Jiahao Su
About
In The Last Decade
Jiahao Su
23 papers receiving 145 citations
Peers
Comparison fields: 5 of 83
- Materials Chemistry 35
- Biomedical Engineering 27
- Electrical and Electronic Engineering 24
- Molecular Biology 16
- Plant Science 15
Countries citing papers authored by Jiahao Su
This map shows the geographic impact of Jiahao Su'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 Jiahao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahao Su more than expected).
Fields of papers citing papers by Jiahao Su
This network shows the impact of papers produced by Jiahao Su. 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 Jiahao Su. The network helps show where Jiahao Su may publish in the future.
Co-authorship network of co-authors of Jiahao Su
This figure shows the co-authorship network connecting the top 25 collaborators of Jiahao Su. A scholar is included among the top collaborators of Jiahao Su 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 Jiahao Su. Jiahao Su 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 55 | |
| 15 | Convolutional Tensor-Train LSTM for Spatio-temporal Learning | 5 |
| 16 | Understanding Generalization in Deep Learning via Tensor Methods | 1 |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
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.