Hai‐Hua Chuang
About
In The Last Decade
Hai‐Hua Chuang
55 papers receiving 841 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hai‐Hua Chuang Taiwan | 17 | 398 | 119 | 112 | 101 | 88 | 60 | 871 | ||
| Liisa Hiltunen Finland | 18 | 203 0.5× | 33 0.3× | 42 0.4× | 118 1.2× | 49 0.6× | 36 | 926 | ||
| Gregory Tripsianis Greece | 19 | 117 0.3× | 39 0.3× | 46 0.4× | 48 0.5× | 61 0.7× | 52 | 1.1k | ||
| Jan Bjersing Sweden | 19 | 256 0.6× | 56 0.5× | 155 1.4× | 35 0.3× | 13 0.1× | 37 | 1.1k | ||
| G. Dobos Germany | 15 | 183 0.5× | 42 0.4× | 105 0.9× | 30 0.3× | 23 0.3× | 60 | 1.0k | ||
| J. Christiaan Keurentjes Netherlands | 13 | 155 0.4× | 84 0.7× | 117 1.0× | 66 0.7× | 71 0.8× | 18 | 2.3k | ||
| Sulin Cheng Finland | 24 | 903 2.3× | 64 0.5× | 544 4.9× | 147 1.5× | 76 0.9× | 49 | 2.0k | ||
| Wayne Gulliver Canada | 19 | 484 1.2× | 89 0.7× | 101 0.9× | 400 4.0× | 13 0.1× | 33 | 1.6k | ||
| Hui Ouyang China | 22 | 190 0.5× | 89 0.7× | 292 2.6× | 25 0.2× | 21 0.2× | 82 | 1.5k | ||
| Ann‐Margret Ervin United States | 21 | 249 0.6× | 117 1.0× | 425 3.8× | 229 2.3× | 185 2.1× | 42 | 1.5k | ||
| S Ferlito Italy | 16 | 274 0.7× | 99 0.8× | 72 0.6× | 47 0.5× | 40 0.5× | 74 | 755 |
Countries citing papers authored by Hai‐Hua Chuang
This map shows the geographic impact of Hai‐Hua Chuang'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 Hai‐Hua Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Hua Chuang more than expected).
Fields of papers citing papers by Hai‐Hua Chuang
This network shows the impact of papers produced by Hai‐Hua Chuang. 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 Hai‐Hua Chuang. The network helps show where Hai‐Hua Chuang may publish in the future.
Co-authorship network of co-authors of Hai‐Hua Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Hua Chuang. A scholar is included among the top collaborators of Hai‐Hua Chuang 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 Hai‐Hua Chuang. Hai‐Hua Chuang 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.