Huiling Feng
About
In The Last Decade
Huiling Feng
52 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Huiling Feng China | 18 | 322 | 245 | 206 | 173 | 132 | 57 | 1.1k | ||
| Mohammad Alizadeh Iran | 30 | 193 0.6× | 108 0.4× | 311 1.5× | 553 3.2× | 144 1.1× | 130 | 2.4k | ||
| Nancy M. Betts United States | 30 | 1.2k 3.6× | 119 0.5× | 697 3.4× | 296 1.7× | 332 2.5× | 75 | 3.4k | ||
| Wolfgang Stuetz Germany | 24 | 269 0.8× | 39 0.2× | 413 2.0× | 189 1.1× | 203 1.5× | 47 | 1.3k | ||
| Irène Margaritis France | 22 | 120 0.4× | 419 1.7× | 468 2.3× | 316 1.8× | 96 0.7× | 59 | 2.1k | ||
| Pramod Kumar Singh India | 22 | 51 0.2× | 52 0.2× | 435 2.1× | 232 1.3× | 465 3.5× | 139 | 1.9k | ||
| Teresa Helena Macedo da Costa Brazil | 22 | 50 0.2× | 142 0.6× | 368 1.8× | 119 0.7× | 70 0.5× | 84 | 1.6k | ||
| Yanna Zhu China | 24 | 541 1.7× | 24 0.1× | 259 1.3× | 282 1.6× | 119 0.9× | 91 | 2.0k | ||
| Kris Yuet Wan Lok Hong Kong | 20 | 111 0.3× | 22 0.1× | 512 2.5× | 116 0.7× | 75 0.6× | 80 | 1.9k | ||
| Tomoko Imai Japan | 24 | 68 0.2× | 105 0.4× | 244 1.2× | 301 1.7× | 116 0.9× | 103 | 1.7k | ||
| Ada L. García United Kingdom | 25 | 299 0.9× | 38 0.2× | 553 2.7× | 303 1.8× | 155 1.2× | 90 | 1.8k |
Countries citing papers authored by Huiling Feng
This map shows the geographic impact of Huiling Feng'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 Huiling Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiling Feng more than expected).
Fields of papers citing papers by Huiling Feng
This network shows the impact of papers produced by Huiling Feng. 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 Huiling Feng. The network helps show where Huiling Feng may publish in the future.
Co-authorship network of co-authors of Huiling Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Huiling Feng. A scholar is included among the top collaborators of Huiling Feng 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 Huiling Feng. Huiling Feng 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.