Weiwei Cui
-
- Data Visualization and Analytics 45
- Video Analysis and Summarization 17
- Signal Processing top 2%
- Data Management and Algorithms 6
- Time Series Analysis and Forecasting 6
-
- Complex Network Analysis Techniques 10
- Artificial Intelligence top 1%
- Advanced Text Analysis Techniques 12
- Topic Modeling 4
-
- Multimedia Communication and Technology 7
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer Graphics (30 papers)Computer Graphics Forum (4 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weiwei Cui
71 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 1.9k
- Signal Processing 450
- Computer Graphics and Computer-Aided Design 132
- Statistical and Nonlinear Physics 406
- Artificial Intelligence 1.1k
Countries citing papers authored by Weiwei Cui
This map shows the geographic impact of Weiwei 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 Weiwei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Cui more than expected).
Fields of papers citing papers by Weiwei Cui
This network shows the impact of papers produced by Weiwei 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 Weiwei Cui. The network helps show where Weiwei Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 22 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 13 | |
| 14 | 2017 | 19 | |
| 15 | 2012 | 64 | |
| 16 | 2011 | 32 | |
| 17 | 2011 | 272 | |
| 18 | 2010 | 138 | |
| 19 | 2010 | 1 | |
| 20 | 2009 | 31 |
About Weiwei Cui
Weiwei Cui is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Statistical and Nonlinear Physics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (45 papers), Video Analysis and Summarization (17 papers), Advanced Text Analysis Techniques (12 papers), Complex Network Analysis Techniques (10 papers), Multimedia Communication and Technology (7 papers), Data Management and Algorithms (6 papers), Time Series Analysis and Forecasting (6 papers) and Topic Modeling (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (450 citations), Computer Graphics and Computer-Aided Design (132 citations), Statistical and Nonlinear Physics (406 citations) and Artificial Intelligence (1.1k citations). Weiwei Cui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huamin Qu, Shi‐Xia Liu, Yingcai Wu, Hong Zhou, Haidong Zhang, Mengchen Liu, Dongmei Zhang, Furu Wei, Yun Wang and Conglei Shi. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, ACM Transactions on Intelligent Systems and Technology, Inflammation Research and The Visual Computer.
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.