Van Tung Tran

1.6k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Van Tung Tran is a scholar working on Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Van Tung Tran has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 10 papers in Mechanics of Materials and 9 papers in Mechanical Engineering. Recurrent topics in Van Tung Tran's work include Machine Fault Diagnosis Techniques (23 papers), Fault Detection and Control Systems (11 papers) and Engineering Diagnostics and Reliability (7 papers). Van Tung Tran is often cited by papers focused on Machine Fault Diagnosis Techniques (23 papers), Fault Detection and Control Systems (11 papers) and Engineering Diagnostics and Reliability (7 papers). Van Tung Tran collaborates with scholars based in South Korea, United Kingdom and Australia. Van Tung Tran's co-authors include Bo‐Suk Yang, Andrew Ball, Faisal Althobiani, Andy Tan, Tan Tien Nguyen, Fengshou Gu, Byeong-Keun Choi, Tiedo Tinga, Gang Niu and Bo Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Mechanical Systems and Signal Processing.

In The Last Decade

Van Tung Tran

30 papers receiving 1.3k citations

Hit Papers

An approach to fault diagnosis of reciprocating compresso... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks
    2014 329 citations Van Tung Tran, Faisal Althobiani et al. Expert Systems with Applications profile →

Peers

Van Tung Tran
Zheng Zhou China
Yingkui Gu China
Yiwei Cheng China
Brigitte Chebel‐Morello France
Xianguang Kong China
Tian Han China
Masoud Ghaffari United States
Joo-Ho Choi South Korea
Zheng Zhou China
Van Tung Tran
Citations per year, relative to Van Tung Tran Van Tung Tran (= 1×) peers Zheng Zhou

Countries citing papers authored by Van Tung Tran

Since Specialization
Citations

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

Fields of papers citing papers by Van Tung Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van Tung Tran. 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 Van Tung Tran. The network helps show where Van Tung Tran may publish in the future.

Co-authorship network of co-authors of Van Tung Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Van Tung Tran. A scholar is included among the top collaborators of Van Tung Tran 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 Van Tung Tran. Van Tung Tran 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.
Hoang, Son A., et al.. (2023). Evaluating the learning performances for CNC machine practice in mechanical engineering degree courses based on students’ mental workload. International Journal of Mechanical Engineering Education. 52(2). 205–220. 3 indexed citations
2.
3.
Tran, Van Tung, et al.. (2022). Factor affecting the implementation of responsibility accounting on firm performance – Empirical analysis of listed textile firms. Cogent Business & Management. 9(1). 9 indexed citations
4.
5.
Tran, Van Tung, Faisal Althobiani, Tiedo Tinga, Andrew Ball, & Gang Niu. (2017). Single and combined fault diagnosis of reciprocating compressor valves using a hybrid deep belief network. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 232(20). 3767–3780. 35 indexed citations
6.
Tran, Van Tung, Danping Liu, Anuj K. Pradhan, et al.. (2015). Assessing risk-taking in a driving simulator study: Modeling longitudinal semi-continuous driving data using a two-part regression model with correlated random effects. Analytic Methods in Accident Research. 5-6. 17–27. 9 indexed citations
7.
Tran, Van Tung, Faisal Althobiani, & Andrew Ball. (2014). An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks. Expert Systems with Applications. 41(9). 4113–4122. 329 indexed citations breakdown →
8.
Liang, Bo, Simon Iwnicki, Fengshou Gu, et al.. (2013). Railway Wheel Flat and Rail Surface Defect Detection by Time-Frequency Analysis. SHILAP Revista de lepidopterología. 12 indexed citations
9.
Tran, Van Tung, Robert Cattley, Andrew Ball, Bo Liang, & Simon Iwnicki. (2013). Fault diagnosis of induction motor based on a novel intelligent framework and transient current signals. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Tran, Van Tung, et al.. (2013). An investigation on energy recovery analysis of active suspension system. Huddersfield Research Portal (University of Huddersfield). 1–6. 4 indexed citations
11.
Tran, Van Tung, et al.. (2013). Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector machine for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing. 38(2). 601–614. 115 indexed citations
12.
Zhen, Dong, Tao Wang, Fengshou Gu, Van Tung Tran, & Andrew Ball. (2012). Combustion Analysis of a CI Engine with Biodiesel Blends based on Vibro-Acoustic Measurement. Huddersfield Research Portal (University of Huddersfield). 1 indexed citations
13.
Tran, Van Tung, et al.. (2012). Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine. Mechanical Systems and Signal Processing. 32. 320–330. 197 indexed citations
14.
Tran, Van Tung. (2011). Wireless Condition-based Maintenance System for Rotating Machinery. University of Huddersfield Repository (University of Huddersfield). 1 indexed citations
15.
Tran, Van Tung & Bo‐Suk Yang. (2010). Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems. Control and Cybernetics. 39(1). 25–54. 8 indexed citations
16.
Tran, Van Tung, et al.. (2009). A hybrid of nonlinear autoregressive model with exogenous input and autoregressive moving average model for long-term machine state forecasting. Expert Systems with Applications. 37(4). 3310–3317. 64 indexed citations
17.
Tran, Van Tung & Bo‐Suk Yang. (2009). Data-driven approach to machine condition prognosis using least square regression tree. Journal of Mechanical Science and Technology. 23(5). 1468–1475. 12 indexed citations
18.
Tran, Van Tung & Bo‐Suk Yang. (2008). Machine condition prognosis using multi-step ahead prediction and neuro-fuzzy systems. University of Twente Research Information. 3 indexed citations
19.
Tran, Van Tung, et al.. (2007). Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference. Expert Systems with Applications. 36(2). 1840–1849. 173 indexed citations
20.
Tran, Van Tung, et al.. (2006). Fault Diagnosis of Induction Motors using Decision Trees. University of Huddersfield Repository (University of Huddersfield). 2 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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