Dewei Yi
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Neural Network Applications 6
- Video Surveillance and Tracking Methods 3
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- Autonomous Vehicle Technology and Safety 6
- Co-authors
- Jinya Su (13 shared papers)Wen‐Hua Chen (11 shared papers)Cunjia Liu (10 shared papers)Mehrdad Dianati (2 shared papers)Alexandros Mouzakitis (1 shared paper)Yining Hua (7 shared papers)Hanwu Yang (1 shared paper)Lei Guo (2 shared papers)
- Journals
- IEEE Transactions on Industrial Informatics (4 papers)IEEE Transactions on Systems Man and Cybernetics Systems (2 papers)Neurocomputing (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Wireless Communications and Mobile Computing (1 paper)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Dewei Yi
31 papers receiving 955 citations
Peers
Comparison fields: 5 of 99
- Automotive Engineering 222
- Computer Vision and Pattern Recognition 176
- Analytical Chemistry 64
- Safety, Risk, Reliability and Quality 58
- Information Systems 136
Countries citing papers authored by Dewei Yi
This map shows the geographic impact of Dewei Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dewei Yi more than expected).
Fields of papers citing papers by Dewei Yi
This network shows the impact of papers produced by Dewei Yi. 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 Yi. The network helps show where Dewei Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dewei Yi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 157 | |
| 2 | 2022 | 147 | |
| 3 | 2020 | 137 | |
| 4 | 2019 | 76 | |
| 5 | 2021 | 61 | |
| 6 | 2018 | 58 | |
| 7 | 2016 | 51 | |
| 8 | 2019 | 43 | |
| 9 | 2017 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2021 | 38 | |
| 12 | 2022 | 24 | |
| 13 | 2024 | 22 | |
| 14 | 2018 | 13 | |
| 15 | 2019 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2016 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 6 |
About Dewei Yi
Dewei Yi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 33 papers that have together received 987 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (6 papers), Smart Agriculture and AI (4 papers), Human-Automation Interaction and Safety (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Traffic Prediction and Management Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Automotive Engineering (222 citations), Computer Vision and Pattern Recognition (176 citations), Analytical Chemistry (64 citations), Safety, Risk, Reliability and Quality (58 citations) and Information Systems (136 citations). Dewei Yi has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Jinya Su, Wen‐Hua Chen, Cunjia Liu, Mehrdad Dianati, Alexandros Mouzakitis, Yining Hua, Hanwu Yang, Lei Guo, Mohammed Quddus and Hui Fang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Systems Man and Cybernetics Systems, Neurocomputing, IEEE Journal of Biomedical and Health Informatics and Wireless Communications and Mobile Computing.
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.