Wei‐Chuan Chang
About
In The Last Decade
Wei‐Chuan Chang
35 papers receiving 453 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‐Chuan Chang Taiwan | 13 | 168 | 93 | 89 | 79 | 59 | 39 | 464 | ||
| Anju Jain India | 15 | 41 0.2× | 22 0.2× | 109 1.2× | 84 1.1× | 50 0.8× | 50 | 584 | ||
| Sara Fill Malfertheiner Germany | 12 | 446 2.7× | 52 0.6× | 119 1.3× | 78 1.0× | 47 0.8× | 37 | 815 | ||
| Saskia Vande Velde Belgium | 13 | 32 0.2× | 78 0.8× | 70 0.8× | 266 3.4× | 21 0.4× | 51 | 590 | ||
| Freddy Kokke Netherlands | 12 | 69 0.4× | 157 1.7× | 140 1.6× | 217 2.7× | 98 1.7× | 16 | 643 | ||
| Giorgia Bizzaro Israel | 8 | 95 0.6× | 25 0.3× | 54 0.6× | 31 0.4× | 79 1.3× | 9 | 584 | ||
| Mark Niven Israel | 13 | 138 0.8× | 51 0.5× | 157 1.8× | 204 2.6× | 47 0.8× | 31 | 688 | ||
| Eleftheria Roma‐Giannikou Greece | 13 | 70 0.4× | 61 0.7× | 135 1.5× | 163 2.1× | 52 0.9× | 22 | 426 | ||
| Mathurin Flamant France | 15 | 94 0.6× | 164 1.8× | 94 1.1× | 240 3.0× | 52 0.9× | 24 | 583 | ||
| D. Knafelz Italy | 15 | 111 0.7× | 71 0.8× | 164 1.8× | 195 2.5× | 84 1.4× | 49 | 592 | ||
| Oded Shamriz Israel | 14 | 193 1.1× | 23 0.2× | 97 1.1× | 62 0.8× | 96 1.6× | 58 | 555 |
Countries citing papers authored by Wei‐Chuan Chang
This map shows the geographic impact of Wei‐Chuan 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‐Chuan 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‐Chuan Chang more than expected).
Fields of papers citing papers by Wei‐Chuan Chang
This network shows the impact of papers produced by Wei‐Chuan 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‐Chuan Chang. The network helps show where Wei‐Chuan Chang may publish in the future.
Co-authorship network of co-authors of Wei‐Chuan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chuan Chang. A scholar is included among the top collaborators of Wei‐Chuan 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‐Chuan Chang. Wei‐Chuan 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.