Lien Ai Pham-Huy

10 total papers · 5.0k total citations
10 papers, 3.9k citations indexed

About

Lien Ai Pham-Huy is a scholar working on Biomedical Engineering, Materials Chemistry and Analytical Chemistry. According to data from OpenAlex, Lien Ai Pham-Huy has authored 10 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Materials Chemistry and 3 papers in Analytical Chemistry. Recurrent topics in Lien Ai Pham-Huy's work include Graphene and Nanomaterials Applications (5 papers), Carbon Nanotubes in Composites (4 papers) and Analytical chemistry methods development (3 papers). Lien Ai Pham-Huy is often cited by papers focused on Graphene and Nanomaterials Applications (5 papers), Carbon Nanotubes in Composites (4 papers) and Analytical chemistry methods development (3 papers). Lien Ai Pham-Huy collaborates with scholars based in United States, China and France. Lien Ai Pham-Huy's co-authors include Hua He, Chuong Pham‐Huy, Hua He, Deli Xiao, Pierre Dramou, Pengli Zuo, Wenyue Zou, Hui Li, Li Jiang and Lili Li and has published in prestigious journals such as Journal of Chromatography A, BioMed Research International and Journal of Materials Chemistry B.

In The Last Decade

Lien Ai Pham-Huy

10 papers receiving 3.8k citations

Hit Papers

Free Radicals, Antioxidan... 2008 2026 2014 2020 2008 2008 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lien Ai Pham-Huy 962 757 648 458 453 10 3.9k
Aneta Pop 954 1.0× 594 0.8× 595 0.9× 609 1.3× 269 0.6× 23 3.8k
Yun-Zhong Fang 1.6k 1.7× 575 0.8× 491 0.8× 281 0.6× 257 0.6× 12 5.1k
Neelam Chandra 935 1.0× 987 1.3× 955 1.5× 707 1.5× 172 0.4× 9 4.0k
Aishwarya Patil 917 1.0× 987 1.3× 920 1.4× 707 1.5× 172 0.4× 8 4.0k
Anita Phatak 938 1.0× 1.0k 1.3× 977 1.5× 755 1.6× 173 0.4× 8 4.0k
Mário Izakovič 2.2k 2.3× 961 1.3× 727 1.1× 374 0.8× 506 1.1× 10 6.6k
Vijaya Lobo 917 1.0× 995 1.3× 940 1.5× 718 1.6× 173 0.4× 6 4.0k
Aurelia Magdalena Pisoschi 1.1k 1.1× 832 1.1× 771 1.2× 758 1.7× 319 0.7× 44 4.6k
Chitra Sundaram 2.4k 2.5× 565 0.7× 516 0.8× 368 0.8× 209 0.5× 16 6.4k
Mariapaola Cucinotta 1.0k 1.1× 345 0.5× 408 0.6× 260 0.6× 154 0.3× 16 3.4k

Countries citing papers authored by Lien Ai Pham-Huy

Since Specialization
Citations

This map shows the geographic impact of Lien Ai Pham-Huy'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 Lien Ai Pham-Huy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lien Ai Pham-Huy more than expected).

Fields of papers citing papers by Lien Ai Pham-Huy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lien Ai Pham-Huy. 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 Lien Ai Pham-Huy. The network helps show where Lien Ai Pham-Huy may publish in the future.

Co-authorship network of co-authors of Lien Ai Pham-Huy

This figure shows the co-authorship network connecting the top 25 collaborators of Lien Ai Pham-Huy. A scholar is included among the top collaborators of Lien Ai Pham-Huy 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 Lien Ai Pham-Huy. Lien Ai Pham-Huy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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