Yun Shi
- Plant Science top 10%
- Organic Chemistry top 10%
- Ecology top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Nathan D. ShapiroF. Dean TosteShunping JiChi ZhangAnjian XuYulin DuanChuanlei ZhangShanwen Zhang
- Topics
- GNSS positioning and interference (13 papers)Statistical and numerical algorithms (6 papers)Soil Geostatistics and Mapping (6 papers)
- Journals
- NatureJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yun Shi
86 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Plant Science 357
- Organic Chemistry 282
- Ecology 258
- Molecular Biology 215
- Computer Vision and Pattern Recognition 204
Countries citing papers authored by Yun Shi
This map shows the geographic impact of Yun 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 Yun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Shi more than expected).
Fields of papers citing papers by Yun Shi
This network shows the impact of papers produced by Yun 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 Yun Shi. The network helps show where Yun Shi may publish in the future.
Co-authorship network of co-authors of Yun Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Shi. A scholar is included among the top collaborators of Yun 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 Yun Shi. Yun 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 198 | |
| 15 | Study on Cachability of Web Objects and Acceleration Method | 1 |
| 16 | Building Math Confidence in Classroom Learning Using Microsoft Excel | 1 |
| 17 | 1 | |
| 18 | The analytic method for initial value problem of system of first order ordinary differential equations | 0 |
| 19 | 34 | |
| 20 | 6 |
About Yun Shi
Yun Shi is a scholar working on Acoustics and Ultrasonics, Environmental Engineering and Aerospace Engineering, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include GNSS positioning and interference (13 papers), Statistical and numerical algorithms (6 papers) and Soil Geostatistics and Mapping (6 papers). The work is most often cited by research in Media Technology (156 citations), Analytical Chemistry (145 citations) and Environmental Engineering (143 citations). Yun Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Nathan D. Shapiro, F. Dean Toste, Shunping Ji, Chi Zhang, Anjian Xu, Yulin Duan, Chuanlei Zhang, Shanwen Zhang, Subing Zhang and Xianfeng Wang. Their work appears in journals such as Nature, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.