Tao Shi
- Environmental Engineering top 5%
- Global and Planetary Change top 10%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Noel CressieEmily L. KangJonathan R. BradleyMikhail A. BelkinBin YuQiang ZhangFan WangJungong Han
- Topics
- Atmospheric aerosols and clouds (9 papers)Soil Geostatistics and Mapping (8 papers)Atmospheric and Environmental Gas Dynamics (7 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Tao Shi
43 papers receiving 573 citations
Peers
Comparison fields: 5 of 94
- Environmental Engineering 218
- Global and Planetary Change 154
- Artificial Intelligence 126
- Economics and Econometrics 116
- Computer Vision and Pattern Recognition 115
Countries citing papers authored by Tao Shi
This map shows the geographic impact of Tao 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 Tao Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Shi more than expected).
Fields of papers citing papers by Tao Shi
This network shows the impact of papers produced by Tao 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 Tao Shi. The network helps show where Tao Shi may publish in the future.
Co-authorship network of co-authors of Tao Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Shi. A scholar is included among the top collaborators of Tao 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 Tao Shi. Tao 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 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 56 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | Local spatial-predictor selection | 3 |
| 12 | 5 | |
| 13 | Cairn detection in southern arabia using a supervised automatic detection algorithm and multiple sample data spectroscopic clustering | 1 |
| 14 | 55 | |
| 15 | 44 | |
| 16 | 48 | |
| 17 | 18 | |
| 18 | 18 | |
| 19 | Polar cloud detection using satellite data with analysis and application of kernel learning algorithms | 1 |
| 20 | The design of a hypermedia knowledge base for promoting the transfer of knowledge and skills | 0 |
About Tao Shi
Tao Shi is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Media Technology, having authored 46 papers that have together received 599 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (9 papers), Soil Geostatistics and Mapping (8 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). The work is most often cited by research in Environmental Engineering (218 citations), Statistics and Probability (85 citations) and Media Technology (85 citations). Tao Shi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Noel Cressie, Emily L. Kang, Jonathan R. Bradley, Mikhail A. Belkin, Bin Yu, Qiang Zhang, Fan Wang, Jungong Han, Rick S. Blum and Ningchuan Xiao. Their work appears in journals such as Journal of the American Statistical Association, Remote Sensing of Environment and IEEE Access.
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.