Hang Gao

120 total papers · 733 total citations
73 papers, 501 citations indexed

About

Hang Gao is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Mathematical Physics. According to data from OpenAlex, Hang Gao has authored 73 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Theory and Mathematics, 35 papers in Control and Systems Engineering and 21 papers in Mathematical Physics. Recurrent topics in Hang Gao's work include Advanced Mathematical Modeling in Engineering (36 papers), Stability and Controllability of Differential Equations (34 papers) and Advanced Mathematical Physics Problems (11 papers). Hang Gao is often cited by papers focused on Advanced Mathematical Modeling in Engineering (36 papers), Stability and Controllability of Differential Equations (34 papers) and Advanced Mathematical Physics Problems (11 papers). Hang Gao collaborates with scholars based in China, United States and Hong Kong. Hang Gao's co-authors include Qiang Tao, Ping Lin, Xu Liu, Yu Han, Shuqiang Li, Xu Liu, Bo Cai, K.C. Lam, Jiawei Li and Wei Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Physical Review A.

In The Last Decade

Hang Gao

64 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Hang Gao 234 203 173 89 61 73 501
Hui Yu 33 0.1× 250 1.2× 42 0.2× 61 0.7× 123 2.0× 67 574
Litao Zhang 27 0.1× 126 0.6× 10 0.1× 58 0.7× 26 0.4× 74 504
Thomas Lorenz 199 0.9× 203 1.0× 71 0.4× 36 0.4× 146 2.4× 52 561
Haiyang Huang 20 0.1× 23 0.1× 20 0.1× 49 0.6× 40 0.7× 44 619
Luisa Fermo 103 0.4× 18 0.1× 33 0.2× 39 0.4× 77 1.3× 38 485
Abdul Wahab 46 0.2× 18 0.1× 51 0.3× 249 2.8× 4 0.1× 84 616
Yukio Ogura 44 0.2× 122 0.6× 111 0.6× 23 0.3× 122 2.0× 54 511
Wu-Sheng Wang 63 0.3× 26 0.1× 11 0.1× 55 0.6× 236 3.9× 61 468
Ivan Cimrák 6 0.0× 79 0.4× 68 0.4× 147 1.7× 17 0.3× 63 526
Paula de Oliveira 21 0.1× 63 0.3× 21 0.1× 108 1.2× 12 0.2× 68 510

Countries citing papers authored by Hang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Gao

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