Qin Shi
- Materials Chemistry
- Safety, Risk, Reliability and Quality top 5%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Organic Chemistry
- Co-authors
- E. T. KangGuoliang LiShaojun YuanK. G. NeohXinlin YangKing‐Sun FuFei TangQiang Wang
- Topics
- Advanced MEMS and NEMS Technologies (4 papers)Acoustic Wave Resonator Technologies (3 papers)Mechanical and Optical Resonators (3 papers)
- Cited by
- Safety, Risk, Reliability and QualityRenewable Energy, Sustainability and the EnvironmentSurfaces, Coatings and Films
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceChemistry of MaterialsIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qin Shi
19 papers receiving 313 citations
Peers
Comparison fields: 5 of 57
- Materials Chemistry 132
- Safety, Risk, Reliability and Quality 57
- Renewable Energy, Sustainability and the Environment 56
- Electrical and Electronic Engineering 44
- Organic Chemistry 44
Countries citing papers authored by Qin Shi
This map shows the geographic impact of Qin Shi'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 Qin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Shi more than expected).
Fields of papers citing papers by Qin Shi
This network shows the impact of papers produced by Qin Shi. 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 Qin Shi. The network helps show where Qin Shi may publish in the future.
Co-authorship network of co-authors of Qin Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qin Shi. A scholar is included among the top collaborators of Qin Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qin Shi. Qin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 56 | |
| 14 | 12 | |
| 15 | 102 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 30 |
About Qin Shi
Qin Shi is a scholar working on Computer Vision and Pattern Recognition, Software and Mechanical Engineering, having authored 25 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (4 papers), Acoustic Wave Resonator Technologies (3 papers) and Mechanical and Optical Resonators (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (57 citations), Renewable Energy, Sustainability and the Environment (56 citations) and Surfaces, Coatings and Films (21 citations). Qin Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include E. T. Kang, Guoliang Li, Shaojun Yuan, K. G. Neoh, Xinlin Yang, King‐Sun Fu, Fei Tang, Qiang Wang, Yali Guo and Shanglong Peng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemistry of Materials and IEEE Transactions on Industrial Electronics.
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.