Weijun Mai
About
In The Last Decade
Weijun Mai
22 papers receiving 614 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Weijun Mai China | 12 | 371 | 242 | 142 | 130 | 79 | 23 | 625 | ||
| Sheng‐Wei Luo China | 16 | 606 1.6× | 326 1.3× | 146 1.0× | 246 1.9× | 53 0.7× | 53 | 819 | ||
| Tiaoyi Xiao China | 15 | 447 1.2× | 243 1.0× | 162 1.1× | 120 0.9× | 45 0.6× | 95 | 722 | ||
| Chao Zhao China | 17 | 326 0.9× | 162 0.7× | 229 1.6× | 138 1.1× | 44 0.6× | 75 | 687 | ||
| Fanbin Zhan China | 15 | 619 1.7× | 308 1.3× | 368 2.6× | 141 1.1× | 44 0.6× | 39 | 940 | ||
| César Uribe United States | 5 | 674 1.8× | 419 1.7× | 121 0.9× | 136 1.0× | 55 0.7× | 10 | 891 | ||
| Mireille Crampe Ireland | 6 | 646 1.7× | 350 1.4× | 79 0.6× | 109 0.8× | 41 0.5× | 12 | 797 | ||
| Bong‐Seok Kim South Korea | 14 | 221 0.6× | 212 0.9× | 126 0.9× | 103 0.8× | 40 0.5× | 53 | 517 | ||
| Sukkyoung Lee South Korea | 14 | 346 0.9× | 188 0.8× | 207 1.5× | 90 0.7× | 70 0.9× | 39 | 659 | ||
| Mingzhe Sun China | 13 | 431 1.2× | 263 1.1× | 143 1.0× | 130 1.0× | 52 0.7× | 29 | 710 | ||
| Rajesh Palanisamy India | 19 | 496 1.3× | 166 0.7× | 219 1.5× | 65 0.5× | 63 0.8× | 33 | 751 |
Countries citing papers authored by Weijun Mai
This map shows the geographic impact of Weijun Mai'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 Weijun Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Mai more than expected).
Fields of papers citing papers by Weijun Mai
This network shows the impact of papers produced by Weijun Mai. 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 Weijun Mai. The network helps show where Weijun Mai may publish in the future.
Co-authorship network of co-authors of Weijun Mai
This figure shows the co-authorship network connecting the top 25 collaborators of Weijun Mai. A scholar is included among the top collaborators of Weijun Mai 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 Weijun Mai. Weijun Mai 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.