Hai‐Lan Huang
About
In The Last Decade
Hai‐Lan Huang
20 papers receiving 523 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‐Lan Huang China | 11 | 150 | 140 | 100 | 99 | 97 | 21 | 549 | ||
| Remziye Aysun Kepekçi Türkiye | 12 | 29 0.2× | 74 0.5× | 43 0.4× | 110 1.1× | 28 0.3× | 33 | 541 | ||
| Khalid Alfooty Saudi Arabia | 17 | 78 0.5× | 141 1.0× | 52 0.5× | 69 0.7× | 326 3.4× | 45 | 878 | ||
| Mehdi Rassa Iran | 22 | 29 0.2× | 124 0.9× | 18 0.2× | 26 0.3× | 20 0.2× | 53 | 1.0k | ||
| Karuppaiya Vimala India | 15 | 109 0.7× | 100 0.7× | 16 0.2× | 21 0.2× | 12 0.1× | 31 | 848 | ||
| Chita Ranjan Sahoo India | 17 | 19 0.1× | 227 1.6× | 19 0.2× | 55 0.6× | 9 0.1× | 63 | 979 | ||
| Mingqin Zhao China | 18 | 21 0.1× | 284 2.0× | 9 0.1× | 51 0.5× | 45 0.5× | 110 | 1.1k | ||
| A. Gato Spain | 7 | 122 0.8× | 85 0.6× | 10 0.1× | 187 1.9× | 24 0.2× | 13 | 438 | ||
| Marie‐Laurence Abasq France | 9 | 35 0.2× | 59 0.4× | 13 0.1× | 31 0.3× | 19 0.2× | 17 | 353 | ||
| Fatemeh S. Mohseni‐Shahri Iran | 15 | 13 0.1× | 180 1.3× | 11 0.1× | 22 0.2× | 26 0.3× | 40 | 598 | ||
| Walla Alelwani Saudi Arabia | 14 | 9 0.1× | 126 0.9× | 15 0.1× | 72 0.7× | 29 0.3× | 44 | 570 |
Countries citing papers authored by Hai‐Lan Huang
This map shows the geographic impact of Hai‐Lan Huang'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‐Lan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Lan Huang more than expected).
Fields of papers citing papers by Hai‐Lan Huang
This network shows the impact of papers produced by Hai‐Lan Huang. 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‐Lan Huang. The network helps show where Hai‐Lan Huang may publish in the future.
Co-authorship network of co-authors of Hai‐Lan Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Lan Huang. A scholar is included among the top collaborators of Hai‐Lan Huang 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‐Lan Huang. Hai‐Lan Huang 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.