Ching‐Kang Ing

436 total citations
26 papers, 260 citations indexed

About

Ching‐Kang Ing is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Ching‐Kang Ing has authored 26 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 9 papers in Finance and 7 papers in Artificial Intelligence. Recurrent topics in Ching‐Kang Ing's work include Statistical Methods and Inference (17 papers), Financial Risk and Volatility Modeling (9 papers) and Monetary Policy and Economic Impact (5 papers). Ching‐Kang Ing is often cited by papers focused on Statistical Methods and Inference (17 papers), Financial Risk and Volatility Modeling (9 papers) and Monetary Policy and Economic Impact (5 papers). Ching‐Kang Ing collaborates with scholars based in Taiwan, United States and Hong Kong. Ching‐Kang Ing's co-authors include Tze Leung Lai, Ngai Hang Chan, Hsin‐Cheng Huang, Chor-yiu Sin, Kun Chen, Yuanbo Li, Chun Yip Yau, Ching-Zong Wei, Su‐Yun Huang and Ji Liu and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Econometrics.

In The Last Decade

Ching‐Kang Ing

24 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ching‐Kang Ing Taiwan	9	135	67	60	52	40	26	260
Haeran Cho United Kingdom	10	196 1.5×	50 0.7×	63 1.1×	33 0.6×	101 2.5×	24	438
E. J. Godolphin United Kingdom	12	125 0.9×	82 1.2×	50 0.8×	37 0.7×	43 1.1×	33	319
Gabriel A. Rodriguez‐Yam Mexico	7	164 1.2×	28 0.4×	113 1.9×	50 1.0×	70 1.8×	12	379
Alessio Sancetta United Kingdom	10	124 0.9×	55 0.8×	224 3.7×	73 1.4×	50 1.3×	31	373
Zhensheng Huang China	11	269 2.0×	20 0.3×	23 0.4×	12 0.2×	57 1.4×	76	385
Marian Hristache France	6	325 2.4×	30 0.4×	50 0.8×	23 0.4×	102 2.5×	8	385
Henryk Zähle Germany	9	96 0.7×	184 2.7×	138 2.3×	12 0.2×	22 0.6×	27	343
Lu Lin China	13	412 3.1×	35 0.5×	18 0.3×	10 0.2×	89 2.2×	55	505
Shuyuan He China	11	234 1.7×	63 0.9×	43 0.7×	6 0.1×	56 1.4×	43	336
David T. Frazier Australia	10	108 0.8×	25 0.4×	42 0.7×	13 0.3×	87 2.2×	30	230

Countries citing papers authored by Ching‐Kang Ing

Since Specialization

Citations

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

Fields of papers citing papers by Ching‐Kang Ing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Kang Ing. 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 Ching‐Kang Ing. The network helps show where Ching‐Kang Ing may publish in the future.

Co-authorship network of co-authors of Ching‐Kang Ing

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Kang Ing. A scholar is included among the top collaborators of Ching‐Kang Ing 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 Ching‐Kang Ing. Ching‐Kang Ing 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

Ing, Ching‐Kang, et al.. (2025). Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications. Journal of Computational and Graphical Statistics. 34(4). 1386–1396.

Fan, Yingying, et al.. (2024). High-Dimensional Knockoffs Inference for Time Series Data. Journal of the American Statistical Association. 120(551). 1763–1774.

Ing, Ching‐Kang, et al.. (2022). Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates. Journal of the American Statistical Association. 119(546). 970–982. 2 indexed citations

Chan, Ngai Hang, et al.. (2022). Consistent order selection for ARFIMA processes. The Annals of Statistics. 50(3). 6 indexed citations

Ing, Ching‐Kang, et al.. (2021). Golden Path Search Algorithm for the KSA Scheme. IEEE Transactions on Automation Science and Engineering. 19(3). 1517–1529. 3 indexed citations

Ing, Ching‐Kang, et al.. (2018). Interval Estimation for a First‐Order Positive Autoregressive Process. Journal of Time Series Analysis. 39(3). 447–467. 2 indexed citations

Ing, Ching‐Kang, Ngai Hang Chan, & Rongmao Zhang. (2017). Nearly Unstable Processes: A Prediction Perspective. Statistica Sinica. 2 indexed citations

Chan, Ngai Hang, et al.. (2016). MOMENT BOUNDS AND MEAN SQUARED PREDICTION ERRORS OF LONG-MEMORY TIME SERIES1. 3 indexed citations

Ing, Ching‐Kang, et al.. (2016). Multiple Testing in Regression Models With Applications to Fault Diagnosis in the Big Data Era. Technometrics. 59(3). 351–360. 9 indexed citations

10.

Huang, Hsin‐Cheng, et al.. (2016). Mixed domain asymptotics for a stochastic process model with time trend and measurement error. Bernoulli. 23(1). 13 indexed citations

11.

Chan, Ngai Hang, Ching‐Kang Ing, Yuanbo Li, & Chun Yip Yau. (2015). Threshold Estimation via Group Orthogonal Greedy Algorithm. Journal of Business and Economic Statistics. 35(2). 334–345. 9 indexed citations

12.

Ing, Ching‐Kang, et al.. (2013). Predictor Selection for Positive Autoregressive Processes. Journal of the American Statistical Association. 109(505). 243–253. 5 indexed citations

13.

Gao, Fuchang, Ching‐Kang Ing, & Yuhong Yang. (2012). Metric entropy and sparse linear approximation of ℓq-hulls for 0<q≤1. Journal of Approximation Theory. 166. 42–55. 2 indexed citations

14.

Ing, Ching‐Kang, et al.. (2011). Model selection for integrated autoregressive processes of infinite order. Journal of Multivariate Analysis. 106. 57–71. 15 indexed citations

15.

Chan, Ngai Hang & Ching‐Kang Ing. (2011). Uniform moment bounds of Fisher’s information with applications to time series. The Annals of Statistics. 39(3). 21 indexed citations

16.

Ing, Ching‐Kang & Tze Leung Lai. (2011). A stepwise regression method and consistent model selection for high-dimensional sparse linear models. Statistica Sinica. 21(4). 71 indexed citations

17.

Ing, Ching‐Kang, et al.. (2009). PREDICTION ERRORS IN NONSTATIONARY AUTOREGRESSIONS OF INFINITE ORDER. Econometric Theory. 26(3). 774–803. 7 indexed citations

18.

Ing, Ching‐Kang. (2007). Accumulated prediction errors, information criteria and optimal forecasting for autoregressive time series. The Annals of Statistics. 35(3). 45 indexed citations

19.

Ing, Ching‐Kang & Ching-Zong Wei. (2005). A maximal moment inequality for long range dependent time series with applications to estimation and model selection. Statistica Sinica. 721–740. 3 indexed citations

20.

Ing, Ching‐Kang, et al.. (2003). On Estimating Conditional Mean‐Squared Prediction Error in Autoregressive Models. Journal of Time Series Analysis. 24(4). 401–422. 2 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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