Kezhi Dai
About
In The Last Decade
Kezhi Dai
20 papers receiving 697 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kezhi Dai United States | 13 | 335 | 169 | 137 | 123 | 105 | 20 | 708 | ||
| Jani Saksi Finland | 14 | 387 1.2× | 179 1.1× | 104 0.8× | 188 1.5× | 153 1.5× | 23 | 865 | ||
| Xiaochun Yang China | 17 | 510 1.5× | 208 1.2× | 93 0.7× | 72 0.6× | 75 0.7× | 33 | 903 | ||
| Rachel J. Roth Flach United States | 18 | 462 1.4× | 220 1.3× | 210 1.5× | 150 1.2× | 92 0.9× | 29 | 955 | ||
| Haibo Wu United States | 13 | 439 1.3× | 72 0.4× | 163 1.2× | 70 0.6× | 78 0.7× | 17 | 714 | ||
| Carolyn L. Buller United States | 9 | 380 1.1× | 105 0.6× | 48 0.4× | 74 0.6× | 87 0.8× | 12 | 744 | ||
| Haiying Jiang China | 15 | 254 0.8× | 85 0.5× | 46 0.3× | 88 0.7× | 90 0.9× | 37 | 665 | ||
| Tae-Il Jeon United States | 9 | 442 1.3× | 174 1.0× | 71 0.5× | 76 0.6× | 298 2.8× | 9 | 993 | ||
| Nicolas Coant United States | 20 | 785 2.3× | 154 0.9× | 177 1.3× | 187 1.5× | 166 1.6× | 30 | 1.2k | ||
| Julie Cavanagh-Kyros United States | 14 | 584 1.7× | 299 1.8× | 158 1.2× | 67 0.5× | 100 1.0× | 15 | 951 | ||
| Ki-Up Lee South Korea | 17 | 402 1.2× | 143 0.8× | 129 0.9× | 78 0.6× | 244 2.3× | 25 | 929 |
Countries citing papers authored by Kezhi Dai
This map shows the geographic impact of Kezhi Dai'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 Kezhi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kezhi Dai more than expected).
Fields of papers citing papers by Kezhi Dai
This network shows the impact of papers produced by Kezhi Dai. 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 Kezhi Dai. The network helps show where Kezhi Dai may publish in the future.
Co-authorship network of co-authors of Kezhi Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Kezhi Dai. A scholar is included among the top collaborators of Kezhi Dai 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 Kezhi Dai. Kezhi Dai 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.