Shaoming Xu
About
In The Last Decade
Shaoming Xu
13 papers receiving 653 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Environmental Engineering 116
- Artificial Intelligence 110
- Statistical and Nonlinear Physics 107
- Global and Planetary Change 91
- Mechanical Engineering 82
Countries citing papers authored by Shaoming Xu
This map shows the geographic impact of Shaoming Xu'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 Shaoming Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoming Xu more than expected).
Fields of papers citing papers by Shaoming Xu
This network shows the impact of papers produced by Shaoming Xu. 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 Shaoming Xu. The network helps show where Shaoming Xu may publish in the future.
Co-authorship network of co-authors of Shaoming Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoming Xu. A scholar is included among the top collaborators of Shaoming Xu 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 Shaoming Xu. Shaoming Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems breakdown → | 60 |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems breakdown → | 317 |
| 7 | 33 | |
| 8 | 14 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | Integrating Physics-Based Modeling with Machine Learning: A Survey | 187 |
| 13 | 13 |
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.