Guan Jun Wang

706 total citations
28 papers, 559 citations indexed

About

Guan Jun Wang is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Software. According to data from OpenAlex, Guan Jun Wang has authored 28 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Safety, Risk, Reliability and Quality, 21 papers in Statistics and Probability and 20 papers in Software. Recurrent topics in Guan Jun Wang's work include Reliability and Maintenance Optimization (23 papers), Statistical Distribution Estimation and Applications (21 papers) and Software Reliability and Analysis Research (20 papers). Guan Jun Wang is often cited by papers focused on Reliability and Maintenance Optimization (23 papers), Statistical Distribution Estimation and Applications (21 papers) and Software Reliability and Analysis Research (20 papers). Guan Jun Wang collaborates with scholars based in China, United States and Hong Kong. Guan Jun Wang's co-authors include Yuan Lin Zhang, Richard C.M. Yam, Rui Peng, Jacques Beaumont, Qiang Li and Bo Qian and has published in prestigious journals such as European Journal of Operational Research, Reliability Engineering & System Safety and Computers & Industrial Engineering.

In The Last Decade

Guan Jun Wang

27 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guan Jun Wang China 14 518 344 282 163 50 28 559
Delia Montoro‐Cazorla Spain 14 436 0.8× 267 0.8× 168 0.6× 128 0.8× 85 1.7× 30 488
William Murdock United States 6 304 0.6× 73 0.2× 189 0.7× 70 0.4× 28 0.6× 10 344
Chang Hoon Lie South Korea 5 242 0.5× 107 0.3× 120 0.4× 116 0.7× 17 0.3× 9 315
Wagner de Souza Borges Brazil 8 366 0.7× 373 1.1× 193 0.7× 166 1.0× 9 0.2× 18 528
Hidenori Morimura Japan 5 412 0.8× 266 0.8× 231 0.8× 93 0.6× 23 0.5× 10 447
P.P. Gupta India 9 237 0.5× 82 0.2× 91 0.3× 95 0.6× 20 0.4× 62 281
Laurent Bordes France 9 141 0.3× 230 0.7× 47 0.2× 82 0.5× 18 0.4× 31 341
Joseph C. Hudson United States 6 250 0.5× 45 0.1× 123 0.4× 143 0.9× 7 0.1× 7 335
F. Rivas-Dávalos Mexico 11 127 0.2× 27 0.1× 23 0.1× 43 0.3× 4 0.1× 22 322
Shreekant Varshney India 10 52 0.1× 15 0.0× 24 0.1× 14 0.1× 64 1.3× 24 227

Countries citing papers authored by Guan Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guan Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan Jun Wang. 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 Guan Jun Wang. The network helps show where Guan Jun Wang may publish in the future.

Co-authorship network of co-authors of Guan Jun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guan Jun Wang. A scholar is included among the top collaborators of Guan Jun Wang 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 Guan Jun Wang. Guan Jun Wang 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.
Wang, Guan Jun. (2024). Impact of lease versus buy decisions on government tax revenues: An in‐depth analysis. Journal of Corporate Accounting & Finance. 35(3). 230–240.
2.
Wang, Guan Jun, et al.. (2020). Remaining Useful Life Estimation Based on Wiener Degradation Process With Mixed Random Effects. 35. 1–6. 1 indexed citations
3.
Zhang, Yuan Lin & Guan Jun Wang. (2018). A geometric process warranty model using a combination policy. Communication in Statistics- Theory and Methods. 48(6). 1493–1505. 7 indexed citations
4.
Wang, Guan Jun & Richard C.M. Yam. (2017). Generalized geometric process and its application in maintenance problems. Applied Mathematical Modelling. 49. 554–567. 22 indexed citations
5.
Wang, Guan Jun & Rui Peng. (2016). A generalised δ-shock model with two types of shocks. International Journal of Systems Science Operations & Logistics. 4(4). 372–383. 16 indexed citations
6.
Zhang, Yuan Lin & Guan Jun Wang. (2016). An optimal age-replacement policy for a simple repairable system with delayed repair. Communication in Statistics- Theory and Methods. 46(6). 2837–2850. 12 indexed citations
7.
Zhang, Yuan Lin & Guan Jun Wang. (2016). A geometric process repair model for a cold standby repairable system with imperfect delay repair and priority in use. Communication in Statistics- Theory and Methods. 46(16). 8046–8058. 4 indexed citations
8.
Zhang, Yuan Lin & Guan Jun Wang. (2015). An extended geometric process repair model for a cold standby repairable system with imperfect delayed repair. International Journal of Systems Science Operations & Logistics. 3(3). 163–175. 16 indexed citations
9.
Wang, Guan Jun & Yuan Lin Zhang. (2014). Geometric process model for a system with inspections and preventive repair. Computers & Industrial Engineering. 75. 13–19. 28 indexed citations
10.
Wang, Guan Jun & Yuan Lin Zhang. (2014). Optimal replacement policy for a two-dissimilar-component cold standby system with different repair actions. International Journal of Systems Science. 47(5). 1021–1031. 11 indexed citations
11.
Wang, Guan Jun & Yuan Lin Zhang. (2012). Optimal repair–replacement policies for a system with two types of failures. European Journal of Operational Research. 226(3). 500–506. 35 indexed citations
12.
Wang, Guan Jun & Yuan Lin Zhang. (2011). A bivariate optimal replacement policy for a cold standby repairable system with preventive repair. Applied Mathematics and Computation. 218(7). 3158–3165. 12 indexed citations
13.
Zhang, Yuan Lin & Guan Jun Wang. (2010). An optimal replacement policy for a multistate degenerative simple system. Applied Mathematical Modelling. 34(12). 4138–4150. 13 indexed citations
14.
Wang, Guan Jun & Yuan Lin Zhang. (2009). A geometric process repair model for a two-component system with shock damage interaction. International Journal of Systems Science. 40(11). 1207–1215. 19 indexed citations
15.
Wang, Guan Jun. (2008). Option implied volatility : volatility estimation, smile phenomenon, and forecasting. VDM Verlag Dr. Müller eBooks. 1 indexed citations
16.
Wang, Guan Jun & Yuan Lin Zhang. (2008). A bivariate mixed policy for a simple repairable system based on preventive repair and failure repair. Applied Mathematical Modelling. 33(8). 3354–3359. 22 indexed citations
17.
Wang, Guan Jun & Yuan Lin Zhang. (2007). An optimal replacement policy for a two-component series system assuming geometric process repair. Computers & Mathematics with Applications. 54(2). 192–202. 25 indexed citations
18.
Wang, Guan Jun & Yuan Lin Zhang. (2007). An optimal replacement policy for repairable cold standby system with priority in use. International Journal of Systems Science. 38(12). 1021–1027. 8 indexed citations
19.
Zhang, Yuan Lin & Guan Jun Wang. (2006). A geometric process repair model for a series repairable system with k dissimilar components. Applied Mathematical Modelling. 31(9). 1997–2007. 27 indexed citations
20.
Zhang, Yuan Lin & Guan Jun Wang. (2006). A deteriorating cold standby repairable system with priority in use. European Journal of Operational Research. 183(1). 278–295. 73 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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