Ge Cui

494 citations
16 papers · 304 · h-index 10

Impact in

    • Human Mobility and Location-Based Analysis
    • Transportation Planning and Optimization
    • Urban Transport and Accessibility
    • Traffic Prediction and Management Techniques

Papers in

    • Data Management and Algorithms 7
    • Human Mobility and Location-Based Analysis 6
    • Transportation Planning and Optimization 2

Ge Cui

15 papers receiving 296 citations

Peers

Ge Cui
Comparison fields: 5 of 69
  • Transportation 150
  • Building and Construction 91
  • Signal Processing 69
  • Automotive Engineering 61
  • Business and International Management 6
Replace Can Yang with:
Can Yang China
Massimiliano Luca Italy
Menglin Wang China
Haomin Wen China
Yao-Jan Wu United States
Jiwon Kim Australia
Samet Ayhan United States
Weijia Zhang China
Noelia Cáceres Spain
Ge Cui relative to Can Yang China Can Yang's profile →
Citations per field
00.5×1.5×2×2.5×
Can Yang · 1×
Citations per year

Countries citing papers authored by Ge Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ge Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ge Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ge Cui Line = papers co-authored together Ge Cui links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017102
2 201959
3 201924
4 201923
5 202117
6 202017
7 202114
8 201514
9 202012
10 201910
11 20175
12 20202
13 20122
14 20112
15
BR 2 : A Travel Behavioral Approach to Personalized Route Recommendation Based on GPS Trajectories.
20201
16 20260

About Ge Cui

Ge Cui is a scholar working on Signal Processing, Transportation, Building and Construction, Automotive Engineering and Information Systems, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Human Mobility and Location-Based Analysis (6 papers), Traffic Prediction and Management Techniques (5 papers), MRI in cancer diagnosis (2 papers), Geographic Information Systems Studies (2 papers), Automated Road and Building Extraction (2 papers), Transportation Planning and Optimization (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Transportation (150 citations), Building and Construction (91 citations), Signal Processing (69 citations), Automotive Engineering (61 citations) and Business and International Management (6 citations). Ge Cui has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xin Wang, Jun Luo, Xin Wang, Xin Wang, Ming Zhong, Xin Wang, Hui Mao, Xiaofeng Yang, Xianwei Wang and Ying Huang. Their work appears in journals such as GeoInformatica, IEEE Transactions on Intelligent Transportation Systems, Accident Analysis & Prevention, International Journal of Digital Earth and International Journal of Disaster Risk Reduction.

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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