Yatao Bian
About
In The Last Decade
Yatao Bian
27 papers receiving 307 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 182
- Computational Theory and Mathematics 80
- Materials Chemistry 71
- Computer Vision and Pattern Recognition 66
- Molecular Biology 61
Countries citing papers authored by Yatao Bian
This map shows the geographic impact of Yatao Bian'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 Yatao Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yatao Bian more than expected).
Fields of papers citing papers by Yatao Bian
This network shows the impact of papers produced by Yatao Bian. 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 Yatao Bian. The network helps show where Yatao Bian may publish in the future.
Co-authorship network of co-authors of Yatao Bian
This figure shows the co-authorship network connecting the top 25 collaborators of Yatao Bian. A scholar is included among the top collaborators of Yatao Bian 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 Yatao Bian. Yatao Bian 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 46 | |
| 9 | 43 | |
| 10 | Not All Low-Pass Filters are Robust in Graph Convolutional Networks | 14 |
| 11 | 38 | |
| 12 | 21 | |
| 13 | Dual Message Passing Neural Network for Molecular Property Prediction. | 5 |
| 14 | GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. | 6 |
| 15 | Self-Supervised Graph Transformer on Large-Scale Molecular Data | 12 |
| 16 | Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference | 1 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Parallel Coordinate Descent Newton for Large-scale L1-Regularized Minimization. | 3 |
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.