Guanjun Wang

655 citations
20 papers · 512 · h-index 10

Impact in

Papers in

Guanjun Wang

18 papers receiving 506 citations

Peers

Guanjun Wang
Comparison fields: 5 of 64
  • Safety, Risk, Reliability and Quality 301
  • Software 124
  • Statistics, Probability and Uncertainty 157
  • Automotive Engineering 125
  • Statistics and Probability 68
Replace Baoliang Liu with:
Baoliang Liu China
Rui Jiang China
Mohammad Sima United States
K.S. Wang Taiwan
A. K. Sheikh Saudi Arabia
Navneet Arora India
J. P. Modak India
Lubing Wang China
Vladimir Popović Serbia
Vítor Anes Portugal
Guanjun Wang relative to Baoliang Liu China Baoliang Liu's profile →
Citations per field
00.5×1.5×1.8×
Baoliang Liu · 1×
Citations per year

Countries citing papers authored by Guanjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Guanjun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guanjun Wang Line = papers co-authored together Guanjun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2018149
2 201865
3 201847
4 202045
5 202143
6 202031
7 202031
8 201829
9 201828
10 201610
11 20229
12 20118
13 20224
14 20213
15 20203
16 20203
17 20223
18 20191
19 20170
20 20250

About Guanjun Wang

Guanjun Wang is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability, Statistics, Probability and Uncertainty, Software and Automotive Engineering, having authored 20 papers that have together received 512 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (9 papers), Software Reliability and Analysis Research (6 papers), Probabilistic and Robust Engineering Design (5 papers), Risk and Safety Analysis (4 papers), Power System Reliability and Maintenance (3 papers), Advanced Battery Technologies Research (2 papers) and Structural Integrity and Reliability Analysis (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (301 citations), Software (124 citations), Statistics, Probability and Uncertainty (157 citations), Automotive Engineering (125 citations) and Statistics and Probability (68 citations). Guanjun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fengjun Duan, Peng Su, Yifan Zhou, Zongjun Tian, Huixin Liang, Lida Shen, Deqiao Xie, Jianfeng Zhao, Changjiang Wang and Liudong Xing. Their work appears in journals such as Reliability Engineering & System Safety, Computers & Industrial Engineering, Applied Mathematical Modelling, Stochastic Models and Journal of Aircraft.

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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