Hongmin Cai
About
In The Last Decade
Hongmin Cai
182 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 912
- Radiology, Nuclear Medicine and Imaging 906
- Computer Vision and Pattern Recognition 788
- Molecular Biology 398
- Computer Networks and Communications 295
Countries citing papers authored by Hongmin Cai
This map shows the geographic impact of Hongmin 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 Hongmin Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongmin Cai more than expected).
Fields of papers citing papers by Hongmin Cai
This network shows the impact of papers produced by Hongmin 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 Hongmin Cai. The network helps show where Hongmin Cai may publish in the future.
Co-authorship network of co-authors of Hongmin Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Hongmin Cai. A scholar is included among the top collaborators of Hongmin 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 Hongmin Cai. Hongmin 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 | 16 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 104 | |
| 19 | Study on the use of zero voltage vectors in the PMSM DTC system | 6 |
| 20 | Improved partial differential equation-based method to remove noise in image enhancement | 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.