Cheng–Chia Wu
About
In The Last Decade
Cheng–Chia Wu
81 papers receiving 2.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Cheng–Chia Wu United States | 23 | 480 | 429 | 405 | 355 | 342 | 90 | 2.3k | ||
| Xu He China | 33 | 1.2k 2.4× | 75 0.2× | 124 0.3× | 152 0.4× | 452 1.3× | 90 | 2.8k | ||
| Pierre‐Louis Tharaux France | 40 | 1.4k 2.9× | 409 1.0× | 83 0.2× | 769 2.2× | 182 0.5× | 123 | 4.8k | ||
| Dongfang Liu China | 27 | 1.3k 2.8× | 244 0.6× | 46 0.1× | 107 0.3× | 250 0.7× | 118 | 2.9k | ||
| Dae Hyuk Moon South Korea | 34 | 744 1.6× | 193 0.4× | 91 0.2× | 827 2.3× | 162 0.5× | 169 | 4.0k | ||
| Zhonghua Zhao China | 30 | 1.3k 2.7× | 122 0.3× | 63 0.2× | 185 0.5× | 288 0.8× | 109 | 2.5k | ||
| Hideo Matsui Japan | 25 | 733 1.5× | 179 0.4× | 68 0.2× | 234 0.7× | 123 0.4× | 93 | 2.4k | ||
| Elizabeth S. Ingham United States | 26 | 908 1.9× | 72 0.2× | 244 0.6× | 178 0.5× | 141 0.4× | 50 | 2.5k | ||
| Sheng Cao United States | 29 | 1.3k 2.7× | 115 0.3× | 110 0.3× | 140 0.4× | 192 0.6× | 65 | 3.0k | ||
| Jianchun Chen China | 24 | 937 2.0× | 136 0.3× | 111 0.3× | 296 0.8× | 84 0.2× | 56 | 2.4k | ||
| Warren D. Foltz Canada | 33 | 635 1.3× | 92 0.2× | 31 0.1× | 408 1.1× | 191 0.6× | 101 | 3.0k |
Countries citing papers authored by Cheng–Chia Wu
This map shows the geographic impact of Cheng–Chia Wu'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 Cheng–Chia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng–Chia Wu more than expected).
Fields of papers citing papers by Cheng–Chia Wu
This network shows the impact of papers produced by Cheng–Chia Wu. 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 Cheng–Chia Wu. The network helps show where Cheng–Chia Wu may publish in the future.
Co-authorship network of co-authors of Cheng–Chia Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng–Chia Wu. A scholar is included among the top collaborators of Cheng–Chia Wu 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 Cheng–Chia Wu. Cheng–Chia Wu 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.