TU Ming-li
About
In The Last Decade
TU Ming-li
8 papers receiving 218 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| TU Ming-li China | 6 | 114 | 52 | 34 | 33 | 28 | 8 | 221 | ||
| Qiujing Wang China | 7 | 18 0.2× | 36 0.7× | 29 0.9× | 35 1.1× | 7 0.3× | 31 | 250 | ||
| Marleny Elizabeth Martinez Gerbi Brazil | 6 | 77 0.7× | 161 3.1× | 25 0.7× | 16 0.5× | 24 0.9× | 8 | 364 | ||
| Tarun Vyas India | 7 | 57 0.5× | 30 0.6× | 31 0.9× | 4 0.1× | 4 0.1× | 25 | 271 | ||
| Rashin Bahrami Iran | 10 | 52 0.5× | 64 1.2× | 37 1.1× | 34 1.0× | 3 0.1× | 45 | 258 | ||
| Juliana Paiva Marques Lima Rolim Brazil | 9 | 95 0.8× | 252 4.8× | 28 0.8× | 31 0.9× | 5 0.2× | 17 | 413 | ||
| Charles W. Berry United States | 10 | 127 1.1× | 35 0.7× | 29 0.9× | 10 0.3× | 2 0.1× | 18 | 362 | ||
| Pooja Agarwal India | 8 | 26 0.2× | 11 0.2× | 15 0.4× | 12 0.4× | 4 0.1× | 40 | 371 | ||
| Narae Ko United States | 4 | 53 0.5× | 77 1.5× | 87 2.6× | 7 0.2× | 2 0.1× | 6 | 308 | ||
| Roald Papke Germany | 4 | 10 0.1× | 10 0.2× | 46 1.4× | 9 0.3× | 7 0.3× | 8 | 271 | ||
| Reza Pourabbas Iran | 10 | 153 1.3× | 77 1.5× | 11 0.3× | 6 0.2× | 1 0.0× | 33 | 341 |
Countries citing papers authored by TU Ming-li
This map shows the geographic impact of TU Ming-li'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 TU Ming-li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TU Ming-li more than expected).
Fields of papers citing papers by TU Ming-li
This network shows the impact of papers produced by TU Ming-li. 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 TU Ming-li. The network helps show where TU Ming-li may publish in the future.
Co-authorship network of co-authors of TU Ming-li
This figure shows the co-authorship network connecting the top 25 collaborators of TU Ming-li. A scholar is included among the top collaborators of TU Ming-li 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 TU Ming-li. TU Ming-li 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.