Gaofeng Da

426 total citations
24 papers, 285 citations indexed

About

Gaofeng Da is a scholar working on Statistics and Probability, Management Science and Operations Research and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Gaofeng Da has authored 24 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Gaofeng Da's work include Statistical Distribution Estimation and Applications (11 papers), Probability and Risk Models (7 papers) and Reliability and Maintenance Optimization (5 papers). Gaofeng Da is often cited by papers focused on Statistical Distribution Estimation and Applications (11 papers), Probability and Risk Models (7 papers) and Reliability and Maintenance Optimization (5 papers). Gaofeng Da collaborates with scholars based in China, United States and Hong Kong. Gaofeng Da's co-authors include Maochao Xu, Xiaohu Li, Taizhong Hu, Weiyong Ding, Peng Zhao, Shouhuai Xu, Ping Shing Chan, Muzhar Javed, Muhammad Waheed Akhtar and Peng Zhao and has published in prestigious journals such as European Journal of Operational Research, Reliability Engineering & System Safety and IEEE Transactions on Reliability.

In The Last Decade

Gaofeng Da

24 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaofeng Da China 11 157 107 106 53 39 24 285
Jean‐Louis Bon France 8 172 1.1× 153 1.4× 192 1.8× 75 1.4× 32 0.8× 20 385
Danny Dyer United States 11 231 1.5× 49 0.5× 108 1.0× 49 0.9× 41 1.1× 36 369
Anthony A. Salvia United States 9 140 0.9× 178 1.7× 91 0.9× 29 0.5× 10 0.3× 22 321
Victor F. Nicola Netherlands 13 59 0.4× 55 0.5× 12 0.1× 190 3.6× 157 4.0× 29 398
Cheng–Der Fuh Taiwan 13 135 0.9× 20 0.2× 106 1.0× 99 1.9× 27 0.7× 57 426
William G. Bulgren United States 11 260 1.7× 29 0.3× 111 1.0× 68 1.3× 20 0.5× 32 390
Zaharias M. Psillakis Greece 11 174 1.1× 99 0.9× 65 0.6× 73 1.4× 10 0.3× 34 322
Kurt Weichselberger Germany 6 175 1.1× 18 0.2× 122 1.2× 145 2.7× 11 0.3× 12 378
R.K. Tuteja India 8 373 2.4× 46 0.4× 24 0.2× 35 0.7× 6 0.2× 24 465
Jiří Vomlel Czechia 10 19 0.1× 23 0.2× 27 0.3× 53 1.0× 27 0.7× 30 335

Countries citing papers authored by Gaofeng Da

Since Specialization
Citations

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

Fields of papers citing papers by Gaofeng Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaofeng Da

This figure shows the co-authorship network connecting the top 25 collaborators of Gaofeng Da. A scholar is included among the top collaborators of Gaofeng Da 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 Gaofeng Da. Gaofeng Da 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.
Da, Gaofeng, et al.. (2024). Estimating the all-terminal signatures for networks by using deep neural network. Reliability Engineering & System Safety. 253. 110496–110496. 4 indexed citations
2.
Da, Gaofeng, et al.. (2024). Employees’ foe or friend: artificial intelligence and employee outcomes. Service Industries Journal. 45(11-12). 1100–1131. 14 indexed citations
3.
Da, Gaofeng, Maochao Xu, & Peng Zhao. (2021). Multivariate dependence among cyber risks based on L-hop propagation. Insurance Mathematics and Economics. 101. 525–546. 10 indexed citations
4.
Da, Gaofeng, Weiyong Ding, & Xiaohu Li. (2020). On comparisons of population and subpopulations in frailty models. Communication in Statistics- Theory and Methods. 49(15). 3698–3711. 2 indexed citations
5.
Da, Gaofeng, Maochao Xu, & Peng Zhao. (2019). Modeling Network Systems Under Simultaneous Cyber-Attacks. IEEE Transactions on Reliability. 68(3). 971–984. 7 indexed citations
6.
Da, Gaofeng, Ping Shing Chan, & Maochao Xu. (2017). On the signature of complex system: A decomposed approach. European Journal of Operational Research. 265(3). 1115–1123. 15 indexed citations
7.
Da, Gaofeng, Maochao Xu, & Shouhuai Xu. (2016). ON THE QUASI-STATIONARY DISTRIBUTION OF SIS MODELS. Probability in the Engineering and Informational Sciences. 30(4). 622–639. 1 indexed citations
8.
Da, Gaofeng, Maochao Xu, & N. Balakrishnan. (2014). On the Lorenz ordering of order statistics from exponential populations and some applications. Journal of Multivariate Analysis. 127. 88–97. 7 indexed citations
9.
Xu, Maochao, Gaofeng Da, & Shouhuai Xu. (2014). Cyber Epidemic Models with Dependences. Internet Mathematics. 11(1). 62–92. 36 indexed citations
10.
Ding, Weiyong, Gaofeng Da, & Xiaohu Li. (2013). COMPARISONS OF SERIES AND PARALLEL SYSTEMS WITH HETEROGENEOUS COMPONENTS. Probability in the Engineering and Informational Sciences. 28(1). 39–53. 1 indexed citations
11.
Ding, Weiyong, Gaofeng Da, & Peng Zhao. (2012). On sample ranges from two sets of heterogenous random variables. Journal of Multivariate Analysis. 116. 63–73. 5 indexed citations
12.
Da, Gaofeng, et al.. (2012). On Computing Signatures of k-out-of-n Systems Consisting of Modules. Methodology And Computing In Applied Probability. 16(1). 223–233. 19 indexed citations
13.
Da, Gaofeng, et al.. (2012). Further results for parallel systems with two heterogeneous exponential components. Statistics. 47(5). 1128–1140. 18 indexed citations
14.
Da, Gaofeng, et al.. (2011). On computing signatures of coherent systems. Journal of Multivariate Analysis. 103(1). 142–150. 40 indexed citations
15.
Zhao, Peng, Xiaohu Li, & Gaofeng Da. (2011). Right Spread Order of the Second-Order Statistic from Heterogeneous Exponential Random Variables. Communication in Statistics- Theory and Methods. 40(17). 3070–3081. 6 indexed citations
16.
Li, Xiaohu, Gaofeng Da, & Peng Zhao. (2011). Competing Between Two Groups of Individuals Following Frailty Models. Methodology And Computing In Applied Probability. 14(4). 1033–1051. 5 indexed citations
17.
Da, Gaofeng, Weiyong Ding, & Xiaohu Li. (2010). On hazard rate ordering of parallel systems with two independent components. Journal of Statistical Planning and Inference. 140(7). 2148–2154. 19 indexed citations
18.
Li, Xiaohu, Gaofeng Da, & Peng Zhao. (2010). On reversed hazard rate in general mixture models. Statistics & Probability Letters. 80(7-8). 654–661. 17 indexed citations
19.
Li, Xiaohu & Gaofeng Da. (2009). Stochastic comparisons in multivariate mixed model of proportional reversed hazard rate with applications. Journal of Multivariate Analysis. 101(4). 1016–1025. 17 indexed citations
20.
Da, Gaofeng. (2008). The Erlang(2) Risk Model with a Two-step Premium Rate. Mathematica Applicata. 1 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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