Daoyu Lin
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Papers in
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- Data Visualization and Analytics 5
- Advanced Image Processing Techniques 5
- Advanced Vision and Imaging 4
- Advanced Image and Video Retrieval Techniques 4
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Co-authors
- Guangluan Xu (16 shared papers)Yang Wang (13 shared papers)Xian Sun (8 shared papers)Kun Fu (8 shared papers)Wenjia Xu (4 shared papers)Yunyan Zhang (2 shared papers)Chibiao Ding (2 shared papers)Jun Li (1 shared paper)
- Journals
- Applied Sciences (7 papers)IEEE Access (3 papers)Remote Sensing (2 papers)Linguistics Vanguard (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Daoyu Lin
24 papers receiving 490 citations
Peers
Comparison fields: 5 of 74
- Media Technology 277
- Computer Vision and Pattern Recognition 296
- Atmospheric Science 89
- Artificial Intelligence 104
- Health Informatics 4
Countries citing papers authored by Daoyu Lin
This map shows the geographic impact of Daoyu Lin'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 Daoyu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoyu Lin more than expected).
Fields of papers citing papers by Daoyu Lin
This network shows the impact of papers produced by Daoyu Lin. 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 Daoyu Lin. The network helps show where Daoyu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoyu Lin, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 172 | |
| 2 | 2020 | 81 | |
| 3 | 2018 | 43 | |
| 4 | 2018 | 19 | |
| 5 | 2022 | 19 | |
| 6 | 2019 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 17 | |
| 9 | Weed recognition using Image Processing technique based on Leaf Parameters | 2012 | 17 |
| 10 | 2024 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2017 | 6 | |
| 17 | Deep Unsupervised Representation Learning for Remote Sensing Images. | 2016 | 5 |
| 18 | 2019 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2019 | 4 |
About Daoyu Lin
Daoyu Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Statistical and Nonlinear Physics and Ecology, having authored 26 papers that have together received 500 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Data Visualization and Analytics (5 papers), Advanced Image Processing Techniques (5 papers), Natural Language Processing Techniques (4 papers), Advanced Vision and Imaging (4 papers), Remote-Sensing Image Classification (4 papers), Topic Modeling (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Media Technology (277 citations), Computer Vision and Pattern Recognition (296 citations), Atmospheric Science (89 citations), Artificial Intelligence (104 citations) and Health Informatics (4 citations). Daoyu Lin has collaborated with scholars based in China and United States. Frequent co-authors include Guangluan Xu, Yang Wang, Xian Sun, Kun Fu, Wenjia Xu, Yunyan Zhang, Chibiao Ding, Jun Li, Yirong Wu and Xiaoyi Tang. Their work appears in journals such as Applied Sciences, IEEE Access, Remote Sensing, Linguistics Vanguard and Neurocomputing.
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.