Zifeng Zhao

499 total citations
30 papers, 258 citations indexed

About

Zifeng Zhao is a scholar working on Finance, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Zifeng Zhao has authored 30 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 8 papers in Statistics and Probability and 7 papers in Economics and Econometrics. Recurrent topics in Zifeng Zhao's work include Financial Risk and Volatility Modeling (8 papers), Statistical Methods and Inference (6 papers) and Monetary Policy and Economic Impact (4 papers). Zifeng Zhao is often cited by papers focused on Financial Risk and Volatility Modeling (8 papers), Statistical Methods and Inference (6 papers) and Monetary Policy and Economic Impact (4 papers). Zifeng Zhao collaborates with scholars based in United States, China and Hong Kong. Zifeng Zhao's co-authors include Chun Yip Yau, Xiaofeng Shao, Zhengjun Zhang, Peng Shi, Rong Chen, Kun Xie, Hong Yang, Di Yang, Wenjie Chen and Kaan Özbay and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Zifeng Zhao

28 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zifeng Zhao United States 9 79 74 69 38 29 30 258
Carlo Grillenzoni Italy 10 97 1.2× 26 0.4× 44 0.6× 51 1.3× 6 0.2× 49 300
Ahmed Nafidi Spain 13 136 1.7× 144 1.9× 79 1.1× 36 0.9× 38 1.3× 42 442
Gaël Riboulet France 5 127 1.6× 195 2.6× 37 0.5× 19 0.5× 3 0.1× 8 337
Georgi N. Boshnakov United Kingdom 9 86 1.1× 31 0.4× 45 0.7× 51 1.3× 2 0.1× 34 256
Utriweni Mukhaiyar Indonesia 9 138 1.7× 12 0.2× 26 0.4× 24 0.6× 67 2.3× 53 244
David T. Frazier Australia 10 42 0.5× 42 0.6× 108 1.6× 87 2.3× 3 0.1× 30 230
Alex Koning Netherlands 7 35 0.4× 26 0.4× 48 0.7× 29 0.8× 7 0.2× 23 273
Tomáš Cipra Czechia 9 42 0.5× 36 0.5× 71 1.0× 57 1.5× 2 0.1× 51 281
Abderrahim Taamouti United Kingdom 13 256 3.2× 298 4.0× 104 1.5× 52 1.4× 4 0.1× 44 492
Raffaele Mattera Italy 11 168 2.1× 90 1.2× 17 0.2× 38 1.0× 5 0.2× 50 302

Countries citing papers authored by Zifeng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Zifeng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zifeng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Zifeng Zhao. A scholar is included among the top collaborators of Zifeng Zhao 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 Zifeng Zhao. Zifeng Zhao 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.
He, Qun, et al.. (2025). Image-based fleet-level health assessment for wind farm with power temperature curve. Engineering Research Express. 7(1). 15386–15386. 1 indexed citations
2.
Xu, Kaikai, Xuesong Yang, Ding Ding, et al.. (2024). Novel physics-informed neural network approach for dynamic and static displacement reconstruction via strain and acceleration. Measurement. 231. 114588–114588. 5 indexed citations
3.
Zhao, Zifeng, Xuesong Yang, Ding Ding, et al.. (2024). Displacement Reconstruction Based on Physics-Informed DeepONet Regularizing Geometric Differential Equations of Beam or Plate. Applied Sciences. 14(6). 2615–2615. 2 indexed citations
4.
Zhao, Zifeng, et al.. (2023). High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection. SSRN Electronic Journal. 1 indexed citations
5.
Wang, Ruxian, Zifeng Zhao, & Chenxu Ke. (2022). Modeling Consumer Choice and Optimizing Assortment under the Threshold Multinomial Logit Model. SSRN Electronic Journal. 2 indexed citations
6.
Wang, Daren, et al.. (2021). Statistically and Computationally Efficient Change Point Localization in Regression Settings. Journal of Machine Learning Research. 22(248). 1–46. 8 indexed citations
7.
Zhao, Zifeng & Chun Yip Yau. (2021). Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation. Journal of Computational and Graphical Statistics. 30(3). 808–821. 3 indexed citations
8.
Zhao, Zifeng, Peng Shi, & Xiaoping Feng. (2020). Knowledge Learning of Insurance Risks Using Dependence Models. INFORMS journal on computing. 33(3). 1177–1196. 6 indexed citations
9.
Zhao, Zifeng, et al.. (2020). Time series analysis of COVID-19 infection curve: A change-point perspective. Journal of Econometrics. 232(1). 1–17. 40 indexed citations
10.
Zhao, Zifeng. (2020). Dynamic Bivariate Peak Over Threshold Model for Joint Tail Risk Dynamics of Financial Markets. Journal of Business and Economic Statistics. 39(4). 892–906. 15 indexed citations
11.
Shi, Peng & Zifeng Zhao. (2020). Regression for copula-linked compound distributions with applications in modeling aggregate insurance claims. The Annals of Applied Statistics. 14(1). 12 indexed citations
12.
Zhao, Zifeng, Peng Shi, & Zhengjun Zhang. (2020). Modeling Multivariate Time Series With Copula-Linked Univariate D-Vines. Journal of Business and Economic Statistics. 40(2). 690–704. 7 indexed citations
13.
Zhao, Zifeng, et al.. (2018). Design of Three-phase Vienna PFC Circuit With Integral Improved PI Controller. 1. 1–4. 5 indexed citations
14.
He, Shuang, Cong Li, Y. Liu, et al.. (2018). New Equivalent Circuit Model of UHVDC Converter Transformer Winding for the Calculation of Transient Potential Distribution. 2018 IEEE International Magnetics Conference (INTERMAG). pp. 1–1. 2 indexed citations
15.
Zhao, Zifeng, et al.. (2018). Analysis and Suppression of Common-mode EMI in Three-phase Vienna PFC Circuit. 1–4. 1 indexed citations
16.
Chen, Xiliang, et al.. (2017). Reduction of common-mode interference under different working modes of induction machine based on improved predictive torque control method. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 27. 7034–7039. 1 indexed citations
17.
Zhao, Zifeng & Zhengjun Zhang. (2017). Semiparametric Dynamic Max-Copula Model for Multivariate Time Series. Journal of the Royal Statistical Society Series B (Statistical Methodology). 80(2). 409–432. 9 indexed citations
18.
Chen, Wenjie, et al.. (2017). Conducted EMI analysis of double-side LCC compensated WPT system. 2017 Sixth Asia-Pacific Conference on Antennas and Propagation (APCAP). 1–3. 5 indexed citations
19.
20.
West, Kenneth D. & Zifeng Zhao. (2016). Regressor and disturbance have moments of all orders, least squares estimator has none. Statistics & Probability Letters. 115. 54–59.

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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