Yuhao Kang
About
In The Last Decade
Yuhao Kang
62 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Transportation 928
- Global and Planetary Change 625
- Health, Toxicology and Mutagenesis 402
- Modeling and Simulation 364
- Building and Construction 332
Countries citing papers authored by Yuhao Kang
This map shows the geographic impact of Yuhao Kang'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 Yuhao Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhao Kang more than expected).
Fields of papers citing papers by Yuhao Kang
This network shows the impact of papers produced by Yuhao Kang. 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 Yuhao Kang. The network helps show where Yuhao Kang may publish in the future.
Co-authorship network of co-authors of Yuhao Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhao Kang. A scholar is included among the top collaborators of Yuhao Kang 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 Yuhao Kang. Yuhao Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Understanding urban perception with visual data: A systematic review breakdown → | 54 |
| 7 | Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics breakdown → | 33 |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 57 | |
| 14 | 15 | |
| 15 | 14 | |
| 16 | 101 | |
| 17 | 12 | |
| 18 | 201 | |
| 19 | 69 | |
| 20 | County-level corn yield prediction using deep transfer learning | 5 |
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.