W. K. Li
Impact in
- Finance top 2%
- Financial Risk and Volatility Modeling
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
Papers in
-
- Advanced Statistical Methods and Models 6
- Statistical Methods and Inference 4
- Finance 7
- Financial Risk and Volatility Modeling 7
- Co-authors
- A. Ian McLeod (2 shared papers)Michael McAleer (1 shared paper)Shiqing Ling (1 shared paper)Yingcun Xia (1 shared paper)C. S. Wong (1 shared paper)Yi Hui (2 shared papers)Philip L. H. Yu (1 shared paper)Tom Fong (1 shared paper)
In The Last Decade
W. K. Li
16 papers receiving 653 citations
Peers
Comparison fields: 5 of 80
- Finance 420
- Statistics and Probability 230
- General Economics, Econometrics and Finance 170
- Economics and Econometrics 304
- Management Science and Operations Research 75
Countries citing papers authored by W. K. Li
This map shows the geographic impact of W. K. Li'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 W. K. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. K. Li more than expected).
Fields of papers citing papers by W. K. Li
This network shows the impact of papers produced by W. K. Li. 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 W. K. Li. The network helps show where W. K. Li may publish in the future.
Co-authors
The 11 scholars most cited alongside W. K. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 200 | |
| 2 | 2002 | 195 | |
| 3 | 1986 | 127 | |
| 4 | 1999 | 87 | |
| 5 | 1998 | 46 | |
| 6 | 1986 | 14 | |
| 7 | 1988 | 13 | |
| 8 | 1989 | 9 | |
| 9 | 1991 | 8 | |
| 10 | 2008 | 6 | |
| 11 | 1991 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2004 | 1 | |
| 15 | 1989 | 1 | |
| 16 | 1992 | 1 |
About W. K. Li
W. K. Li is a scholar working on Statistics and Probability, Finance, Control and Systems Engineering, Artificial Intelligence and General Economics, Econometrics and Finance, having authored 16 papers that have together received 712 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (7 papers), Advanced Statistical Methods and Models (6 papers), Fault Detection and Control Systems (4 papers), Statistical Methods and Inference (4 papers), Monetary Policy and Economic Impact (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Neural Networks and Applications (2 papers) and Statistical and numerical algorithms (2 papers). The work is most often cited by research in Finance (420 citations), Statistics and Probability (230 citations), General Economics, Econometrics and Finance (170 citations), Economics and Econometrics (304 citations) and Management Science and Operations Research (75 citations). W. K. Li has collaborated with scholars based in Hong Kong, Canada and Australia. Frequent co-authors include A. Ian McLeod, Michael McAleer, Shiqing Ling, Yingcun Xia, C. S. Wong, Yi Hui, Philip L. H. Yu, Tom Fong, Tian Miao and Haitao Guo. Their work appears in journals such as Biometrika, Journal of Time Series Analysis, Journal of Statistical Computation and Simulation, Computational Statistics & Data Analysis and Journal of the American Statistical Association.
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.