Tai-Yu Ma
- Transportation top 1%
- Transportation Planning and Optimization 19
- Urban Transport and Accessibility 14
- Automotive Engineering top 2%
- Transportation and Mobility Innovations 17
- Building and Construction top 5%
- Traffic Prediction and Management Techniques 3
- Marketing top 10%
- Sharing Economy and Platforms 5
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- Electric Vehicles and Infrastructure 8
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- Economic and Environmental Valuation 5
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- Traffic control and management 3
- Co-authors
- Joseph Y.J. ChowSébastien FayeSylvain KleinCharles RauxPhilippe GerberJean‐Patrick LebacqueJesús González-FeliuJosep Maria Salanova Grau
- Partner nations
- LuxembourgFranceBelgium
In The Last Decade
Tai-Yu Ma
32 papers receiving 647 citations
Peers
Comparison fields: 5 of 70
- Transportation 375
- Automotive Engineering 382
- Building and Construction 155
- Marketing 79
- Industrial and Manufacturing Engineering 43
Countries citing papers authored by Tai-Yu Ma
This map shows the geographic impact of Tai-Yu Ma'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 Tai-Yu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai-Yu Ma more than expected).
Fields of papers citing papers by Tai-Yu Ma
This network shows the impact of papers produced by Tai-Yu Ma. 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 Tai-Yu Ma. The network helps show where Tai-Yu Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tai-Yu Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 11 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 90 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 8 | |
| 7 | Hyperparameter Optimization for Neural Network based Taxi Demand Prediction | 2021 | 1 |
| 8 | 2020 | 13 | |
| 9 | 2020 | 71 | |
| 10 | Optimal charging scheduling for dynamic dial-a-ride services using electric vehicles. | 2020 | 1 |
| 11 | 2019 | 9 | |
| 12 | 2019 | 112 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 12 | |
| 15 | 2017 | 18 | |
| 16 | 2017 | 10 | |
| 17 | A LUTI agent-based model of Lyon area: welfare analysis of some scenarios | 2014 | 3 |
| 18 | Design and Scenario Assessment for Collaborative Logistics and Freight Transport Systems | 2013 | 38 |
| 19 | Variability and Anchoring Points in Weekly Activity-Travel Patterns | 2012 | 3 |
| 20 | 2012 | 10 |
About Tai-Yu Ma
Tai-Yu Ma is a scholar working on Transportation, Automotive Engineering and Marketing, having authored 33 papers that have together received 672 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (19 papers), Transportation and Mobility Innovations (17 papers), Urban Transport and Accessibility (14 papers), Electric Vehicles and Infrastructure (8 papers), Economic and Environmental Valuation (5 papers), Sharing Economy and Platforms (5 papers), Traffic Prediction and Management Techniques (3 papers) and Traffic control and management (3 papers). The work is most often cited by research in Transportation (375 citations), Automotive Engineering (382 citations) and Building and Construction (155 citations). Tai-Yu Ma has collaborated with scholars based in Luxembourg, France and Belgium. Frequent co-authors include Joseph Y.J. Chow, Sébastien Faye, Sylvain Klein, Charles Raux, Philippe Gerber, Jean‐Patrick Lebacque, Jesús González-Feliu, Josep Maria Salanova Grau, Joëlle Morana and Véronique Van Acker.
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.