Han Cai
About
In The Last Decade
Han Cai
73 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 832
- Computer Networks and Communications 491
- Information Systems 436
- Electrical and Electronic Engineering 432
Countries citing papers authored by Han Cai
This map shows the geographic impact of Han Cai'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 Han Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Cai more than expected).
Fields of papers citing papers by Han Cai
This network shows the impact of papers produced by Han Cai. 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 Han Cai. The network helps show where Han Cai may publish in the future.
Co-authorship network of co-authors of Han Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Han Cai. A scholar is included among the top collaborators of Han Cai 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 Han Cai. Han Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning | 27 |
| 17 | 2 | |
| 18 | Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning | 8 |
| 19 | 14 | |
| 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.