Ching‐Kang Ing

446 citations
26 papers · 268 · h-index 9

Impact in

Papers in

    • Statistical Methods and Inference 17
    • Advanced Statistical Methods and Models 4
    • Statistical Methods and Bayesian Inference 4
    • Statistical Distribution Estimation and Applications 3
    • Financial Risk and Volatility Modeling 9

Ching‐Kang Ing

25 papers receiving 247 citations

Peers

Ching‐Kang Ing
Comparison fields: 5 of 59
  • Statistics and Probability 136
  • General Economics, Econometrics and Finance 52
  • Finance 60
  • Management Science and Operations Research 67
  • Statistics, Probability and Uncertainty 25
Replace Haeran Cho with:
Haeran Cho United Kingdom
E. J. Godolphin United Kingdom
Gabriel A. Rodriguez‐Yam United States
Alessio Sancetta United Kingdom
Marian Hristache France
Lu Lin China
Shuyuan He China
Benoîte de Saporta France
David T. Frazier Australia
Hongzhi An China
Ching‐Kang Ing relative to Haeran Cho United Kingdom Haeran Cho's profile →
Citations per field
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Citations per year

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-authors

The 19 scholars most cited alongside Ching‐Kang Ing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ching‐Kang Ing Line = papers co-authored together Ching‐Kang Ing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201175
2 200745
3 200425
4 201121
5 201115
6 201612
7 201610
8 20159
9 20148
10 20097
11 20227
12 20135
13 20224
14 20213
15
A maximal moment inequality for long range dependent time series with applications to estimation and model selection
20053
16 20183
17
MOMENT BOUNDS AND MEAN SQUARED PREDICTION ERRORS OF LONG-MEMORY TIME SERIES1
20163
18 20032
19 20122
20 20172

About Ching‐Kang Ing

Ching‐Kang Ing is a scholar working on Statistics and Probability, Finance, Artificial Intelligence, Control and Systems Engineering and General Economics, Econometrics and Finance, having authored 26 papers that have together received 268 indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Financial Risk and Volatility Modeling (9 papers), Monetary Policy and Economic Impact (5 papers), Advanced Statistical Methods and Models (4 papers), Control Systems and Identification (4 papers), Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (136 citations), General Economics, Econometrics and Finance (52 citations), Finance (60 citations), Management Science and Operations Research (67 citations) and Statistics, Probability and Uncertainty (25 citations). Ching‐Kang Ing has collaborated with scholars based in Taiwan, Hong Kong and United States. Frequent co-authors include Tze Leung Lai, Ngai Hang Chan, Chor-yiu Sin, Hsin‐Cheng Huang, Yuanbo Li, Chun Yip Yau, Ching-Zong Wei, Kun Chen, Rongmao Zhang and Ji Liu. Their work appears in journals such as The Annals of Statistics, Statistica Sinica, Journal of the American Statistical Association, Journal of Time Series Analysis and Bernoulli.

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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