Wei‐Chou Chang
About
In The Last Decade
Wei‐Chou Chang
96 papers receiving 1.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wei‐Chou Chang Taiwan | 20 | 388 | 372 | 352 | 260 | 190 | 106 | 1.3k | ||
| Tetsuo Maeda Japan | 24 | 315 0.8× | 382 1.0× | 377 1.1× | 354 1.4× | 145 0.8× | 142 | 1.8k | ||
| Hyo Soon Lim South Korea | 19 | 583 1.5× | 296 0.8× | 443 1.3× | 200 0.8× | 258 1.4× | 71 | 1.5k | ||
| Christoph Trumm Germany | 22 | 632 1.6× | 501 1.3× | 329 0.9× | 344 1.3× | 378 2.0× | 89 | 1.6k | ||
| Pierre Vassallo Germany | 11 | 442 1.1× | 234 0.6× | 390 1.1× | 251 1.0× | 228 1.2× | 15 | 1.2k | ||
| Francesco Maria Drudi Italy | 21 | 505 1.3× | 425 1.1× | 437 1.2× | 119 0.5× | 164 0.9× | 96 | 1.3k | ||
| Vamsi R. Narra United States | 20 | 427 1.1× | 517 1.4× | 390 1.1× | 199 0.8× | 183 1.0× | 40 | 1.3k | ||
| Terue Okamura Japan | 21 | 419 1.1× | 358 1.0× | 437 1.2× | 262 1.0× | 85 0.4× | 71 | 1.4k | ||
| Luca Balzarini Italy | 25 | 622 1.6× | 553 1.5× | 484 1.4× | 374 1.4× | 126 0.7× | 120 | 1.9k | ||
| Sanaz Javadi United States | 21 | 386 1.0× | 235 0.6× | 451 1.3× | 271 1.0× | 88 0.5× | 70 | 1.3k | ||
| Seung Hyun Cho South Korea | 22 | 643 1.7× | 242 0.7× | 504 1.4× | 487 1.9× | 110 0.6× | 85 | 1.4k |
Countries citing papers authored by Wei‐Chou Chang
This map shows the geographic impact of Wei‐Chou Chang'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 Wei‐Chou Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Chou Chang more than expected).
Fields of papers citing papers by Wei‐Chou Chang
This network shows the impact of papers produced by Wei‐Chou Chang. 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 Wei‐Chou Chang. The network helps show where Wei‐Chou Chang may publish in the future.
Co-authorship network of co-authors of Wei‐Chou Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chou Chang. A scholar is included among the top collaborators of Wei‐Chou Chang 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 Wei‐Chou Chang. Wei‐Chou Chang 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.