Ningyi Dai
About
In The Last Decade
Ningyi Dai
115 papers receiving 2.5k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ningyi Dai Macao | 25 | 2.0k | 935 | 574 | 438 | 224 | 125 | 2.6k | ||
| Prashant Kumar Tiwari India | 24 | 1.1k 0.5× | 658 0.7× | 131 0.2× | 95 0.2× | 200 0.9× | 94 | 2.1k | ||
| Padmanathan Kasinathan India | 17 | 975 0.5× | 370 0.4× | 66 0.1× | 121 0.3× | 232 1.0× | 42 | 1.6k | ||
| George Cristian Lăzăroiu Romania | 19 | 1.0k 0.5× | 444 0.5× | 100 0.2× | 68 0.2× | 470 2.1× | 135 | 1.9k | ||
| David Z.W. Wang Singapore | 32 | 719 0.4× | 777 0.8× | 460 0.8× | 112 0.3× | 196 0.9× | 147 | 3.5k | ||
| Michela Longo Italy | 26 | 2.1k 1.0× | 462 0.5× | 108 0.2× | 234 0.5× | 437 2.0× | 261 | 2.9k | ||
| Muhamad Mansor Malaysia | 27 | 2.2k 1.1× | 1.1k 1.2× | 44 0.1× | 204 0.5× | 269 1.2× | 97 | 3.1k | ||
| Salvatore Favuzza Italy | 24 | 1.6k 0.8× | 1.0k 1.1× | 60 0.1× | 66 0.2× | 253 1.1× | 144 | 2.2k | ||
| Subrata K. Sarker Bangladesh | 22 | 1.2k 0.6× | 1.1k 1.2× | 180 0.3× | 88 0.2× | 91 0.4× | 91 | 2.2k | ||
| Tomás Gómez San Román Spain | 37 | 4.2k 2.1× | 1.1k 1.2× | 38 0.1× | 124 0.3× | 409 1.8× | 159 | 4.7k | ||
| Mariacristina Roscia Italy | 17 | 612 0.3× | 244 0.3× | 114 0.2× | 69 0.2× | 193 0.9× | 110 | 1.4k |
Countries citing papers authored by Ningyi Dai
This map shows the geographic impact of Ningyi Dai'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 Ningyi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningyi Dai more than expected).
Fields of papers citing papers by Ningyi Dai
This network shows the impact of papers produced by Ningyi Dai. 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 Ningyi Dai. The network helps show where Ningyi Dai may publish in the future.
Co-authorship network of co-authors of Ningyi Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Ningyi Dai. A scholar is included among the top collaborators of Ningyi Dai 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 Ningyi Dai. Ningyi Dai 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.