Khanh T.P. Nguyen

1.6k total citations · 1 hit paper
57 papers, 1.1k citations indexed

About

Khanh T.P. Nguyen is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Mechanical Engineering. According to data from OpenAlex, Khanh T.P. Nguyen has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 18 papers in Safety, Risk, Reliability and Quality and 12 papers in Mechanical Engineering. Recurrent topics in Khanh T.P. Nguyen's work include Fault Detection and Control Systems (23 papers), Machine Fault Diagnosis Techniques (19 papers) and Reliability and Maintenance Optimization (17 papers). Khanh T.P. Nguyen is often cited by papers focused on Fault Detection and Control Systems (23 papers), Machine Fault Diagnosis Techniques (19 papers) and Reliability and Maintenance Optimization (17 papers). Khanh T.P. Nguyen collaborates with scholars based in France, Chile and Canada. Khanh T.P. Nguyen's co-authors include Kamal Medjaher, Antoine Grall, Christian Gogu, Mitra Fouladirad, Bruno Castanier, Thomas G. Yeung, Abdenour Soualhi, Jérôme Morio, Kamel Eddine Hemsas and Julie Beugin and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Khanh T.P. Nguyen

53 papers receiving 1.1k citations

Hit Papers

A new dynamic predictive maintenance framework using deep... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khanh T.P. Nguyen France 16 573 391 222 163 146 57 1.1k
Yifan Zhou China 21 311 0.5× 549 1.4× 181 0.8× 89 0.5× 194 1.3× 79 1.1k
Masoud Ghaffari United States 6 934 1.6× 309 0.8× 431 1.9× 297 1.8× 93 0.6× 18 1.3k
Pierre Dersin France 12 486 0.8× 170 0.4× 200 0.9× 93 0.6× 70 0.5× 48 832
Mihaela Mitici Netherlands 19 385 0.7× 333 0.9× 79 0.4× 73 0.4× 138 0.9× 47 1.1k
Huawei Wang China 17 653 1.1× 156 0.4× 354 1.6× 224 1.4× 90 0.6× 67 1.1k
Mohamed-Salah Ouali Canada 13 302 0.5× 246 0.6× 151 0.7× 83 0.5× 129 0.9× 38 726
N. Zerhouni France 14 800 1.4× 325 0.8× 514 2.3× 201 1.2× 84 0.6× 25 1.4k
Andrew Hess United States 16 1.2k 2.0× 393 1.0× 336 1.5× 238 1.5× 261 1.8× 47 1.7k
Chuanhai Chen China 16 309 0.5× 174 0.4× 354 1.6× 172 1.1× 118 0.8× 93 843

Countries citing papers authored by Khanh T.P. Nguyen

Since Specialization
Citations

This map shows the geographic impact of Khanh T.P. Nguyen'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 Khanh T.P. Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khanh T.P. Nguyen more than expected).

Fields of papers citing papers by Khanh T.P. Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khanh T.P. Nguyen. 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 Khanh T.P. Nguyen. The network helps show where Khanh T.P. Nguyen may publish in the future.

Co-authorship network of co-authors of Khanh T.P. Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Khanh T.P. Nguyen. A scholar is included among the top collaborators of Khanh T.P. Nguyen 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 Khanh T.P. Nguyen. Khanh T.P. Nguyen 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
2.
Zemouri, Ryad, et al.. (2025). Prognostics of complex machinery with sparse multilabel multimodal run-to-failure data: A graph neural network approach. Advanced Engineering Informatics. 65. 103361–103361.
3.
Lê, Hung, Khanh T.P. Nguyen, Christian Gogu, et al.. (2025). A generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data. Applied Energy. 384. 125314–125314. 7 indexed citations
4.
Nguyen, Khanh T.P., et al.. (2024). Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration. Engineering Applications of Artificial Intelligence. 138. 109268–109268. 4 indexed citations
5.
Nguyen, Khanh T.P., et al.. (2024). Enhancing industrial prognostic accuracy in noisy and missing data context: assessing multimodal learning performance. Journal of Intelligent Manufacturing. 37(1). 373–397. 1 indexed citations
6.
Nguyen, Khanh T.P., et al.. (2024). Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors. Engineering Applications of Artificial Intelligence. 133. 108186–108186. 2 indexed citations
7.
Nguyen, Khanh T.P., et al.. (2024). Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. Espace ÉTS (ETS). 530–535. 1 indexed citations
8.
Nguyen, Khanh T.P., et al.. (2024). Physics informed machine learning model for inverse dynamics in robotic manipulators. Applied Soft Computing. 163. 111877–111877. 7 indexed citations
9.
Nguyen, Khanh T.P., et al.. (2024). Enhancing Trustworthiness in AI-Based Prognostics: A Comprehensive Review of Explainable AI for PHM. 101–136. 2 indexed citations
10.
Soualhi, Abdenour, et al.. (2023). Open Heterogeneous Data for Condition Monitoring of Multi Faults in Rotating Machines Used in Different Operating Conditions. International Journal of Prognostics and Health Management. 14(2). 2 indexed citations
11.
Nguyen, Khanh T.P., et al.. (2023). Explainable multimodal learning for predictive maintenance of steam generators. 4(1). 2 indexed citations
12.
Nguyen, Khanh T.P., et al.. (2022). Physics-informed Lightweight Temporal Convolution Networks for Fault Prognostics Associated to Bearing Stiffness Degradation. PHM Society European Conference. 7(1). 118–125. 8 indexed citations
13.
Nguyen, Khanh T.P., et al.. (2020). Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors. Applied Energy. 283. 116049–116049. 12 indexed citations
14.
Barbieri, Matteo, Khanh T.P. Nguyen, Roberto Diversi, Kamal Medjaher, & Andrea Tilli. (2020). RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques. Journal of Intelligent Manufacturing. 32(5). 1421–1440. 16 indexed citations
15.
Nguyen, Khanh T.P., et al.. (2020). Online joint estimation and prediction for system-level prognostics under component interactions and mission profile effects. ISA Transactions. 113. 52–63. 10 indexed citations
16.
Khlaief, Amor, et al.. (2019). Feature Engineering for Ball Bearing Combined-Fault Detection and Diagnostic. SPIRE - Sciences Po Institutional REpository. 384–390. 14 indexed citations
17.
Nguyen, Khanh T.P., et al.. (2019). Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process. 10. 1243–1248. 5 indexed citations
18.
Nguyen, Khanh T.P., Phuc Do, Khac Tuan Huynh, Christophe Bérenguer, & Antoine Grall. (2019). Joint optimization of monitoring quality and replacement decisions in condition-based maintenance. Reliability Engineering & System Safety. 189. 177–195. 64 indexed citations
19.
Nguyen, Khanh T.P., et al.. (2019). Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals. Measurement. 141. 37–51. 86 indexed citations
20.
Mustapha, Samir, et al.. (2015). Pattern Recognition Based on Time Series Analysis Using Vibration Data for Structural Health Monitoring in Civil Structures. Electronic Journal of Structural Engineering. 14(1). 106–115. 9 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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