Ruwei Dai
Impact in
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- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- Advanced Text Analysis Techniques 6
- Advanced Computational Techniques and Applications 5
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- Handwritten Text Recognition Techniques 17
- Image Retrieval and Classification Techniques 12
- Image Processing and 3D Reconstruction 7
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Jie Tian (15 shared papers)Chunheng Wang (9 shared papers)Chunmei Liu (2 shared papers)Lijun Bai (11 shared papers)Qiudan Li (4 shared papers)Qingliang Miao (3 shared papers)Baihua Xiao (7 shared papers)Zhenyu Liu (10 shared papers)
In The Last Decade
Ruwei Dai
66 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 394
- Cognitive Neuroscience 266
- Complementary and alternative medicine 103
- Media Technology 90
- Signal Processing 104
Countries citing papers authored by Ruwei Dai
This map shows the geographic impact of Ruwei Dai'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 Ruwei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruwei Dai more than expected).
Fields of papers citing papers by Ruwei Dai
This network shows the impact of papers produced by Ruwei Dai. 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 Ruwei Dai. The network helps show where Ruwei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruwei Dai, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 110 | |
| 2 | 2012 | 105 | |
| 3 | 2008 | 82 | |
| 4 | 2007 | 74 | |
| 5 | 2015 | 69 | |
| 6 | 2013 | 61 | |
| 7 | 2012 | 52 | |
| 8 | 2013 | 50 | |
| 9 | 2011 | 41 | |
| 10 | 2014 | 40 | |
| 11 | Preprocessing and statistical/structural feature extraction for handwritten numeral recognition | 1997 | 35 |
| 12 | 2013 | 32 | |
| 13 | 2009 | 30 | |
| 14 | 2013 | 28 | |
| 15 | 2015 | 20 | |
| 16 | 1997 | 20 | |
| 17 | 2002 | 18 | |
| 18 | 2007 | 18 | |
| 19 | 2012 | 16 | |
| 20 | 2008 | 12 |
About Ruwei Dai
Ruwei Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers), Image Processing and 3D Reconstruction (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Functional Brain Connectivity Studies (7 papers), Traditional Chinese Medicine Studies (6 papers), Advanced Text Analysis Techniques (6 papers) and Advanced Computational Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (394 citations), Cognitive Neuroscience (266 citations), Complementary and alternative medicine (103 citations), Media Technology (90 citations) and Signal Processing (104 citations). Ruwei Dai has collaborated with scholars based in China, Taiwan and India. Frequent co-authors include Jie Tian, Chunheng Wang, Chunmei Liu, Lijun Bai, Qiudan Li, Qingliang Miao, Baihua Xiao, Zhenyu Liu, Youbo You and Wen‐Juan Wei. Their work appears in journals such as PLoS ONE, International Journal of Information Technology & Decision Making, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Information Sciences and NMR in Biomedicine.
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.