Weijing Cai
About
In The Last Decade
Weijing Cai
116 papers receiving 8.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Weijing Cai United States | 52 | 5.2k | 3.4k | 2.0k | 1.6k | 1.3k | 117 | 9.2k | ||
| Masayoshi Takeuchi Japan | 62 | 7.3k 1.4× | 5.0k 1.5× | 1.8k 0.9× | 2.8k 1.8× | 1.8k 1.4× | 256 | 12.4k | ||
| Daisuke Koya Japan | 75 | 2.4k 0.5× | 4.1k 1.2× | 3.6k 1.8× | 6.6k 4.3× | 1.1k 0.8× | 292 | 18.9k | ||
| Takanori Matsui Japan | 54 | 4.3k 0.8× | 3.7k 1.1× | 1.1k 0.6× | 2.3k 1.4× | 833 0.6× | 252 | 9.2k | ||
| Karin Jandeleit‐Dahm Australia | 57 | 2.2k 0.4× | 2.4k 0.7× | 1.8k 0.9× | 3.7k 2.4× | 538 0.4× | 157 | 10.8k | ||
| Susan Hama United States | 53 | 4.6k 0.9× | 3.6k 1.1× | 806 0.4× | 2.8k 1.8× | 200 0.2× | 75 | 12.9k | ||
| Melinda T. Coughlan Australia | 43 | 2.7k 0.5× | 1.8k 0.5× | 1.3k 0.7× | 2.1k 1.4× | 572 0.4× | 97 | 6.7k | ||
| Maria F. Lopes‐Virella United States | 54 | 1.1k 0.2× | 3.1k 0.9× | 1.1k 0.6× | 2.1k 1.3× | 301 0.2× | 225 | 10.7k | ||
| Anatol Kontush France | 55 | 1.3k 0.3× | 4.6k 1.4× | 1.6k 0.8× | 3.0k 2.0× | 299 0.2× | 163 | 11.7k | ||
| Naila Rabbani United Kingdom | 50 | 3.8k 0.7× | 1.8k 0.5× | 1.6k 0.8× | 2.4k 1.5× | 869 0.7× | 130 | 7.1k | ||
| Diana M. Shih United States | 49 | 4.0k 0.8× | 912 0.3× | 1.5k 0.8× | 3.2k 2.1× | 242 0.2× | 80 | 9.6k |
Countries citing papers authored by Weijing Cai
This map shows the geographic impact of Weijing 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 Weijing Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijing Cai more than expected).
Fields of papers citing papers by Weijing Cai
This network shows the impact of papers produced by Weijing 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 Weijing Cai. The network helps show where Weijing Cai may publish in the future.
Co-authorship network of co-authors of Weijing Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Weijing Cai. A scholar is included among the top collaborators of Weijing 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 Weijing Cai. Weijing Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.