Runzi Liu

593 citations
4 papers · 465 indexed · 1 hit paper · h-index 2
Topics
Non-Destructive Testing Techniques (2 papers)Machine Fault Diagnosis Techniques (2 papers)Structural Health Monitoring Techniques (1 paper)
Partner nations
United StatesCanadaChina

In The Last Decade

Runzi Liu

3 papers receiving 442 citations

Hit Papers

Residual Life Predictions From Vibration-Based Degradatio...20042026201120182004100200300400

Peers

Runzi Liu
Comparison fields: 5 of 55
  • Control and Systems Engineering 369
  • Mechanical Engineering 181
  • Safety, Risk, Reliability and Quality 152
  • Mechanics of Materials 108
  • Civil and Structural Engineering 35
Replace Sivakumar Nadarajan with:
Sivakumar Nadarajan Singapore
Romano Patrick United States
Hélio Fiori de Castro Brazil
Chris Mechefske Canada
Rolf F. Orsagh United States
Ahmed Mosallam Egypt
Ruihua Jiao China
Scott Alexander Billington United States
Zhao Xu China
Hongbo Ma China
Runzi Liu relative to Sivakumar Nadarajan Singapore Sivakumar Nadarajan's profile →
Citations per field
00.5×1.7×
Sivakumar Nadarajan · 1×
Citations per year

Countries citing papers authored by Runzi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Runzi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runzi Liu

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 0
3 25
4
Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approachbreakdown →
439

About Runzi Liu

Runzi Liu is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Control and Systems Engineering, having authored 4 papers that have together received 465 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (2 papers), Machine Fault Diagnosis Techniques (2 papers) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (152 citations), Control and Systems Engineering (369 citations) and Medical Laboratory Technology (23 citations). Runzi Liu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Mark Lawley, Nagi Gebraeel, Jian Wu, Venkata R. Duvvuri, Dongri Shan, Cheng‐Chien Kuo and Hong‐Chan Chang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Applied Sciences and Measurement.

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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