Hai Canh Vu

731 total citations
29 papers, 516 citations indexed

About

Hai Canh Vu is a scholar working on Safety, Risk, Reliability and Quality, Software and Accounting. According to data from OpenAlex, Hai Canh Vu has authored 29 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Safety, Risk, Reliability and Quality, 9 papers in Software and 6 papers in Accounting. Recurrent topics in Hai Canh Vu's work include Reliability and Maintenance Optimization (14 papers), Software Reliability and Analysis Research (9 papers) and Life Cycle Costing Analysis (6 papers). Hai Canh Vu is often cited by papers focused on Reliability and Maintenance Optimization (14 papers), Software Reliability and Analysis Research (9 papers) and Life Cycle Costing Analysis (6 papers). Hai Canh Vu collaborates with scholars based in France, Vietnam and Austria. Hai Canh Vu's co-authors include Phuc Do, Anne Barros, Christophe Bérenguer, Mitra Fouladirad, Antoine Grall, Benoît Iung, Khac Tuan Huynh, Benoit Iung, Lam Pham and Dat Ngo and has published in prestigious journals such as Applied Energy, International Journal of Production Research and Neurocomputing.

In The Last Decade

Hai Canh Vu

24 papers receiving 501 citations

Peers

Hai Canh Vu
Rui Zheng China
Suzan Alaswad United Arab Emirates
Robin Nicolai Netherlands
M.D. Berrade Spain
Siqi Wang China
Jinglei Sun China
Jingyuan Shen China
Kuo‐Shong Wang Taiwan
Rui Zheng China
Hai Canh Vu
Citations per year, relative to Hai Canh Vu Hai Canh Vu (= 1×) peers Rui Zheng

Countries citing papers authored by Hai Canh Vu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Canh Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Canh Vu

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

All Works

20 of 20 papers shown
1.
Zheng, Nan, Md. Kamruzzaman, Hai Canh Vu, & Graham Currie. (2025). Environmental impacts of autonomous vehicles. Transportation Research Part D Transport and Environment. 143. 104747–104747.
2.
Vu, Hai Canh & Daejun Chang. (2025). Life cycle global warming impact of a green hydrogen supply chain: A case study of Australia to South Korea. Applied Energy. 397. 126339–126339.
3.
4.
Do, Phuc, et al.. (2025). A modified TimeGAN-based data augmentation approach for the state of health prediction of Lithium-Ion Batteries. Reliability Engineering & System Safety. 264. 111297–111297. 6 indexed citations
5.
Pham, Lam, Dat Q. Tran, Tin Nguyen, et al.. (2025). A comprehensive survey with critical analysis for deepfake speech detection. Computer Science Review. 57. 100757–100757. 3 indexed citations
6.
Vu, Hai Canh, et al.. (2024). Unsupervised detecting anomalies in multivariate time series by Robust Convolutional LSTM Encoder–Decoder (RCLED). Neurocomputing. 592. 127791–127791. 3 indexed citations
7.
Tran, Khoa, et al.. (2024). Robust-MBDL: A Robust Multi-Branch Deep-Learning-Based Model for Remaining Useful Life Prediction of Rotating Machines. Mathematics. 12(10). 1569–1569. 5 indexed citations
8.
Pham, Lam, et al.. (2023). Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts. Applied Acoustics. 211. 109489–109489. 5 indexed citations
9.
Vu, Hai Canh, et al.. (2023). Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production. Mathematics. 11(22). 4602–4602. 2 indexed citations
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Vu, Hai Canh, et al.. (2023). Different methods for RUL prediction considering sensor degradation. Reliability Engineering & System Safety. 243. 109897–109897. 16 indexed citations
13.
Vu, Hai Canh, et al.. (2023). Modelling and application of joint maintenance grouping and workload smoothing for an automotive plant. International Journal of Production Research. 62(8). 2832–2852. 2 indexed citations
14.
Huynh, Khac Tuan, et al.. (2022). A predictive maintenance model for k-out-of-n:F continuously deteriorating systems subject to stochastic and economic dependencies. Reliability Engineering & System Safety. 226. 108671–108671. 22 indexed citations
15.
Vu, Hai Canh, Antoine Grall, Mitra Fouladirad, & Khac Tuan Huynh. (2021). A predictive maintenance policy considering the market price volatility for deteriorating systems. Computers & Industrial Engineering. 162. 107686–107686. 6 indexed citations
16.
Do, Phuc, et al.. (2019). Dynamic maintenance grouping and routing for geographically dispersed production systems. Reliability Engineering & System Safety. 185. 392–404. 35 indexed citations
17.
Vu, Hai Canh, Phuc Do, & Anne Barros. (2018). A Study on the Impacts of Maintenance Duration on Dynamic Grouping Modeling and Optimization of Multicomponent Systems. IEEE Transactions on Reliability. 67(3). 1377–1392. 22 indexed citations
18.
Vu, Hai Canh, et al.. (2018). A priori indicator identification to support predictive maintenance: application to machine tool. PHM Society European Conference. 4(1). 3 indexed citations
19.
Do, Phuc, et al.. (2018). Energy efficiency for condition-based maintenance decision-making: Application to a manufacturing platform. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 232(4). 379–388. 16 indexed citations
20.
Do, Phuc, Hai Canh Vu, Anne Barros, & Christophe Bérenguer. (2012). Grouping maintenance strategy with availability constraint under limited repairmen. IFAC Proceedings Volumes. 45(20). 486–491. 19 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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