Shanhu Yang

2.8k total citations · 3 hit papers
7 papers, 1.8k citations indexed

About

Shanhu Yang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Shanhu Yang has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 2 papers in Control and Systems Engineering and 1 paper in Management Information Systems. Recurrent topics in Shanhu Yang's work include Digital Transformation in Industry (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Fault Detection and Control Systems (2 papers). Shanhu Yang is often cited by papers focused on Digital Transformation in Industry (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Fault Detection and Control Systems (2 papers). Shanhu Yang collaborates with scholars based in United States. Shanhu Yang's co-authors include Jay Lee, Behrad Bagheri, Hossein Davari Ardakani, Hung-An Kao and Edzel Lapira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Manufacturing Science and Engineering and IFAC-PapersOnLine.

In The Last Decade

Shanhu Yang

7 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment

2014 1.2k citations Jay Lee, Shanhu Yang et al. Procedia CIRP profile →
Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation

2015 258 citations Jay Lee, Hossein Davari Ardakani et al. Procedia CIRP profile →
Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment

2015 220 citations Behrad Bagheri, Shanhu Yang et al. IFAC-PapersOnLine profile →

Peers

Shanhu Yang

IME

MIS

SM

CSE

CNC

Sang Do Noh South Korea

Ercan Öztemel Türkiye

Tobias Pentek Germany

Kosmas Alexopoulos Greece

Botond Kádár Hungary

Shan Ren China

Bernard Grabot France

Eduardo de Freitas Rocha Loures Brazil

F. Frank Chen United States

Sang Do Noh South Korea

Shanhu Yang

2.0k ×1.7

IME

326 ×0.8

MIS

418 ×1.7

SM

145 ×0.7

CSE

155 ×0.9

CNC

Citations per year, relative to Shanhu Yang Shanhu Yang (= 1×) peers Sang Do Noh

Countries citing papers authored by Shanhu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shanhu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanhu Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Yang, Shanhu. (2016). An Adaptive Prognostic Methodology and System Framework for Engineering Systems under Dynamic Working Regimes. OhioLink ETD Center (Ohio Library and Information Network). 3 indexed citations

2.

Bagheri, Behrad, Shanhu Yang, Hung-An Kao, & Jay Lee. (2015). Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment. IFAC-PapersOnLine. 48(3). 1622–1627. 220 indexed citations breakdown →

3.

Lee, Jay, Hossein Davari Ardakani, Shanhu Yang, & Behrad Bagheri. (2015). Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation. Procedia CIRP. 38. 3–7. 258 indexed citations breakdown →

4.

Yang, Shanhu, Behrad Bagheri, Hung-An Kao, & Jay Lee. (2015). A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems. Journal of Manufacturing Science and Engineering. 137(4). 31 indexed citations

5.

Lee, Jay, et al.. (2014). Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment. Procedia CIRP. 16. 3–8. 1209 indexed citations breakdown →

6.

Lee, Jay, et al.. (2013). Methodology and Framework of a Cloud-Based Prognostics and Health Management System for Manufacturing Industry. SHILAP Revista de lepidopterología. 33. 205–210. 11 indexed citations

7.

Lee, Jay, et al.. (2013). Predictive Manufacturing System - Trends of Next-Generation Production Systems. IFAC Proceedings Volumes. 46(7). 150–156. 99 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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