Tai-Yu Ma

1.0k total citations
33 papers, 672 citations indexed

About

Tai-Yu Ma is a scholar working on Transportation, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Tai-Yu Ma has authored 33 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Transportation, 17 papers in Automotive Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Tai-Yu Ma's work include Transportation Planning and Optimization (19 papers), Transportation and Mobility Innovations (17 papers) and Urban Transport and Accessibility (14 papers). Tai-Yu Ma is often cited by papers focused on Transportation Planning and Optimization (19 papers), Transportation and Mobility Innovations (17 papers) and Urban Transport and Accessibility (14 papers). Tai-Yu Ma collaborates with scholars based in Luxembourg, France and Belgium. Tai-Yu Ma's 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 and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Energy.

In The Last Decade

Tai-Yu Ma

32 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tai-Yu Ma Luxembourg	14	382	375	196	155	79	33	672
Alessandro Luè Italy	12	466 1.2×	303 0.8×	191 1.0×	174 1.1×	128 1.6×	23	638
Dávid Földes Hungary	14	372 1.0×	195 0.5×	211 1.1×	91 0.6×	40 0.5×	46	572
Arkopal Kishore Goswami India	12	151 0.4×	330 0.9×	94 0.5×	76 0.5×	60 0.8×	50	603
Mark Horn Australia	12	339 0.9×	291 0.8×	72 0.4×	154 1.0×	39 0.5×	24	550
Neema Nassir Australia	15	328 0.9×	650 1.7×	42 0.2×	284 1.8×	75 0.9×	58	869
Karin Brundell-Freij Sweden	11	378 1.0×	447 1.2×	72 0.4×	118 0.8×	16 0.2×	34	713
Menno Yap Netherlands	12	384 1.0×	585 1.6×	31 0.2×	149 1.0×	68 0.9×	29	752
Miloš Balać Switzerland	17	778 2.0×	736 2.0×	74 0.4×	190 1.2×	237 3.0×	65	1.1k
Scott Le Vine United Kingdom	17	706 1.8×	622 1.7×	85 0.4×	206 1.3×	320 4.1×	51	992
Sandra Melo Portugal	11	344 0.9×	287 0.8×	94 0.5×	361 2.3×	135 1.7×	25	665

Countries citing papers authored by Tai-Yu Ma

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tai-Yu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Yu Ma. A scholar is included among the top collaborators of Tai-Yu Ma 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 Tai-Yu Ma. Tai-Yu Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ma, Tai-Yu, et al.. (2024). A hybrid metaheuristic to optimize electric first-mile feeder services with charging synchronization constraints and customer rejections. Transportation Research Part E Logistics and Transportation Review. 185. 103505–103505.

Ma, Tai-Yu, et al.. (2022). Survey of charging management and infrastructure planning for electrified demand-responsive transport systems: Methodologies and recent developments. European Transport Research Review. 14(1). 11 indexed citations

He, Jiajing & Tai-Yu Ma. (2022). Examining the factors influencing microtransit users’ next ride decisions using Bayesian networks. European Transport Research Review. 14(1). 1 indexed citations

Ma, Tai-Yu & Sébastien Faye. (2022). Multistep electric vehicle charging station occupancy prediction using hybrid LSTM neural networks. Energy. 244. 123217–123217. 90 indexed citations

Li, Li, et al.. (2021). A Node-Charge Graph-Based Online Carshare Rebalancing Policy with Capacitated Electric Charging. Transportation Science. 56(3). 654–676. 24 indexed citations

Ma, Tai-Yu. (2021). Two-stage battery recharge scheduling and vehicle-charger assignment policy for dynamic electric dial-a-ride services. PLoS ONE. 16(5). e0251582–e0251582. 8 indexed citations

Ma, Tai-Yu, et al.. (2021). Hyperparameter Optimization for Neural Network based Taxi Demand Prediction. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations

Ma, Tai-Yu, et al.. (2020). A user-operator assignment game with heterogeneous user groups for empirical evaluation of a microtransit service in Luxembourg. Transportmetrica A Transport Science. 17(4). 946–973. 13 indexed citations

Ma, Tai-Yu, et al.. (2020). Optimal fast charging station locations for electric ridesharing with vehicle-charging station assignment. Transportation Research Part D Transport and Environment. 90. 102682–102682. 71 indexed citations

10.

Ma, Tai-Yu. (2020). Optimal charging scheduling for dynamic dial-a-ride services using electric vehicles.. 1 indexed citations

11.

Ma, Tai-Yu & Yoann Pigné. (2019). Bayesian Dynamic Linear Model with Adaptive Parameter Estimation for Short-Term Travel Speed Prediction. Journal of Advanced Transportation. 2019. 1–10. 9 indexed citations

12.

Ma, Tai-Yu, et al.. (2019). A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers. Transportation Research Part E Logistics and Transportation Review. 128. 417–442. 112 indexed citations

13.

Ma, Tai-Yu & Sylvain Klein. (2018). Bayesian networks for constrained location choice modeling using structural restrictions and model averaging. European journal of transport and infrastructure research. 6 indexed citations

14.

Ma, Tai-Yu, et al.. (2018). Modeling discretionary activity location choice using detour factors and sampling of alternatives for mixed logit models. Journal of Transport Geography. 72. 151–165. 12 indexed citations

15.

Ma, Tai-Yu. (2017). On-demand dynamic Bi-/multi-modal ride-sharing using optimal passenger-vehicle assignments. 1–5. 18 indexed citations

16.

Ma, Tai-Yu & Roberta Di Pace. (2017). Comparing paradigms for strategy learning of route choice with traffic information under uncertainty. Expert Systems with Applications. 88. 352–367. 10 indexed citations

17.

Raux, Charles, et al.. (2014). A LUTI agent-based model of Lyon area: welfare analysis of some scenarios. 3 indexed citations

18.

González-Feliu, Jesús, Joëlle Morana, Josep Maria Salanova Grau, & Tai-Yu Ma. (2013). Design and Scenario Assessment for Collaborative Logistics and Freight Transport Systems. RePEc: Research Papers in Economics. 40(2). 207–240. 38 indexed citations

19.

Raux, Charles, et al.. (2012). Variability and Anchoring Points in Weekly Activity-Travel Patterns. Transportation Research Board 91st Annual MeetingTransportation Research Board. 3 indexed citations

20.

Ma, Tai-Yu & Jean‐Patrick Lebacque. (2012). A cross entropy based multiagent approach for multiclass activity chain modeling and simulation. Transportation Research Part C Emerging Technologies. 28. 116–129. 10 indexed citations

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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