Xin An
About
In The Last Decade
Xin An
30 papers receiving 625 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 179
- Statistics, Probability and Uncertainty 106
- Computer Vision and Pattern Recognition 73
- Molecular Biology 69
- Management of Technology and Innovation 53
Countries citing papers authored by Xin An
This map shows the geographic impact of Xin An'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 Xin An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin An more than expected).
Fields of papers citing papers by Xin An
This network shows the impact of papers produced by Xin An. 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 Xin An. The network helps show where Xin An may publish in the future.
Co-authorship network of co-authors of Xin An
This figure shows the co-authorship network connecting the top 25 collaborators of Xin An. A scholar is included among the top collaborators of Xin An 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 Xin An. Xin An 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 | 0 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | A Novel Approach for Patent Similarity Measurement Based on Sequence Alignment. | 1 |
| 13 | 35 | |
| 14 | 13 | |
| 15 | 47 | |
| 16 | [Multi-task least-squares support vector regression machines and their applications in NIR spectral analysis]. | 2 |
| 17 | Semi-supervised Least-squares Support Vector Regression Machines ★ | 16 |
| 18 | 1 | |
| 19 | [Multiple dependent variables LS-SVM regression algorithm and its application in NIR spectral quantitative analysis]. | 8 |
| 20 | 1 |
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.