Guobin Chen
Impact in
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- Advanced Neural Network Applications
Papers in
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- Video Coding and Compression Technologies 5
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- Image and Video Quality Assessment 3
- Co-authors
- M. M. Kamruzzaman (3 shared papers)Zhihai He (1 shared paper)Tavis D. Forrester (1 shared paper)Tony Xiao Han (1 shared paper)Roland Kays (1 shared paper)Zhenjun Wang (1 shared paper)Lukun Wang (2 shared papers)Wen Zhou (1 shared paper)
- Journals
- Journal of Zhejiang University. Science A (2 papers)Journal of Visual Communication and Image Representation (2 papers)IEEE Access (2 papers)Molecular Diversity (2 papers)Nano Energy (1 paper)
- Partner nations
- ChinaSaudi ArabiaUnited States
In The Last Decade
Guobin Chen
43 papers receiving 644 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 144
- Electrochemistry 11
- Biomedical Engineering 113
- Media Technology 26
- Renewable Energy, Sustainability and the Environment 46
Countries citing papers authored by Guobin Chen
This map shows the geographic impact of Guobin Chen'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 Guobin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guobin Chen more than expected).
Fields of papers citing papers by Guobin Chen
This network shows the impact of papers produced by Guobin Chen. 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 Guobin Chen. The network helps show where Guobin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Guobin Chen, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2022 | 101 | |
| 3 | 2021 | 51 | |
| 4 | 2019 | 45 | |
| 5 | 2019 | 39 | |
| 6 | 2019 | 33 | |
| 7 | 2020 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2004 | 14 | |
| 15 | Agricultural Remote Sensing Image Cultivated Land Extraction Technology Based on Deep Learning | 2019 | 12 |
| 16 | 2020 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2006 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2014 | 5 |
About Guobin Chen
Guobin Chen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Ecology, Evolution, Behavior and Systematics, Artificial Intelligence and Media Technology, having authored 47 papers that have together received 670 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (5 papers), Fungal Plant Pathogen Control (4 papers), Image and Video Quality Assessment (3 papers), Remote-Sensing Image Classification (2 papers), Multi-Agent Systems and Negotiation (2 papers), Privacy-Preserving Technologies in Data (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Electrochemistry (11 citations), Biomedical Engineering (113 citations), Media Technology (26 citations) and Renewable Energy, Sustainability and the Environment (46 citations). Guobin Chen has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include M. M. Kamruzzaman, Zhihai He, Tavis D. Forrester, Tony Xiao Han, Roland Kays, Zhenjun Wang, Lukun Wang, Wen Zhou, Shuangshuang Liu and Sida Liu. Their work appears in journals such as Journal of Zhejiang University. Science A, Journal of Visual Communication and Image Representation, IEEE Access, Molecular Diversity and Nano Energy.
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.