Ke Tang
About
In The Last Decade
Ke Tang
268 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 6.5k
- Computational Theory and Mathematics 4.6k
- Industrial and Manufacturing Engineering 1.1k
- Computer Vision and Pattern Recognition 801
- Computer Networks and Communications 750
Countries citing papers authored by Ke Tang
This map shows the geographic impact of Ke Tang'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 Ke Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Tang more than expected).
Fields of papers citing papers by Ke Tang
This network shows the impact of papers produced by Ke Tang. 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 Ke Tang. The network helps show where Ke Tang may publish in the future.
Co-authorship network of co-authors of Ke Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Tang. A scholar is included among the top collaborators of Ke Tang 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 Ke Tang. Ke Tang 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 | 17 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 40 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 8 | |
| 14 | 40 | |
| 15 | 19 | |
| 16 | Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions | 10 |
| 17 | 33 | |
| 18 | 57 | |
| 19 | 52 | |
| 20 | Active learning from crowds with unsure option | 31 |
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.