Tianbiao Yang
About
In The Last Decade
Tianbiao Yang
17 papers receiving 648 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 473
- Computational Theory and Mathematics 403
- Materials Chemistry 148
- Organic Chemistry 60
- Pharmacology 55
Countries citing papers authored by Tianbiao Yang
This map shows the geographic impact of Tianbiao Yang'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 Tianbiao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianbiao Yang more than expected).
Fields of papers citing papers by Tianbiao Yang
This network shows the impact of papers produced by Tianbiao Yang. 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 Tianbiao Yang. The network helps show where Tianbiao Yang may publish in the future.
Co-authorship network of co-authors of Tianbiao Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianbiao Yang. A scholar is included among the top collaborators of Tianbiao Yang 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 Tianbiao Yang. Tianbiao Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 29 | |
| 5 | 51 | |
| 6 | 26 | |
| 7 | 26 | |
| 8 | TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments breakdown → | 325 |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 62 | |
| 12 | 18 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | 37 | |
| 17 | 22 |
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.