Fengjun Duan

490 total citations
18 papers, 374 citations indexed

About

Fengjun Duan is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Fengjun Duan has authored 18 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Safety, Risk, Reliability and Quality, 11 papers in Statistics, Probability and Uncertainty and 11 papers in Statistics and Probability. Recurrent topics in Fengjun Duan's work include Reliability and Maintenance Optimization (18 papers), Statistical Distribution Estimation and Applications (11 papers) and Probabilistic and Robust Engineering Design (8 papers). Fengjun Duan is often cited by papers focused on Reliability and Maintenance Optimization (18 papers), Statistical Distribution Estimation and Applications (11 papers) and Probabilistic and Robust Engineering Design (8 papers). Fengjun Duan collaborates with scholars based in China. Fengjun Duan's co-authors include Guanjun Wang, Guanjun Wang, Huan Wang, Peng Su, Yifan Zhou, Fan Wu, Shuyi Zhang and Liudong Gu and has published in prestigious journals such as Reliability Engineering & System Safety, Computers & Industrial Engineering and IEEE Transactions on Reliability.

In The Last Decade

Fengjun Duan

16 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengjun Duan China 12 335 181 131 79 71 18 374
Fred Schenkelberg United States 4 337 1.0× 153 0.8× 195 1.5× 82 1.0× 60 0.8× 11 394
Guanqi Fang United States 7 226 0.7× 140 0.8× 137 1.0× 56 0.7× 42 0.6× 15 310
Yingsai Cao China 12 262 0.8× 151 0.8× 73 0.6× 109 1.4× 38 0.5× 25 314
Khanh Le Son France 3 229 0.7× 78 0.4× 69 0.5× 31 0.4× 43 0.6× 4 338
Jiantai Wang China 5 173 0.5× 89 0.5× 24 0.2× 83 1.1× 20 0.3× 11 212
Xiangrui Huang China 6 122 0.4× 261 1.4× 7 0.1× 71 0.9× 6 0.1× 16 317
Mounir Khiat Algeria 10 83 0.2× 19 0.1× 10 0.1× 24 0.3× 32 364
Mahmood Reza Haghifam Iran 10 95 0.3× 21 0.1× 4 0.0× 4 0.1× 6 0.1× 15 345
Ali Alizadeh Canada 9 55 0.2× 6 0.0× 8 0.1× 1 0.0× 26 0.4× 23 307
In‐Su Bae South Korea 8 199 0.6× 7 0.0× 2 0.0× 13 0.2× 34 437

Countries citing papers authored by Fengjun Duan

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjun Duan

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

All Works

18 of 18 papers shown
1.
Gu, Liudong, et al.. (2025). Reliability modeling for two-phase degradation products based on the inverse Gaussian process. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 240(1). 278–294.
2.
Duan, Fengjun, et al.. (2023). Remaining useful life evaluation for accelerated Wiener degradation process model with mixed random effects and measurement errors. Quality and Reliability Engineering International. 39(4). 1334–1351. 10 indexed citations
3.
Wang, Guanjun, et al.. (2021). Two shock models for single‐component systems subject to mutually dependent failure processes. Quality and Reliability Engineering International. 38(1). 635–658. 15 indexed citations
4.
Duan, Fengjun, et al.. (2021). Bayesian analysis for the transformed exponential dispersion process with random effects. Reliability Engineering & System Safety. 217. 108104–108104. 25 indexed citations
5.
Duan, Fengjun, et al.. (2021). Reliability analysis for systems subject to mutually dependent degradation and shock processes. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 235(6). 1009–1025. 14 indexed citations
6.
Duan, Fengjun & Guanjun Wang. (2021). Generalized exponential‐dispersion process model for degradation analysis under nonlinear condition. Quality and Reliability Engineering International. 38(2). 957–970. 3 indexed citations
7.
Su, Peng, Guanjun Wang, & Fengjun Duan. (2020). Reliability evaluation of a k-out-of-n(G)-subsystem based multi-state system with common bus performance sharing. Reliability Engineering & System Safety. 198. 106884–106884. 42 indexed citations
8.
Su, Peng, Guanjun Wang, & Fengjun Duan. (2020). Reliability analysis for k-out-of-(n+1): G star configuration multi-state systems with performance sharing. Computers & Industrial Engineering. 152. 106991–106991. 24 indexed citations
9.
Duan, Fengjun & Guanjun Wang. (2018). Planning of step-stress accelerated degradation test based on non-stationary gamma process with random effects. Computers & Industrial Engineering. 125. 467–479. 26 indexed citations
10.
Duan, Fengjun, et al.. (2018). Bivariate Constant-Stress Accelerated Degradation Model and Inference Based on the Inverse Gaussian Process. Journal of Shanghai Jiaotong University (Science). 23(6). 784–790. 2 indexed citations
11.
Duan, Fengjun, et al.. (2018). Exponential-Dispersion Degradation Process Models With Random Effects and Covariates. IEEE Transactions on Reliability. 67(3). 1128–1142. 30 indexed citations
12.
Duan, Fengjun & Guanjun Wang. (2018). Optimal design for constant-stress accelerated degradation test based on gamma process. Communication in Statistics- Theory and Methods. 48(9). 2229–2253. 27 indexed citations
13.
Wang, Guanjun, Fengjun Duan, & Yifan Zhou. (2018). Reliability evaluation of multi-state series systems with performance sharing. Reliability Engineering & System Safety. 173. 58–63. 62 indexed citations
14.
Duan, Fengjun & Guanjun Wang. (2017). Optimal step-stress accelerated degradation test plans for inverse Gaussian process based on proportional degradation rate model. Journal of Statistical Computation and Simulation. 88(2). 305–328. 14 indexed citations
15.
Duan, Fengjun & Guanjun Wang. (2017). Reliability Modeling of Two-Phase Gamma Degradation Process. 620–621.
16.
Duan, Fengjun, Guanjun Wang, & Huan Wang. (2017). Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective. Communications in Statistics - Simulation and Computation. 47(1). 166–186. 16 indexed citations
17.
Duan, Fengjun & Guanjun Wang. (2017). Reliability modeling of two-phase inverse Gaussian degradation process. 1–6. 3 indexed citations
18.
Wang, Huan, et al.. (2016). Planning of step-stress accelerated degradation test based on the inverse Gaussian process. Reliability Engineering & System Safety. 154. 97–105. 61 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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