Zhenan Pang

563 total citations
17 papers, 452 citations indexed

About

Zhenan Pang is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Zhenan Pang has authored 17 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Safety, Risk, Reliability and Quality, 8 papers in Control and Systems Engineering and 7 papers in Statistics and Probability. Recurrent topics in Zhenan Pang's work include Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (7 papers) and Machine Fault Diagnosis Techniques (6 papers). Zhenan Pang is often cited by papers focused on Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (7 papers) and Machine Fault Diagnosis Techniques (6 papers). Zhenan Pang collaborates with scholars based in China. Zhenan Pang's co-authors include Hong Pei, Xiaosheng Si, Changhua Hu, Dangbo Du, Tianmei Li, Xiaosheng Si, Jianfei Zheng, Changhua Hu, Jianxun Zhang and Xi Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Neurocomputing.

In The Last Decade

Zhenan Pang

17 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenan Pang China 11 277 240 132 76 76 17 452
Dangbo Du China 10 243 0.9× 276 1.1× 106 0.8× 62 0.8× 65 0.9× 25 455
Liudong Gu China 10 180 0.6× 170 0.7× 95 0.7× 71 0.9× 48 0.6× 18 393
Khanh Le Son France 3 174 0.6× 229 1.0× 59 0.4× 43 0.6× 57 0.8× 4 338
Miaoxin Chang China 8 176 0.6× 112 0.5× 153 1.2× 17 0.2× 68 0.9× 16 331
Tongmin Jiang China 10 74 0.3× 250 1.0× 96 0.7× 41 0.5× 87 1.1× 66 440
Ruihua Jiao China 7 244 0.9× 109 0.5× 99 0.8× 108 1.4× 50 0.7× 14 381
Kamal Medjaher France 4 276 1.0× 136 0.6× 122 0.9× 32 0.4× 70 0.9× 8 385
Chengrui Liu China 10 77 0.3× 216 0.9× 44 0.3× 39 0.5× 58 0.8× 49 361
Hélio Fiori de Castro Brazil 12 270 1.0× 106 0.4× 333 2.5× 27 0.4× 59 0.8× 33 558
Patrick Nectoux France 3 316 1.1× 108 0.5× 190 1.4× 18 0.2× 95 1.3× 3 386

Countries citing papers authored by Zhenan Pang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenan Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenan Pang

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

All Works

17 of 17 papers shown
1.
Pei, Hong, Xiaosheng Si, Changhua Hu, et al.. (2022). Bayesian Deep-Learning-Based Prognostic Model for Equipment Without Label Data Related to Lifetime. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 504–517. 30 indexed citations
2.
Pang, Zhenan, et al.. (2022). A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system. Reliability Engineering & System Safety. 230. 108854–108854. 32 indexed citations
3.
Pei, Hong, Xiaosheng Si, Changhua Hu, et al.. (2022). Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method. Science China Information Sciences. 65(6). 9 indexed citations
4.
Pang, Zhenan, Hong Pei, Tianmei Li, et al.. (2021). An Adaptive Prognostic Approach for Partially Observable Degrading Products With Random Shocks. IEEE Sensors Journal. 21(16). 17926–17946. 13 indexed citations
5.
Pang, Zhenan, Xiaosheng Si, Changhua Hu, & Zhengxin Zhang. (2021). An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System. IEEE/CAA Journal of Automatica Sinica. 9(5). 907–921. 12 indexed citations
6.
Du, Dangbo, Hong Pei, Jianxun Zhang, et al.. (2020). A New Condition-Based Maintenance Decision Model for Degraded Equipment Subjected to Random Shocks. 2142–2147. 1 indexed citations
7.
Pei, Hong, Xiaosheng Si, Changhua Hu, et al.. (2020). An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data. Neurocomputing. 421. 303–315. 34 indexed citations
8.
Pang, Zhenan, Xiaosheng Si, Changhua Hu, Dangbo Du, & Hong Pei. (2020). A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data. Reliability Engineering & System Safety. 208. 107341–107341. 53 indexed citations
9.
Pei, Hong, Changhua Hu, Xiaosheng Si, et al.. (2019). Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales. IEEE Access. 7. 165166–165180. 14 indexed citations
10.
Li, Tianmei, Hong Pei, Zhenan Pang, Xiaosheng Si, & Jianfei Zheng. (2019). A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction. IEEE Access. 8. 5471–5480. 38 indexed citations
11.
Wang, Xi, et al.. (2019). An Adaptive Remaining Useful Life Estimation Approach for Newly Developed System Based on Nonlinear Degradation Model. IEEE Access. 7. 82162–82173. 26 indexed citations
12.
Hu, Changhua, et al.. (2019). A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing. IEEE Transactions on Industrial Electronics. 67(10). 8767–8777. 159 indexed citations
13.
Pang, Zhenan, Changhua Hu, Xiaosheng Si, et al.. (2019). Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability. IEEE Access. 7. 124558–124575. 9 indexed citations
14.
Zhang, Jianxun, Xiaosheng Si, Changhua Hu, Dangbo Du, & Zhenan Pang. (2018). Lifetime Prognostics for Multi-Phase Degradation with Random Jump at the Change Point. 383–388. 1 indexed citations
15.
Pei, Hong, Xiaosheng Si, Changhua Hu, et al.. (2018). A multi-stage Wiener process-based prognostic model for equipment considering the influence of imperfect maintenance activities. Journal of Intelligent & Fuzzy Systems. 34(6). 3695–3705. 17 indexed citations
16.
Pang, Zhenan, Changhua Hu, Xiaosheng Si, Jianxun Zhang, & Hong Pei. (2018). Life Prediction Approach by Integrating Nonlinear Accelerated Degradation Model and Hazard Rate Model. 40. 392–398. 3 indexed citations
17.

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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