Wei Cui
Impact in
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- Online Learning and Analytics
- Health Informatics top 10%
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 5
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- Online Learning and Analytics 6
- Co-authors
- Min Wu (7 shared papers)Zhenghua Chen (6 shared papers)Lihua Xie (4 shared papers)Dazhuo Wang (4 shared papers)Sumei Sun (4 shared papers)Bing Li (5 shared papers)Le Zhang (5 shared papers)Mingyu Feng (5 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Internet of Things Journal (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Epilepsy Research (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Wei Cui
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Computer Science Applications 179
- Health Informatics 18
- Computer Vision and Pattern Recognition 249
- Signal Processing 116
- Automotive Engineering 94
Countries citing papers authored by Wei Cui
This map shows the geographic impact of Wei 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 Wei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Cui more than expected).
Fields of papers citing papers by Wei Cui
This network shows the impact of papers produced by Wei 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 Wei Cui. The network helps show where Wei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 161 | |
| 2 | 2021 | 158 | |
| 3 | 2021 | 94 | |
| 4 | 2018 | 61 | |
| 5 | 2022 | 61 | |
| 6 | 2023 | 50 | |
| 7 | 2018 | 47 | |
| 8 | 2020 | 44 | |
| 9 | 2022 | 42 | |
| 10 | 2023 | 40 | |
| 11 | 2023 | 38 | |
| 12 | 2022 | 37 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2021 | 15 |
About Wei Cui
Wei Cui is a scholar working on Artificial Intelligence, Computer Science Applications, Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (11 papers), Speech and Audio Processing (6 papers), Online Learning and Analytics (6 papers), Wireless Networks and Protocols (5 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Electric Vehicles and Infrastructure (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Electric and Hybrid Vehicle Technologies (3 papers). The work is most often cited by research in Computer Science Applications (179 citations), Health Informatics (18 citations), Computer Vision and Pattern Recognition (249 citations), Signal Processing (116 citations) and Automotive Engineering (94 citations). Wei Cui has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Min Wu, Zhenghua Chen, Lihua Xie, Dazhuo Wang, Sumei Sun, Bing Li, Le Zhang, Mingyu Feng, Shuai Wang and Jianfei Yang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Internet of Things Journal, IEEE Transactions on Instrumentation and Measurement and Epilepsy Research.
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.