Changjun Tie
About
In The Last Decade
Changjun Tie
36 papers receiving 668 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Changjun Tie China | 12 | 442 | 183 | 142 | 139 | 139 | 38 | 672 | ||
| Natasha Sheybani United States | 17 | 451 1.0× | 184 1.0× | 73 0.5× | 73 0.5× | 149 1.1× | 36 | 796 | ||
| Ryan Alkins Canada | 12 | 763 1.7× | 421 2.3× | 109 0.8× | 200 1.4× | 97 0.7× | 26 | 1.1k | ||
| Alexandre Vignot France | 7 | 613 1.4× | 295 1.6× | 98 0.7× | 154 1.1× | 82 0.6× | 14 | 796 | ||
| Vincent Reina France | 8 | 511 1.2× | 235 1.3× | 89 0.6× | 126 0.9× | 80 0.6× | 18 | 839 | ||
| Wenbo Zhan United Kingdom | 18 | 384 0.9× | 171 0.9× | 318 2.2× | 57 0.4× | 168 1.2× | 49 | 914 | ||
| Carlos J. Pérez‐Torres United States | 16 | 322 0.7× | 185 1.0× | 201 1.4× | 170 1.2× | 130 0.9× | 28 | 810 | ||
| Catherine Horodyckid France | 6 | 548 1.2× | 247 1.3× | 94 0.7× | 144 1.0× | 81 0.6× | 8 | 751 | ||
| Ildikó Horváth Hungary | 15 | 188 0.4× | 162 0.9× | 116 0.8× | 74 0.5× | 178 1.3× | 37 | 625 | ||
| Sarah Able United Kingdom | 14 | 166 0.4× | 118 0.6× | 109 0.8× | 76 0.5× | 265 1.9× | 22 | 585 | ||
| Marc Schwarz Germany | 13 | 246 0.6× | 122 0.7× | 208 1.5× | 82 0.6× | 125 0.9× | 29 | 760 |
Countries citing papers authored by Changjun Tie
This map shows the geographic impact of Changjun Tie'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 Changjun Tie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjun Tie more than expected).
Fields of papers citing papers by Changjun Tie
This network shows the impact of papers produced by Changjun Tie. 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 Changjun Tie. The network helps show where Changjun Tie may publish in the future.
Co-authorship network of co-authors of Changjun Tie
This figure shows the co-authorship network connecting the top 25 collaborators of Changjun Tie. A scholar is included among the top collaborators of Changjun Tie 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 Changjun Tie. Changjun Tie 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.