Mei‐Chih Huang
About
In The Last Decade
Mei‐Chih Huang
66 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mei‐Chih Huang Taiwan | 22 | 273 | 263 | 213 | 208 | 193 | 72 | 1.2k | ||
| N. Sreekumaran Nair India | 20 | 185 0.7× | 197 0.7× | 169 0.8× | 222 1.1× | 127 0.7× | 67 | 1.8k | ||
| Georgine Burke United States | 21 | 394 1.4× | 384 1.5× | 101 0.5× | 331 1.6× | 169 0.9× | 33 | 1.8k | ||
| James T. Li United States | 26 | 181 0.7× | 166 0.6× | 66 0.3× | 236 1.1× | 376 1.9× | 66 | 6.0k | ||
| Sandra Josefina Ferraz Ellero Grisi Brazil | 17 | 251 0.9× | 206 0.8× | 72 0.3× | 131 0.6× | 185 1.0× | 72 | 1.4k | ||
| Arnona Ziv Israel | 23 | 443 1.6× | 70 0.3× | 224 1.1× | 515 2.5× | 220 1.1× | 71 | 2.0k | ||
| David Elliman United Kingdom | 17 | 375 1.4× | 425 1.6× | 58 0.3× | 161 0.8× | 158 0.8× | 52 | 1.8k | ||
| G H Koëter Netherlands | 26 | 91 0.3× | 220 0.8× | 136 0.6× | 445 2.1× | 325 1.7× | 53 | 2.9k | ||
| Manfred Wildner Germany | 22 | 210 0.8× | 80 0.3× | 83 0.4× | 183 0.9× | 398 2.1× | 130 | 1.7k | ||
| Alan L. Nager United States | 19 | 132 0.5× | 256 1.0× | 99 0.5× | 205 1.0× | 106 0.5× | 57 | 1.2k | ||
| Man‐Huei Chang United States | 24 | 165 0.6× | 170 0.6× | 169 0.8× | 200 1.0× | 205 1.1× | 52 | 1.6k |
Countries citing papers authored by Mei‐Chih Huang
This map shows the geographic impact of Mei‐Chih Huang'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 Mei‐Chih Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chih Huang more than expected).
Fields of papers citing papers by Mei‐Chih Huang
This network shows the impact of papers produced by Mei‐Chih Huang. 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 Mei‐Chih Huang. The network helps show where Mei‐Chih Huang may publish in the future.
Co-authorship network of co-authors of Mei‐Chih Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Chih Huang. A scholar is included among the top collaborators of Mei‐Chih Huang 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 Mei‐Chih Huang. Mei‐Chih Huang 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.