PingAn Hu

507 total papers · 20.4k total citations
388 papers, 17.6k citations indexed

About

PingAn Hu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, PingAn Hu has authored 388 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 228 papers in Materials Chemistry, 155 papers in Electrical and Electronic Engineering and 102 papers in Biomedical Engineering. Recurrent topics in PingAn Hu's work include 2D Materials and Applications (107 papers), Graphene research and applications (71 papers) and Perovskite Materials and Applications (50 papers). PingAn Hu is often cited by papers focused on 2D Materials and Applications (107 papers), Graphene research and applications (71 papers) and Perovskite Materials and Applications (50 papers). PingAn Hu collaborates with scholars based in China, United Kingdom and United States. PingAn Hu's co-authors include Wei Feng, Lifeng Wang, Jia Zhang, Wenwu Cao, Wei Zheng, Yunfeng Qiu, Kai Xiao, Yunxia Hu, Ping‐Heng Tan and Guangbo Liu and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

PingAn Hu

368 papers receiving 17.4k citations

Hit Papers

Synthesis of Few-Layer Ga... 2012 2026 2016 2021 2012 2013 2018 2014 2018 250 500 750

Author Peers

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

Author Last Decade Papers Cites
PingAn Hu 11.9k 8.6k 3.8k 2.9k 2.5k 388 17.6k
Lei Fu 9.8k 0.8× 6.7k 0.8× 3.4k 0.9× 3.0k 1.0× 2.6k 1.0× 364 16.6k
Jooho Moon 10.9k 0.9× 13.5k 1.6× 4.9k 1.3× 3.9k 1.3× 2.7k 1.1× 335 19.7k
Yue Zhang 6.9k 0.6× 6.7k 0.8× 3.7k 1.0× 3.5k 1.2× 2.3k 0.9× 386 14.2k
Yu Wang 8.3k 0.7× 6.7k 0.8× 4.6k 1.2× 2.8k 1.0× 4.2k 1.7× 583 15.5k
Kaili Jiang 8.6k 0.7× 7.2k 0.8× 4.8k 1.3× 1.7k 0.6× 3.5k 1.4× 261 16.8k
Hee‐Tae Jung 9.1k 0.8× 6.9k 0.8× 5.2k 1.4× 2.3k 0.8× 3.0k 1.2× 347 17.0k
Jing Zhu 10.0k 0.8× 8.0k 0.9× 4.9k 1.3× 4.0k 1.4× 3.3k 1.3× 456 17.7k
Kai Liu 8.4k 0.7× 6.8k 0.8× 3.5k 0.9× 1.8k 0.6× 2.3k 0.9× 434 15.4k
Xuedong Bai 9.6k 0.8× 8.3k 1.0× 2.8k 0.7× 1.4k 0.5× 3.1k 1.2× 308 16.7k
Ye Zhu 8.8k 0.7× 12.1k 1.4× 1.8k 0.5× 3.6k 1.2× 2.5k 1.0× 371 17.9k

Countries citing papers authored by PingAn Hu

Since Specialization
Citations

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

Fields of papers citing papers by PingAn Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by PingAn Hu. 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 PingAn Hu. The network helps show where PingAn Hu may publish in the future.

Co-authorship network of co-authors of PingAn Hu

This figure shows the co-authorship network connecting the top 25 collaborators of PingAn Hu. A scholar is included among the top collaborators of PingAn Hu 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 PingAn Hu. PingAn Hu 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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