Linxia Liao

3.2k total citations · 2 hit papers
19 papers, 2.5k citations indexed

About

Linxia Liao is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Linxia Liao has authored 19 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Linxia Liao's work include Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (10 papers) and Industrial Vision Systems and Defect Detection (5 papers). Linxia Liao is often cited by papers focused on Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (10 papers) and Industrial Vision Systems and Defect Detection (5 papers). Linxia Liao collaborates with scholars based in United States, Germany and Japan. Linxia Liao's co-authors include Felix Köttig, Jay Lee, David Siegel, Wenyu Zhao, Masoud Ghaffari, Radu Pavel, Wenjing Jin, John P. Snyder, Jong-An Park and Jianhua Ma and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Journal of Sound and Vibration.

In The Last Decade

Linxia Liao

19 papers receiving 2.4k citations

Hit Papers

Prognostics and health management design for rotary machi... 2013 2026 2017 2021 2013 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linxia Liao United States 12 1.8k 825 709 487 269 19 2.5k
Haiping Zhu China 22 1.3k 0.7× 730 0.9× 431 0.6× 437 0.9× 200 0.7× 80 2.2k
Ningbo Li China 7 2.8k 1.6× 1.6k 2.0× 1.0k 1.4× 754 1.5× 205 0.8× 16 3.5k
Ningyun Lu China 33 2.7k 1.5× 1.3k 1.5× 435 0.6× 246 0.5× 355 1.3× 166 3.5k
Hongfu Zuo China 20 747 0.4× 495 0.6× 314 0.4× 297 0.6× 321 1.2× 163 1.7k
Cheng‐Geng Huang China 21 986 0.5× 540 0.7× 316 0.4× 228 0.5× 334 1.2× 37 1.7k
Xiaohang Jin China 20 1.6k 0.9× 853 1.0× 364 0.5× 365 0.7× 260 1.0× 54 2.1k
Brigitte Chebel‐Morello France 14 1.3k 0.7× 757 0.9× 308 0.4× 401 0.8× 127 0.5× 33 1.7k
Andrew Hess United States 16 1.2k 0.6× 336 0.4× 393 0.6× 238 0.5× 198 0.7× 47 1.7k
Yiwei Cheng China 16 1.3k 0.7× 774 0.9× 279 0.4× 418 0.9× 197 0.7× 46 1.8k
Viliam Makiš Canada 37 1.3k 0.7× 670 0.8× 1.9k 2.7× 390 0.8× 141 0.5× 123 3.4k

Countries citing papers authored by Linxia Liao

Since Specialization
Citations

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

Fields of papers citing papers by Linxia Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linxia Liao

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

All Works

19 of 19 papers shown
1.
Liao, Linxia, et al.. (2020). Combining Deep Learning and Survival Analysis for Asset Health Management. International Journal of Prognostics and Health Management. 7(4). 13 indexed citations
2.
Liao, Linxia & Felix Köttig. (2016). A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction. Applied Soft Computing. 44. 191–199. 193 indexed citations
3.
Liao, Linxia, Wenjing Jin, & Radu Pavel. (2016). Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment. IEEE Transactions on Industrial Electronics. 63(11). 7076–7083. 229 indexed citations
4.
Liao, Linxia, Tomonori Honda, & Radu Pavel. (2015). Device Health Estimation by Combining Contextual Control Information with Sensor Data and Device Health Prognostics Utilizing Restricted Boltzmann Machine. Annual Conference of the PHM Society. 7(1). 1 indexed citations
5.
Liao, Linxia, et al.. (2014). A Self-Aware Machine Platform in Manufacturing Shop Floor Utilizing MTConnect Data. Annual Conference of the PHM Society. 6(1). 4 indexed citations
6.
Liao, Linxia & Felix Köttig. (2014). Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction. IEEE Transactions on Reliability. 63(1). 191–207. 416 indexed citations breakdown →
7.
Liao, Linxia, et al.. (2013). A multi-model approach for anomaly detection and diagnosis using vibration signals. 6. 1–7. 6 indexed citations
8.
9.
Liao, Linxia. (2013). Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction. IEEE Transactions on Industrial Electronics. 61(5). 2464–2472. 225 indexed citations
10.
Lee, Jay, et al.. (2013). Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications. Mechanical Systems and Signal Processing. 42(1-2). 314–334. 1144 indexed citations breakdown →
11.
Siegel, David, et al.. (2012). Novel method for rolling element bearing health assessment—A tachometer-less synchronously averaged envelope feature extraction technique. Mechanical Systems and Signal Processing. 29. 362–376. 52 indexed citations
12.
Liao, Linxia & Radu Pavel. (2012). MACHINE TOOL FEED AXIS HEALTH MONITORING USING PLUG-AND- PROGNOSE TECHNOLOGY. 12 indexed citations
13.
Ji, Kun, et al.. (2011). PROGNOSTICS ENABLED RESILIENT CONTROL FOR MODEL-BASED BUILDING AUTOMATION SYSTEMS. 12 indexed citations
15.
Liao, Linxia. (2010). An Adaptive Modeling for Robust Prognostics on a Reconfigurable Platform. OhioLink ETD Center (Ohio Library and Information Network). 11 indexed citations
16.
Chen, Min, Meikang Qiu, Linxia Liao, Jong-An Park, & Jianhua Ma. (2010). Distributed multi-hop cooperative communication in dense wireless sensor networks. The Journal of Supercomputing. 56(3). 353–369. 16 indexed citations
17.
Liao, Linxia & Jay Lee. (2009). A novel method for machine performance degradation assessment based on fixed cycle features test. Journal of Sound and Vibration. 326(3-5). 894–908. 74 indexed citations
18.
Liao, Linxia & Jay Lee. (2009). Design of a reconfigurable prognostics platform for machine tools. Expert Systems with Applications. 37(1). 240–252. 26 indexed citations
19.
Liao, Linxia, Haixia Wang, & Jay Lee. (2008). A Reconfigurable Watchdog Agent ® for Machine Health Prognostics. 10 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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