Ngai Hang Chan
- Biomedical Engineering top 2%
- Finance top 0.5%
- Economics and Econometrics top 1%
- Statistics and Probability top 0.5%
- General Economics, Econometrics and Finance top 1%
- Co-authors
- Ching-Zong WeiPing ShengZhiyu YangMin YangJun MeiNoel CressieHongqing DaiGuancong Ma
- Topics
- Financial Risk and Volatility Modeling (63 papers)Statistical Methods and Inference (34 papers)Monetary Policy and Economic Impact (25 papers)
- Journals
- Physical Review LettersJournal of the American Statistical AssociationApplied Physics Letters
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Ngai Hang Chan
111 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Biomedical Engineering 1.3k
- Finance 1.3k
- Economics and Econometrics 932
- Statistics and Probability 881
- General Economics, Econometrics and Finance 753
Countries citing papers authored by Ngai Hang Chan
This map shows the geographic impact of Ngai Hang Chan'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 Ngai Hang Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ngai Hang Chan more than expected).
Fields of papers citing papers by Ngai Hang Chan
This network shows the impact of papers produced by Ngai Hang Chan. 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 Ngai Hang Chan. The network helps show where Ngai Hang Chan may publish in the future.
Co-authorship network of co-authors of Ngai Hang Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Ngai Hang Chan. A scholar is included among the top collaborators of Ngai Hang Chan 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 Ngai Hang Chan. Ngai Hang Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | Membrane-Type Acoustic Metamaterial with Negative Dynamic Massbreakdown → | 920 |
| 12 | QUANTILE INFERENCE FOR NEAR-INTEGRATED AUTOREGRESSIVE TIME SERIES WITH INFINITE VARIANCE | 15 |
| 13 | 16 | |
| 14 | Time series : applications to finance | 28 |
| 15 | EMPIRICAL LIKELIHOOD FOR AUTOREGRESSIVE MODELS, WITH APPLICATIONS TO UNSTABLE TIME SERIES | 51 |
| 16 | 10 | |
| 17 | 15 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 67 |
About Ngai Hang Chan
Ngai Hang Chan is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance, having authored 116 papers that have together received 3.7k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (63 papers), Statistical Methods and Inference (34 papers) and Monetary Policy and Economic Impact (25 papers). The work is most often cited by research in Finance (1.3k citations), Statistics and Probability (881 citations) and General Economics, Econometrics and Finance (753 citations). Ngai Hang Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Ching-Zong Wei, Ping Sheng, Zhiyu Yang, Min Yang, Jun Mei, Noel Cressie, Hongqing Dai, Guancong Ma, Liang Peng and Lanh Tat Tran. Their work appears in journals such as Physical Review Letters, Journal of the American Statistical Association and Applied Physics Letters.
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.