Gui-Ping Tang

55 total papers · 1.4k total citations
49 papers, 1.3k citations indexed

About

Gui-Ping Tang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gui-Ping Tang has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 32 papers in Materials Chemistry and 28 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gui-Ping Tang's work include Graphene research and applications (31 papers), Molecular Junctions and Nanostructures (30 papers) and Quantum and electron transport phenomena (27 papers). Gui-Ping Tang is often cited by papers focused on Graphene research and applications (31 papers), Molecular Junctions and Nanostructures (30 papers) and Quantum and electron transport phenomena (27 papers). Gui-Ping Tang collaborates with scholars based in China and United States. Gui-Ping Tang's co-authors include X.Q. Deng, Zhi-Qiang Fan, Z.H. Zhang, Zhenhua Zhang, Ming Qiu, Chen Yang, Jicheng Zhou, Huali Zhu, Jie Li and Ke‐Qiu Chen and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Gui-Ping Tang

47 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Gui-Ping Tang 1.0k 947 678 118 61 49 1.3k
Zhenhua Zhang 1.1k 1.0× 788 0.8× 454 0.7× 113 1.0× 65 1.1× 83 1.3k
Benjamin J. Robinson 720 0.7× 688 0.7× 258 0.4× 247 2.1× 39 0.6× 53 1.1k
Pascal Gehring 653 0.6× 583 0.6× 492 0.7× 200 1.7× 31 0.5× 39 1.1k
Jun Nara 499 0.5× 799 0.8× 391 0.6× 147 1.2× 70 1.1× 62 1.1k
Michael Rüsing 453 0.4× 689 0.7× 723 1.1× 193 1.6× 28 0.5× 53 1.2k
Eiichiro Watanabe 955 0.9× 724 0.8× 324 0.5× 229 1.9× 18 0.3× 53 1.2k
Dongchan Shin 625 0.6× 903 1.0× 493 0.7× 315 2.7× 181 3.0× 50 1.6k
Е. Е. Вдовин 1.1k 1.1× 817 0.9× 700 1.0× 271 2.3× 21 0.3× 73 1.6k
Xiaojie Xue 438 0.4× 783 0.8× 492 0.7× 147 1.2× 23 0.4× 77 1.2k
Hande Üstünel 912 0.9× 530 0.6× 889 1.3× 283 2.4× 13 0.2× 31 1.4k

Countries citing papers authored by Gui-Ping Tang

Since Specialization
Citations

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

Fields of papers citing papers by Gui-Ping Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui-Ping Tang. 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 Gui-Ping Tang. The network helps show where Gui-Ping Tang may publish in the future.

Co-authorship network of co-authors of Gui-Ping Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Gui-Ping Tang. A scholar is included among the top collaborators of Gui-Ping Tang 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 Gui-Ping Tang. Gui-Ping Tang 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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