Yibo Sun
Impact in
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- Occupational Health and Safety Research
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- Risk and Safety Analysis
Papers in
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- Natural Language Processing Techniques 8
- Topic Modeling 8
- Co-authors
- Qinggui Cao (4 shared papers)Nan Duan (6 shared papers)Duyu Tang (6 shared papers)Bing Qin (6 shared papers)Jizhou Huang (4 shared papers)Weijun Li (2 shared papers)Peng Gao (2 shared papers)Haifeng Wang (4 shared papers)
- Journals
- Journal of Applied Polymer Science (3 papers)Journal of Alloys and Compounds (2 papers)Process Safety and Environmental Protection (2 papers)Reliability Engineering & System Safety (2 papers)Journal of Loss Prevention in the Process Industries (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yibo Sun
38 papers receiving 758 citations
Peers
Comparison fields: 5 of 109
- Radiological and Ultrasound Technology 83
- Statistics, Probability and Uncertainty 124
- Medical Laboratory Technology 18
- Artificial Intelligence 286
- Transportation 37
Countries citing papers authored by Yibo Sun
This map shows the geographic impact of Yibo 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 Yibo Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yibo Sun more than expected).
Fields of papers citing papers by Yibo Sun
This network shows the impact of papers produced by Yibo 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 Yibo Sun. The network helps show where Yibo Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yibo 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 103 | |
| 2 | 2023 | 50 | |
| 3 | 2020 | 43 | |
| 4 | 2019 | 41 | |
| 5 | 2018 | 40 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 34 | |
| 8 | 2022 | 32 | |
| 9 | 2018 | 32 | |
| 10 | 2022 | 30 | |
| 11 | 2019 | 30 | |
| 12 | 2022 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2018 | 25 | |
| 16 | 2021 | 21 | |
| 17 | 2019 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 16 |
About Yibo Sun
Yibo Sun is a scholar working on Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Polymers and Plastics, having authored 43 papers that have together received 777 indexed citations. Recurring topics across this work include Risk and Safety Analysis (8 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Multimodal Machine Learning Applications (6 papers), biodegradable polymer synthesis and properties (6 papers), Polymer Foaming and Composites (5 papers), Occupational Health and Safety Research (5 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (83 citations), Statistics, Probability and Uncertainty (124 citations), Medical Laboratory Technology (18 citations), Artificial Intelligence (286 citations) and Transportation (37 citations). Yibo Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinggui Cao, Nan Duan, Duyu Tang, Bing Qin, Jizhou Huang, Weijun Li, Peng Gao, Haifeng Wang, Xiaocheng Feng and Ming Zhou. Their work appears in journals such as Journal of Applied Polymer Science, Journal of Alloys and Compounds, Process Safety and Environmental Protection, Reliability Engineering & System Safety and Journal of Loss Prevention in the Process Industries.
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.