | |
| 3 | 2018 | 32 | |
| 4 | 2015 | 23 | |
| 5 | RMER-DT: Robust multimodal emotion recognition in conversational contexts based on diffusion and transformers Hit paper breakdown → | 2025 | 22 |
| 6 | 2020 | 22 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2017 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2012 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2017 | 5 | |
| 20 | 2018 | 5 |
About Lin Cui
Lin Cui is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Control and Systems Engineering and Signal Processing, having authored 37 papers that have together received 329 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (8 papers), Recommender Systems and Techniques (7 papers), Advanced Algorithms and Applications (6 papers), Sentiment Analysis and Opinion Mining (6 papers), EEG and Brain-Computer Interfaces (5 papers), Time Series Analysis and Forecasting (5 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (69 citations), Signal Processing (56 citations), Artificial Intelligence (136 citations), Information Systems (81 citations) and Transportation (21 citations). Lin Cui has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dechang Pi, Jia Wu, Chenglong Dai, Bentian Li, Blake W. Johnson, Stefanie I. Becker, Zhiwei Zhang, Chuanming Chen, Izhar Ahmed Khan and Peng Zhang. Their work appears in journals such as IEEE Access, Journal of Network and Computer Applications, Applied Soft Computing, International Journal of Machine Learning and Cybernetics and Information Fusion.
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.