Ge Gao

59 total papers · 737 total citations
32 papers, 465 citations indexed

About

Ge Gao is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Ge Gao has authored 32 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Transportation, 12 papers in Building and Construction and 9 papers in Control and Systems Engineering. Recurrent topics in Ge Gao's work include Transportation Planning and Optimization (13 papers), Human Mobility and Location-Based Analysis (6 papers) and Urban Transport and Accessibility (6 papers). Ge Gao is often cited by papers focused on Transportation Planning and Optimization (13 papers), Human Mobility and Location-Based Analysis (6 papers) and Urban Transport and Accessibility (6 papers). Ge Gao collaborates with scholars based in China and United States. Ge Gao's co-authors include Xin Liu, Lei Fu, Mi Zhang, Huanle Zhang, Yejin Choi, Eunsol Choi, Luke Zettlemoyer, Wensi Zhang, Wei Wang and Yu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Ge Gao

25 papers receiving 450 citations

Hit Papers

Client Selection in Feder... 2023 2026 2024 2023 40 80 120

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 182 96 70 67 62 32 465
Lixin Zhou 116 0.6× 35 0.4× 25 0.4× 32 0.5× 22 0.4× 41 510
Qingyuan Zhou 100 0.5× 23 0.2× 26 0.4× 24 0.4× 15 0.2× 39 459
Jiawei Li 141 0.8× 44 0.5× 18 0.3× 22 0.3× 11 0.2× 40 454
Sampson Gholston 72 0.4× 28 0.3× 38 0.5× 47 0.7× 7 0.1× 32 513
Sha Zhao 123 0.7× 143 1.5× 8 0.1× 34 0.5× 21 0.3× 48 532
Shannon R. Bowling 44 0.2× 64 0.7× 17 0.2× 32 0.5× 16 0.3× 38 518
Jihui Zhang 85 0.5× 32 0.3× 17 0.2× 22 0.3× 7 0.1× 35 408
F. Jordan Srour 33 0.2× 52 0.5× 43 0.6× 164 2.4× 10 0.2× 42 533
Sebastián Moreno 108 0.6× 30 0.3× 10 0.1× 37 0.6× 17 0.3× 40 501
Phillip Taylor 163 0.9× 12 0.1× 40 0.6× 15 0.2× 11 0.2× 35 473

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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