Xuan Vu

1.3k citations
14 papers · 1.0k · 1 hit paper · h-index 10

Impact in

Papers in

Xuan Vu

14 papers receiving 990 citations

Xuan Vu's Hit Papers

Local energy minimization in optimal train control 2009 · 322 citations
3220+5+11Years since publication100200300

Peers

Xuan Vu
Comparison fields: 5 of 40
  • Transportation 641
  • Industrial and Manufacturing Engineering 925
  • Mechanical Engineering 694
  • Automotive Engineering 160
  • Computational Mathematics 5
Replace Pengling Wang with:
Pengling Wang China
Yeran Huang China
M. Domínguez Spain
Pengfei Sun China
Bwo‐Ren Ke Taiwan
Adrián Fernández-Rodríguez Spain
Xuekai Wang China
Tao Tang China
Yixiang Yue China
Hideyoshi Ko Japan
Xuan Vu relative to Pengling Wang China Pengling Wang's profile →
Citations per field
00.5×5.2×
Pengling Wang · 1×
Citations per year

Countries citing papers authored by Xuan Vu

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Xuan Vu, 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 Xuan Vu Line = papers co-authored together Xuan Vu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Local energy minimization in optimal train control
Hit paper breakdown →
2009322
2 2015226
3 2015171
4 2013156
5 201540
6 201125
7 201821
8 201012
9 201811
10 20159
11 20176
12
Freightmiser: an energy-efficient application of the train control problem
20085
13 20144
14
Uniqueness of an Optimal Run-up for a Steep Incline of a Train
20091

About Xuan Vu

Xuan Vu is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Transportation, Computational Mathematics and Signal Processing, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (13 papers), Railway Engineering and Dynamics (13 papers), Transportation Planning and Optimization (10 papers), Blind Source Separation Techniques (1 paper), Tensor decomposition and applications (1 paper), Electrical Contact Performance and Analysis (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Maritime Transport Emissions and Efficiency (1 paper). The work is most often cited by research in Transportation (641 citations), Industrial and Manufacturing Engineering (925 citations), Mechanical Engineering (694 citations), Automotive Engineering (160 citations) and Computational Mathematics (5 citations). Xuan Vu has collaborated with scholars based in Australia, Romania and France. Frequent co-authors include Peter Pudney, Phil Howlett, Amie Albrecht, Peng Zhou, Robert D. Yee, David C. Coleman, Sylvain Maire, Dewang Chen, Elfrida M. Cârstea and Caroline Chaux. Their work appears in journals such as Transportation Research Part B Methodological, Automatica, Journal of Rail Transport Planning & Management, Journal of Chemometrics and UniSA Research Outputs Repository (University of South Australia).

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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