Nain‐Feng Chu
About
In The Last Decade
Nain‐Feng Chu
91 papers receiving 2.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nain‐Feng Chu Taiwan | 25 | 826 | 707 | 464 | 408 | 230 | 93 | 2.3k | ||
| N J Wareham United Kingdom | 23 | 757 0.9× | 791 1.1× | 311 0.7× | 501 1.2× | 255 1.1× | 42 | 2.5k | ||
| Yeong Sook Yoon South Korea | 23 | 510 0.6× | 560 0.8× | 654 1.4× | 510 1.3× | 194 0.8× | 58 | 2.3k | ||
| Sylviane Vol France | 29 | 635 0.8× | 700 1.0× | 547 1.2× | 767 1.9× | 228 1.0× | 67 | 2.5k | ||
| Rachel Leach United Kingdom | 7 | 508 0.6× | 717 1.0× | 235 0.5× | 338 0.8× | 241 1.0× | 8 | 1.9k | ||
| E. S. Ford United States | 17 | 497 0.6× | 620 0.9× | 465 1.0× | 504 1.2× | 301 1.3× | 18 | 2.3k | ||
| Lars Ängquist Denmark | 25 | 659 0.8× | 1.0k 1.5× | 263 0.6× | 303 0.7× | 159 0.7× | 98 | 2.2k | ||
| Ga Eun Nam South Korea | 32 | 687 0.8× | 618 0.9× | 508 1.1× | 556 1.4× | 202 0.9× | 139 | 2.7k | ||
| Inkyung Baik South Korea | 26 | 730 0.9× | 577 0.8× | 570 1.2× | 421 1.0× | 105 0.5× | 87 | 2.4k | ||
| Magdalena Olszanecka‐Glinianowicz Poland | 27 | 723 0.9× | 486 0.7× | 641 1.4× | 376 0.9× | 222 1.0× | 195 | 2.8k | ||
| Tricia Li United States | 21 | 958 1.2× | 610 0.9× | 935 2.0× | 492 1.2× | 274 1.2× | 41 | 3.0k |
Countries citing papers authored by Nain‐Feng Chu
This map shows the geographic impact of Nain‐Feng Chu'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 Nain‐Feng Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nain‐Feng Chu more than expected).
Fields of papers citing papers by Nain‐Feng Chu
This network shows the impact of papers produced by Nain‐Feng Chu. 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 Nain‐Feng Chu. The network helps show where Nain‐Feng Chu may publish in the future.
Co-authorship network of co-authors of Nain‐Feng Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Nain‐Feng Chu. A scholar is included among the top collaborators of Nain‐Feng Chu 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 Nain‐Feng Chu. Nain‐Feng Chu 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.