Bingyu Sun
Impact in
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
Papers in
- Food Science 28
- Proteins in Food Systems 23
- Microencapsulation and Drying Processes 5
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- Advanced Computational Techniques and Applications 5
- Co-authors
- Jiuyong Li (12 shared papers)Hailei Wang (5 shared papers)Zhiqiang Du (4 shared papers)Feng Ling (3 shared papers)Yuanmiao Gui (3 shared papers)Dongbo Zhou (2 shared papers)De-Shuang Huang (3 shared papers)Rujing Wang (13 shared papers)
- Journals
- LWT (4 papers)Energy (3 papers)Foods (3 papers)Engineering Failure Analysis (2 papers)Bioinformatics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bingyu Sun
100 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 154
- Global and Planetary Change 518
- Environmental Engineering 274
- Media Technology 163
- Water Science and Technology 225
- Computer Vision and Pattern Recognition 287
Countries citing papers authored by Bingyu Sun
This map shows the geographic impact of Bingyu Sun'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 Bingyu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingyu Sun more than expected).
Fields of papers citing papers by Bingyu Sun
This network shows the impact of papers produced by Bingyu Sun. 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 Bingyu Sun. The network helps show where Bingyu Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingyu Sun, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 348 | |
| 2 | 2014 | 180 | |
| 3 | 2017 | 167 | |
| 4 | 2004 | 149 | |
| 5 | 2012 | 124 | |
| 6 | 2014 | 101 | |
| 7 | 2009 | 95 | |
| 8 | 2009 | 83 | |
| 9 | 2014 | 67 | |
| 10 | 2013 | 64 | |
| 11 | 2020 | 64 | |
| 12 | 2023 | 62 | |
| 13 | 2016 | 56 | |
| 14 | 2009 | 55 | |
| 15 | 2005 | 48 | |
| 16 | 2022 | 40 | |
| 17 | 2007 | 38 | |
| 18 | 2020 | 37 | |
| 19 | 2023 | 36 | |
| 20 | 2010 | 30 |
About Bingyu Sun
Bingyu Sun is a scholar working on Food Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Molecular Biology, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Proteins in Food Systems (23 papers), Face and Expression Recognition (12 papers), Meat and Animal Product Quality (9 papers), Food composition and properties (8 papers), Methane Hydrates and Related Phenomena (6 papers), Microencapsulation and Drying Processes (5 papers), Advanced Algorithms and Applications (5 papers) and Advanced Computational Techniques and Applications (5 papers). The work is most often cited by research in Global and Planetary Change (518 citations), Environmental Engineering (274 citations), Media Technology (163 citations), Water Science and Technology (225 citations) and Computer Vision and Pattern Recognition (287 citations). Bingyu Sun has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiuyong Li, Hailei Wang, Zhiqiang Du, Feng Ling, Yuanmiao Gui, Dongbo Zhou, De-Shuang Huang, Rujing Wang, Zhong‐Qiu Zhao and Thuc Duy Le. Their work appears in journals such as LWT, Energy, Foods, Engineering Failure Analysis and Bioinformatics.
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.