Guoxian Xiao

2.4k total citations
83 papers, 1.9k citations indexed

About

Guoxian Xiao is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Mechanical Engineering. According to data from OpenAlex, Guoxian Xiao has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Industrial and Manufacturing Engineering, 23 papers in Management Information Systems and 17 papers in Mechanical Engineering. Recurrent topics in Guoxian Xiao's work include Scheduling and Optimization Algorithms (30 papers), Advanced Queuing Theory Analysis (19 papers) and Flexible and Reconfigurable Manufacturing Systems (17 papers). Guoxian Xiao is often cited by papers focused on Scheduling and Optimization Algorithms (30 papers), Advanced Queuing Theory Analysis (19 papers) and Flexible and Reconfigurable Manufacturing Systems (17 papers). Guoxian Xiao collaborates with scholars based in United States, China and Australia. Guoxian Xiao's co-authors include Qing Chang, Jorge Arinez, Stephan Biller, Liang Zhang, Jun Ni, S. Malkin, Zhiyang Jia, Yang Li, Michael P. Brundage and Jingshan Li and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Access.

In The Last Decade

Guoxian Xiao

82 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoxian Xiao United States 29 1.1k 461 288 284 258 83 1.9k
Guanghui Zhou China 30 1.6k 1.5× 678 1.5× 215 0.7× 150 0.5× 154 0.6× 106 2.8k
Jorge Arinez United States 28 1.4k 1.3× 313 0.7× 351 1.2× 384 1.4× 268 1.0× 114 2.4k
Moneer Helu United States 22 1.1k 1.0× 438 1.0× 281 1.0× 127 0.4× 145 0.6× 43 1.8k
Paul Xirouchakis Switzerland 34 1.9k 1.7× 1.0k 2.2× 313 1.1× 298 1.0× 118 0.5× 109 3.2k
Rolf Steinhilper Germany 15 1.0k 1.0× 245 0.5× 85 0.3× 139 0.5× 123 0.5× 80 1.7k
Tao Peng China 34 1.6k 1.5× 1.3k 2.8× 488 1.7× 131 0.5× 38 0.1× 128 3.2k
Günther Reinhart Germany 17 648 0.6× 380 0.8× 50 0.2× 103 0.4× 80 0.3× 119 1.3k
Shahrul Kamaruddin Malaysia 22 437 0.4× 664 1.4× 39 0.1× 198 0.7× 730 2.8× 128 2.3k

Countries citing papers authored by Guoxian Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Guoxian Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxian Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxian Xiao. A scholar is included among the top collaborators of Guoxian Xiao 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 Guoxian Xiao. Guoxian Xiao 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.
Li, Chen, et al.. (2022). Filling Missing Surface Roughness Data for Grinding Process Using Physics-Guided Neural Network. Manufacturing Letters. 33. 828–834. 2 indexed citations
2.
Huang, Jing, Qing Chang, Jorge Arinez, & Guoxian Xiao. (2019). A Maintenance and Energy Saving Joint Control Scheme for Sustainable Manufacturing Systems. Procedia CIRP. 80. 263–268. 22 indexed citations
3.
Brundage, Michael P., Thurston Sexton, Melinda Hodkiewicz, et al.. (2019). Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing. Journal of Manufacturing Science and Engineering. 141(9). 22 indexed citations
4.
Huang, Jing, Qing Chang, Jing Zou, Jorge Arinez, & Guoxian Xiao. (2018). Real-time Control of Maintenance on Deteriorating Manufacturing System. 4. 211–216. 2 indexed citations
5.
Zou, Jing, Qing Chang, Yong Lei, Jorge Arinez, & Guoxian Xiao. (2016). Modeling and Performance Identification for General Production System Using Sensor Data. 1 indexed citations
6.
Jia, Zhiyang, et al.. (2016). Performance evaluation in finite production run-based serial lines with geometric machines. 450–455. 5 indexed citations
7.
Jia, Zhiyang, Liang Zhang, Jorge Arinez, & Guoxian Xiao. (2015). Performance analysis of Bernoulli serial production lines with switch-on/off machine control. 477–482. 14 indexed citations
8.
Wang, Chuanfeng, et al.. (2015). Transient Performance Analysis of Serial Production Lines With Geometric Machines. IEEE Transactions on Automatic Control. 61(4). 877–891. 56 indexed citations
9.
Ju, Feng, Jingshan Li, Guoxian Xiao, Jorge Arinez, & Weiwen Deng. (2015). Modeling, analysis, and improvement of integrated productivity and quality system in battery manufacturing. IIE Transactions. 47(12). 1313–1328. 29 indexed citations
10.
Xiao, Guoxian, et al.. (2014). Numerical Simulation of the Gas-Solid Flow by DEM-CFD Approach with Application to a Spouted Bed. 164(2). 218–226. 1 indexed citations
11.
Li, Yang, Qing Chang, Michael P. Brundage, et al.. (2014). Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control. IEEE Transactions on Systems Man and Cybernetics Systems. 45(1). 109–121. 29 indexed citations
12.
Brundage, Michael P., Qing Chang, Yang Li, Jorge Arinez, & Guoxian Xiao. (2014). Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line. 461–466. 9 indexed citations
13.
Jia, Zhiyang, Liang Zhang, Jorge Arinez, & Guoxian Xiao. (2014). Analysis and improvement of batch-based production lines with Bernoulli machines. 5. 13–18. 1 indexed citations
14.
Brundage, Michael P., Qing Chang, Yang Li, Guoxian Xiao, & Jorge Arinez. (2013). Energy Efficiency Management of an Integrated Serial Production Line and HVAC System. IEEE Transactions on Automation Science and Engineering. 11(3). 789–797. 45 indexed citations
15.
Ju, Feng, Jingshan Li, Guoxian Xiao, Ningjian Huang, & Stephan Biller. (2013). A Quality Flow Model in Battery Manufacturing Systems for Electric Vehicles. IEEE Transactions on Automation Science and Engineering. 11(1). 230–244. 32 indexed citations
16.
Ju, Feng, Junwen Wang, Jingshan Li, Guoxian Xiao, & Stephan Biller. (2012). Virtual Battery: A Battery Simulation Framework for Electric Vehicles. IEEE Transactions on Automation Science and Engineering. 10(1). 5–15. 21 indexed citations
17.
Chang, Qing, Guoxian Xiao, Lin Li, & Stephan Biller. (2011). Energy Management in Manufacturing Systems. 119–125. 3 indexed citations
18.
Chang, Qing, Stephan Biller, & Guoxian Xiao. (2010). Transient Analysis of Downtimes and Bottleneck Dynamics in Serial Manufacturing Systems. Journal of Manufacturing Science and Engineering. 132(5). 67 indexed citations
19.
Xiao, Guoxian, et al.. (2002). Modeling of Residual Stress in Grinding of Nodular Cast Iron. Journal of Manufacturing Science and Engineering. 124(4). 833–839. 11 indexed citations
20.
Xiao, Guoxian, Stephen Malkin, & Kourosh Danai. (1993). Autonomous System for Multistage Cylindrical Grinding. Journal of Dynamic Systems Measurement and Control. 115(4). 667–672. 23 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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