Haiping Lan

19 total papers · 1.0k total citations
8 papers, 847 citations indexed

About

Haiping Lan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Haiping Lan has authored 8 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Haiping Lan's work include Graphene research and applications (4 papers), Molecular Junctions and Nanostructures (3 papers) and Carbon Nanotubes in Composites (2 papers). Haiping Lan is often cited by papers focused on Graphene research and applications (4 papers), Molecular Junctions and Nanostructures (3 papers) and Carbon Nanotubes in Composites (2 papers). Haiping Lan collaborates with scholars based in China, United States and Japan. Haiping Lan's co-authors include Lian‐Mao Peng, Chuanhong Jin, Kazu Suenaga, Sumio Iijima, Ping Cui, Zhenyu Zhang, Jin‐Ho Choi, Zhixin Hu, Wei Ji and Wei Chen and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Scientific Reports.

In The Last Decade

Haiping Lan

8 papers receiving 834 citations

Hit Papers

Deriving Carbon Atomic Ch... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Haiping Lan 749 421 227 98 74 8 847
M. Zhang 559 0.7× 200 0.5× 162 0.7× 119 1.2× 85 1.1× 9 894
You Lin 922 1.2× 352 0.8× 321 1.4× 113 1.2× 35 0.5× 10 1.0k
Ruiping Gao 560 0.7× 217 0.5× 148 0.7× 212 2.2× 50 0.7× 10 760
Yoshiko Niimi 742 1.0× 236 0.6× 159 0.7× 90 0.9× 222 3.0× 10 952
Mark P. Boneschanscher 727 1.0× 433 1.0× 469 2.1× 178 1.8× 42 0.6× 11 1.0k
Giacomo Argentero 801 1.1× 162 0.4× 152 0.7× 138 1.4× 97 1.3× 13 916
T. Gerber 941 1.3× 362 0.9× 484 2.1× 110 1.1× 45 0.6× 19 1.0k
Cezhou Dong 558 0.7× 420 1.0× 81 0.4× 67 0.7× 52 0.7× 8 751
Tereza M. Paronyan 697 0.9× 496 1.2× 75 0.3× 254 2.6× 59 0.8× 13 895
Gunnar Moos 629 0.8× 193 0.5× 311 1.4× 133 1.4× 148 2.0× 8 774

Countries citing papers authored by Haiping Lan

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Lan

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