Gui Gui

43 total papers · 1.2k total citations
27 papers, 850 citations indexed

About

Gui Gui is a scholar working on Materials Chemistry, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gui Gui has authored 27 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Gui Gui's work include Graphene research and applications (8 papers), 2D Materials and Applications (6 papers) and Software Reliability and Analysis Research (5 papers). Gui Gui is often cited by papers focused on Graphene research and applications (8 papers), 2D Materials and Applications (6 papers) and Software Reliability and Analysis Research (5 papers). Gui Gui collaborates with scholars based in China, United States and United Kingdom. Gui Gui's co-authors include Jianxin Zhong, Jin Li, Paul D. Scott, Jin Li, Zhenqiang Ma, James P. Blanchard, Kan Zhang, Chunhua Yang, Dane Morgan and Peng Lin and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Gui Gui

24 papers receiving 807 citations

Hit Papers

Band structure engineerin... 2008 2026 2014 2020 2008 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
Gui Gui 692 172 168 112 69 27 850
Yu Gao 509 0.7× 247 1.4× 25 0.1× 53 0.5× 63 0.9× 57 881
Jingzhou Li 274 0.4× 368 2.1× 165 1.0× 125 1.1× 172 2.5× 53 742
Zhiwei Yu 373 0.5× 98 0.6× 211 1.3× 60 0.5× 102 1.5× 32 780
Huaying Wang 152 0.2× 339 2.0× 136 0.8× 177 1.6× 42 0.6× 70 779
Kaixiang Chen 260 0.4× 424 2.5× 48 0.3× 205 1.8× 16 0.2× 48 746
Piotr Kamiński 551 0.8× 606 3.5× 114 0.7× 68 0.6× 83 1.2× 56 834
Mina Farmanbar 468 0.7× 196 1.1× 225 1.3× 91 0.8× 40 0.6× 29 784
Wen-Chieh Shih 262 0.4× 335 1.9× 43 0.3× 49 0.4× 16 0.2× 42 986
M. V. Marquezini 135 0.2× 223 1.3× 315 1.9× 126 1.1× 26 0.4× 35 741
P. V. Varde 256 0.4× 447 2.6× 75 0.4× 132 1.2× 6 0.1× 34 898

Countries citing papers authored by Gui Gui

Since Specialization
Citations

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

Fields of papers citing papers by Gui Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui Gui

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026