Ming‐Chung Wang
About
In The Last Decade
Ming‐Chung Wang
44 papers receiving 573 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ming‐Chung Wang Taiwan | 12 | 218 | 194 | 164 | 124 | 96 | 47 | 584 | ||
| Tomoteru Kamimura Japan | 16 | 409 1.9× | 431 2.2× | 88 0.5× | 39 0.3× | 79 0.8× | 54 | 747 | ||
| Wai Yip Lam Hong Kong | 11 | 628 2.9× | 389 2.0× | 102 0.6× | 37 0.3× | 48 0.5× | 14 | 877 | ||
| Motohiro Shindo Japan | 13 | 147 0.7× | 278 1.4× | 85 0.5× | 262 2.1× | 32 0.3× | 54 | 776 | ||
| Nóra Schweitzer Germany | 18 | 295 1.4× | 254 1.3× | 205 1.3× | 36 0.3× | 45 0.5× | 34 | 960 | ||
| B. Süßkind United States | 17 | 113 0.5× | 311 1.6× | 145 0.9× | 78 0.6× | 23 0.2× | 40 | 1.3k | ||
| Yuxian Huang China | 18 | 632 2.9× | 429 2.2× | 140 0.9× | 59 0.5× | 31 0.3× | 78 | 1.1k | ||
| Takuya Matsumura Japan | 14 | 237 1.1× | 242 1.2× | 134 0.8× | 50 0.4× | 91 0.9× | 20 | 734 | ||
| Hua‐Guo Xu China | 16 | 379 1.7× | 321 1.7× | 94 0.6× | 44 0.4× | 28 0.3× | 62 | 953 | ||
| Maud Brandely France | 12 | 209 1.0× | 82 0.4× | 128 0.8× | 98 0.8× | 30 0.3× | 19 | 635 | ||
| Luydson Richardson Silva Vasconcelos Brazil | 13 | 119 0.5× | 86 0.4× | 33 0.2× | 50 0.4× | 19 0.2× | 63 | 486 |
Countries citing papers authored by Ming‐Chung Wang
This map shows the geographic impact of Ming‐Chung Wang'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 Ming‐Chung Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chung Wang more than expected).
Fields of papers citing papers by Ming‐Chung Wang
This network shows the impact of papers produced by Ming‐Chung Wang. 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 Ming‐Chung Wang. The network helps show where Ming‐Chung Wang may publish in the future.
Co-authorship network of co-authors of Ming‐Chung Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chung Wang. A scholar is included among the top collaborators of Ming‐Chung Wang 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 Ming‐Chung Wang. Ming‐Chung Wang 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.