Sik‐Yum Lee
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Economics and Econometrics
- Computer Networks and Communications
- Topics
- Statistical Methods and Bayesian Inference (10 papers)Bayesian Modeling and Causal Inference (5 papers)Advanced Statistical Methods and Models (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Journals
- BiometricsStatistics in MedicineJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Sik‐Yum Lee
13 papers receiving 477 citations
Peers
Comparison fields: 5 of 91
- Statistics and Probability 381
- Artificial Intelligence 158
- Management Science and Operations Research 94
- Economics and Econometrics 54
- Computer Networks and Communications 42
Countries citing papers authored by Sik‐Yum Lee
This map shows the geographic impact of Sik‐Yum Lee'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 Sik‐Yum Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sik‐Yum Lee more than expected).
Fields of papers citing papers by Sik‐Yum Lee
This network shows the impact of papers produced by Sik‐Yum Lee. 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 Sik‐Yum Lee. The network helps show where Sik‐Yum Lee may publish in the future.
Co-authorship network of co-authors of Sik‐Yum Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sik‐Yum Lee. A scholar is included among the top collaborators of Sik‐Yum Lee 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 Sik‐Yum Lee. Sik‐Yum Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 13 | |
| 3 | 45 | |
| 4 | 43 | |
| 5 | 70 | |
| 6 | 75 | |
| 7 | 43 | |
| 8 | 40 | |
| 9 | 155 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 3 |
About Sik‐Yum Lee
Sik‐Yum Lee is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 13 papers that have together received 517 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Bayesian Modeling and Causal Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Statistics and Probability (381 citations), Management Science and Operations Research (94 citations) and Artificial Intelligence (158 citations). Sik‐Yum Lee has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Hong-Tu Zhu, Xinyuan Song, Xinyuan Song, Fei Chen, Fei Chen, Abdelmonem A. Afifi and Wai‐Yin Poon. Their work appears in journals such as Biometrics, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.