Yiwei Sun
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
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- Graphene research and applications 21
- Carbon Nanotubes in Composites 11
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- Inorganic Fluorides and Related Compounds 8
- Co-authors
- Suhang Wang (10 shared papers)Xianfeng Tang (5 shared papers)Vasant Honavar (10 shared papers)David James Dunstan (16 shared papers)Tsung-Yu Hsieh (8 shared papers)Huaxiu Yao (2 shared papers)Prasenjit Mitra (2 shared papers)Dimitrios G. Papageorgiou (5 shared papers)
- Journals
- Nanoscale (4 papers)Physical review. B. (4 papers)ChemSusChem (2 papers)Applied Catalysis B: Environmental (2 papers)Journal of environmental chemical engineering (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yiwei Sun
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 413
- Signal Processing 125
- Materials Chemistry 443
- Radiological and Ultrasound Technology 30
- Statistical and Nonlinear Physics 67
Countries citing papers authored by Yiwei Sun
This map shows the geographic impact of Yiwei 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 Yiwei Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Sun more than expected).
Fields of papers citing papers by Yiwei Sun
This network shows the impact of papers produced by Yiwei 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 Yiwei Sun. The network helps show where Yiwei Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 124 | |
| 2 | 2020 | 118 | |
| 3 | 2020 | 110 | |
| 4 | 2020 | 98 | |
| 5 | 2020 | 82 | |
| 6 | 2019 | 53 | |
| 7 | 2018 | 46 | |
| 8 | 2024 | 45 | |
| 9 | 2021 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2017 | 42 | |
| 12 | 2019 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2021 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2018 | 30 | |
| 17 | 2019 | 29 | |
| 18 | 2020 | 26 | |
| 19 | 2024 | 26 | |
| 20 | 2020 | 22 |
About Yiwei Sun
Yiwei Sun is a scholar working on Materials Chemistry, Inorganic Chemistry, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Graphene research and applications (21 papers), Carbon Nanotubes in Composites (11 papers), Inorganic Fluorides and Related Compounds (8 papers), Graphene and Nanomaterials Applications (4 papers), Advanced Graph Neural Networks (4 papers), Human-Automation Interaction and Safety (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Artificial Intelligence (413 citations), Signal Processing (125 citations), Materials Chemistry (443 citations), Radiological and Ultrasound Technology (30 citations) and Statistical and Nonlinear Physics (67 citations). Yiwei Sun has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Suhang Wang, Xianfeng Tang, Vasant Honavar, David James Dunstan, Tsung-Yu Hsieh, Huaxiu Yao, Prasenjit Mitra, Dimitrios G. Papageorgiou, Enyan Dai and Colin John Humphreys. Their work appears in journals such as Nanoscale, Physical review. B., ChemSusChem, Applied Catalysis B: Environmental and Journal of environmental chemical engineering.
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.