Dewei Li
Impact in
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- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 12
- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 5
- Advanced Neural Network Applications 3
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- Machine Learning and ELM 6
- Geochemistry and Geologic Mapping 4
- Co-authors
- Yingjie Tian (10 shared papers)Jingjing Tang (6 shared papers)Dalian Liu (2 shared papers)Alexander Rauscher (2 shared papers)Anthony Traboulsee (2 shared papers)Alexander L. MacKay (1 shared paper)George R. Moore (1 shared paper)Burkhard Mädler (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (2 papers)Pattern Recognition (1 paper)Journal of Computational Science (1 paper)Knowledge-Based Systems (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dewei Li
31 papers receiving 307 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 126
- Computational Mathematics 2
- Artificial Intelligence 101
- Radiology, Nuclear Medicine and Imaging 55
- Media Technology 21
Countries citing papers authored by Dewei Li
This map shows the geographic impact of Dewei Li'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 Dewei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dewei Li more than expected).
Fields of papers citing papers by Dewei Li
This network shows the impact of papers produced by Dewei Li. 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 Dewei Li. The network helps show where Dewei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dewei Li, 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 | 2008 | 75 | |
| 2 | 2018 | 43 | |
| 3 | 2019 | 27 | |
| 4 | 2017 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2013 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2007 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2020 | 3 |
About Dewei Li
Dewei Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Aerospace Engineering, having authored 37 papers that have together received 311 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Machine Learning and ELM (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Geochemistry and Geologic Mapping (4 papers), Advanced Neural Network Applications (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Computational Mathematics (2 citations), Artificial Intelligence (101 citations), Radiology, Nuclear Medicine and Imaging (55 citations) and Media Technology (21 citations). Dewei Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yingjie Tian, Jingjing Tang, Dalian Liu, Alexander Rauscher, Anthony Traboulsee, Alexander L. MacKay, George R. Moore, Burkhard Mädler, Shannon Kolind and Irene M. Vavasour. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Pattern Recognition, Journal of Computational Science, Knowledge-Based Systems and Expert Systems with Applications.
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.