Ge Gao

38 total papers · 5.7k total citations
22 papers, 3.8k citations indexed

About

Ge Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Ge Gao has authored 22 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Computer Science Applications. Recurrent topics in Ge Gao's work include Context-Aware Activity Recognition Systems (5 papers), Online Learning and Analytics (3 papers) and Mobile Learning in Education (3 papers). Ge Gao is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Online Learning and Analytics (3 papers) and Mobile Learning in Education (3 papers). Ge Gao collaborates with scholars based in China, United States and Germany. Ge Gao's co-authors include Jinpu Jin, He Zhang, An‐Yuan Guo, Jingchu Luo, Bo Hu, Kamin Whitehouse, Tamim Sookoor, Vijay Srinivasan, Jiakang Lu and John A. Stankovic and has published in prestigious journals such as Bioinformatics, Sensors and IEEE Sensors Journal.

In The Last Decade

Ge Gao

20 papers receiving 3.8k citations

Hit Papers

GSDS 2.0: an upgraded gen... 2010 2026 2015 2020 2014 2010 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Ge Gao 2.6k 2.0k 301 272 152 22 3.8k
Liang-Bi Chen 2.3k 0.9× 1.3k 0.6× 330 1.1× 130 0.5× 352 2.3× 220 4.2k
Peter Meinicke 913 0.4× 2.0k 1.0× 107 0.4× 70 0.3× 110 0.7× 54 4.1k
Zhibin Liu 1.0k 0.4× 915 0.5× 144 0.5× 32 0.1× 112 0.7× 176 2.6k
Wen‐Hui Lin 1.3k 0.5× 951 0.5× 176 0.6× 23 0.1× 66 0.4× 121 2.8k
Jian Lv 1.4k 0.5× 839 0.4× 274 0.9× 21 0.1× 232 1.5× 175 3.1k
Lichao Zhang 586 0.2× 1.4k 0.7× 136 0.5× 79 0.3× 312 2.1× 110 3.0k
Seon‐Woo Lee 1.9k 0.7× 1.1k 0.6× 229 0.8× 17 0.1× 96 0.6× 169 4.0k
Hongtao Liu 4.8k 1.9× 3.8k 1.9× 52 0.2× 114 0.4× 19 0.1× 147 6.9k
Jeongsik Kim 2.8k 1.1× 2.2k 1.1× 97 0.3× 440 1.6× 10 0.1× 136 4.3k
Changying Li 3.2k 1.2× 452 0.2× 214 0.7× 30 0.1× 226 1.5× 181 5.2k

Countries citing papers authored by Ge Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ge Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Gao

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