Kexiang Wang
About
In The Last Decade
Kexiang Wang
9 papers receiving 351 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 245
- Computer Vision and Pattern Recognition 92
- Computer Graphics and Computer-Aided Design 87
- Computational Mechanics 84
- Information Systems 28
Countries citing papers authored by Kexiang Wang
This map shows the geographic impact of Kexiang Wang'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 Kexiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kexiang Wang more than expected).
Fields of papers citing papers by Kexiang Wang
This network shows the impact of papers produced by Kexiang Wang. 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 Kexiang Wang. The network helps show where Kexiang Wang may publish in the future.
Co-authorship network of co-authors of Kexiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kexiang Wang. A scholar is included among the top collaborators of Kexiang Wang 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 Kexiang Wang. Kexiang Wang 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 | 8 | |
| 3 | 135 | |
| 4 | 9 | |
| 5 | 94 | |
| 6 | 46 | |
| 7 | 34 | |
| 8 | 34 | |
| 9 | 9 |
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.