Qin Shao

448 total citations
33 papers, 298 citations indexed

About

Qin Shao is a scholar working on Finance, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Qin Shao has authored 33 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Finance, 13 papers in Statistics and Probability and 7 papers in Economics and Econometrics. Recurrent topics in Qin Shao's work include Financial Risk and Volatility Modeling (12 papers), Statistical Methods and Inference (11 papers) and Advanced Statistical Methods and Models (7 papers). Qin Shao is often cited by papers focused on Financial Risk and Volatility Modeling (12 papers), Statistical Methods and Inference (11 papers) and Advanced Statistical Methods and Models (7 papers). Qin Shao collaborates with scholars based in United States, China and India. Qin Shao's co-authors include Gene Hsin Chang, Lijian Yang, Robert Lund, I. V. Basawa, Khew‐Voon Chin, Mark M. Meerschaert, Qinbao Song, Gang Liu, Gerard Thompson and L. Y. Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of the Optical Society of America B.

In The Last Decade

Qin Shao

29 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qin Shao United States	10	130	101	77	72	34	33	298
Alessio Sancetta United Kingdom	10	224 1.7×	124 1.2×	73 0.9×	119 1.7×	24 0.7×	31	373
Isao Shoji Japan	9	183 1.4×	47 0.5×	36 0.5×	69 1.0×	49 1.4×	30	364
Hans Arnfinn Karlsen Norway	10	148 1.1×	132 1.3×	60 0.8×	74 1.0×	62 1.8×	16	421
Zhibiao Zhao United States	9	146 1.1×	237 2.3×	72 0.9×	82 1.1×	27 0.8×	25	392
Victoria Zinde‐Walsh Canada	12	150 1.2×	218 2.2×	105 1.4×	154 2.1×	18 0.5×	37	421
Miguel de Carvalho United Kingdom	11	86 0.7×	122 1.2×	32 0.4×	68 0.9×	41 1.2×	43	349
Alessandra Luati Italy	8	109 0.8×	36 0.4×	57 0.7×	112 1.6×	24 0.7×	36	234
Pavel Krupskii Canada	9	179 1.4×	133 1.3×	48 0.6×	120 1.7×	53 1.6×	17	328
Gaël Riboulet France	5	195 1.5×	37 0.4×	43 0.6×	127 1.8×	36 1.1×	8	337
Oliver Linton United Kingdom	4	130 1.0×	258 2.6×	74 1.0×	113 1.6×	12 0.4×	4	391

Countries citing papers authored by Qin Shao

Since Specialization

Citations

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

Fields of papers citing papers by Qin Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Shao

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

All Works

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20 of 20 papers shown

Chandra, Sharad, et al.. (2025). COVID-19 Pandemic Impacts on STRESS, PTSD, and Prefrontal Cortical Thickness in Pre-Pandemic Trauma Survivors. Journal of Personalized Medicine. 15(4). 127–127.

Shao, Qin. (2025). Interval Forecasting in Time Series Analysis: Application to COVID-19 and Beyond. Journal of Data Science. 659–675.

Shao, Qin, et al.. (2024). A longitudinal mixed effects model for assessing mortality trends during vaccine rollout. SHILAP Revista de lepidopterología. 6. 100347–100347. 1 indexed citations

Shao, Qin. (2023). Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts. Statistics in Biosciences. 15(2). 372–383. 2 indexed citations

Shao, Qin, et al.. (2023). Utilizing Rydberg superatoms to fuse the W state and the GHZ state. Journal of the Optical Society of America B. 41(1). 143–143. 4 indexed citations

Shao, Qin, et al.. (2023). A multiplicative Holt–Winters model and autoregressive moving-average for hyponatremia mortality rates. SHILAP Revista de lepidopterología. 4. 100262–100262. 3 indexed citations

Shao, Qin, et al.. (2021). Model selection for time series with nonlinear trend. Communication in Statistics- Theory and Methods. 51(20). 7208–7224. 1 indexed citations

Shao, Qin & Hanh Nguyen. (2021). Risk Identification and Prediction for COVID-19 Mortality. 9(1). 1 indexed citations

Shao, Qin, Gerard Thompson, & Amy Thompson. (2020). COVID-19 Risk Factor Identification based on Ohio Data. SHILAP Revista de lepidopterología. 2 indexed citations

10.

Shao, Qin, et al.. (2020). Two‐Step Estimation for Time Varying Arch Models. Journal of Time Series Analysis. 41(4). 551–570. 2 indexed citations

11.

Lund, Robert, Gang Liu, & Qin Shao. (2016). A New Approach to ANOVA Methods for Autocorrelated Data. The American Statistician. 70(1). 55–62. 1 indexed citations

12.

Shao, Qin & Lijian Yang. (2016). Oracally Efficient Estimation and Consistent Model Selection for Auto-Regressive Moving Average Time Series with Trend. Journal of the Royal Statistical Society Series B (Statistical Methodology). 79(2). 507–524. 19 indexed citations

13.

Song, Qinbao, et al.. (2013). A Simultaneous Confidence Band for Dense Longitudinal Regression. Communication in Statistics- Theory and Methods. 43(24). 5195–5210. 16 indexed citations

14.

Shao, Qin, et al.. (2012). Efficient inference for autoregressive coefficients in the presence of trends. Journal of Multivariate Analysis. 114. 40–53. 9 indexed citations

15.

Shao, Qin & Lijian Yang. (2012). Polynomial spline confidence bands for time series trend. Journal of Statistical Planning and Inference. 142(7). 1678–1689. 5 indexed citations

16.

Shao, Qin. (2009). Nonparametric Trend Estimation for Periodic Autoregressive Time Series. Communication in Statistics- Theory and Methods. 38(14). 2418–2427. 1 indexed citations

17.

Lund, Robert, Qin Shao, & I. V. Basawa. (2006). PARSIMONIOUS PERIODIC TIME SERIES MODELING. Australian & New Zealand Journal of Statistics. 48(1). 33–47. 37 indexed citations

18.

Shao, Qin. (2005). Mixture periodic autoregressive time series models. Statistics & Probability Letters. 76(6). 609–618. 18 indexed citations

19.

Chang, Gene Hsin & Qin Shao. (2004). How Much is the Chinese Currency Undervalued? A Quantitative Estimation. SSRN Electronic Journal. 4 indexed citations

20.

Basawa, I. V., Robert Lund, & Qin Shao. (2004). First-order seasonal autoregressive processes with periodically varying parameters. Statistics & Probability Letters. 67(4). 299–306. 18 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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