Tang Chao
About
In The Last Decade
Tang Chao
3 papers receiving 386 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 280
- Computer Vision and Pattern Recognition 122
- Atomic and Molecular Physics, and Optics 92
- Cellular and Molecular Neuroscience 52
- Media Technology 45
Countries citing papers authored by Tang Chao
This map shows the geographic impact of Tang Chao'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 Tang Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tang Chao more than expected).
Fields of papers citing papers by Tang Chao
This network shows the impact of papers produced by Tang Chao. 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 Tang Chao. The network helps show where Tang Chao may publish in the future.
Co-authorship network of co-authors of Tang Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Tang Chao. A scholar is included among the top collaborators of Tang Chao 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 Tang Chao. Tang Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Empirical Study on the Evolution of Web Influence of Unexpected Mass Disturbances | 1 |
| 2 | 393 | |
| 3 | 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.