Vu Le

35 papers receiving 354 citations

Peers

Vu Le
Comparison fields: 5 of 66
  • Statistics, Probability and Uncertainty 96
  • Medical Laboratory Technology 17
  • Radiological and Ultrasound Technology 45
  • Control and Systems Engineering 105
  • Industrial and Manufacturing Engineering 37
Replace Arthur Henrique de Andrade Melani with:
Arthur Henrique de Andrade Melani Brazil
Takehisa Kohda Japan
Zineb Simeu-Abazi France
Bryan M. O’Halloran United States
David C. Jensen United States
Guixiang Shen China
Binbin Xu China
Ming‐Yi You China
Carla Di Cairano‐Gilfedder United Kingdom
Faïda Mhenni France
Vu Le relative to Arthur Henrique de Andrade Melani Brazil Arthur Henrique de Andrade Melani's profile →
Citations per field
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Arthur Henrique de Andrade Melani · 1×
Citations per year

Countries citing papers authored by Vu Le

Since Specialization
Citations

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

Fields of papers citing papers by Vu Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vu Le, 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 Vu Le Line = papers co-authored together Vu Le links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 202131
3 202219
4 200716
5 200115
6 201912
7 201810
8 201210
9 201010
10 201910
11 20128
12 20218
13
Kinect crowd interaction
20128
14 20158
15 20237
16 20217
17 20237
18 20057
19 20215
20 20174

About Vu Le

Vu Le is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 37 papers that have together received 359 indexed citations. Recurring topics across this work include Electrical Fault Detection and Protection (9 papers), Simulation Techniques and Applications (8 papers), Scheduling and Optimization Algorithms (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Risk and Safety Analysis (4 papers), Electrostatic Discharge in Electronics (4 papers) and Operations Management Techniques (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (96 citations), Medical Laboratory Technology (17 citations), Radiological and Ultrasound Technology (45 citations), Control and Systems Engineering (105 citations) and Industrial and Manufacturing Engineering (37 citations). Vu Le has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include Xiu Yao, Chad Miller, Bang‐Hung Tsao, Doug Creighton, Saeid Nahavandi, Michael Johnstone, Christy Chuang‐Stein, Saeid Nahavandi, William Chen and James Zhang. Their work appears in journals such as Soft Computing, IEEE Transactions on Power Electronics, Expert Systems with Applications, IEEE Journal of Emerging and Selected Topics in Power Electronics and Economics Letters.

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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