Zhengyan Lin
- Finance top 5%
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Mathematical Physics top 10%
- Artificial Intelligence
- Co-authors
- Zhidong BaiWeidong LiuYi ZhangDegui LiMiklós CsörgőQi-Man ShaoChen JiaChing‐Wen Lou
- Topics
- Probability and Risk Models (21 papers)Stochastic processes and statistical mechanics (19 papers)Statistical Methods and Inference (17 papers)
- Partner nations
- ChinaSouth KoreaPakistan
In The Last Decade
Zhengyan Lin
54 papers receiving 469 citations
Peers
Comparison fields: 5 of 63
- Finance 220
- Statistics and Probability 198
- Management Science and Operations Research 178
- Mathematical Physics 107
- Artificial Intelligence 66
Countries citing papers authored by Zhengyan Lin
This map shows the geographic impact of Zhengyan Lin'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 Zhengyan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengyan Lin more than expected).
Fields of papers citing papers by Zhengyan Lin
This network shows the impact of papers produced by Zhengyan Lin. 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 Zhengyan Lin. The network helps show where Zhengyan Lin may publish in the future.
Co-authorship network of co-authors of Zhengyan Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyan Lin. A scholar is included among the top collaborators of Zhengyan Lin 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 Zhengyan Lin. Zhengyan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 20 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | Local linear M-estimators in null recurrent time series | 9 |
| 6 | 6 | |
| 7 | 5 | |
| 8 | The Asymptotic Distributions of the Largest Entries of Sample Correlation Matrices Under Dependence Assumptions | 2 |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 31 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | Functional limit theorem for moving average processes generated by dependent random variables | 1 |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 1 | |
| 20 | 0 |
About Zhengyan Lin
Zhengyan Lin is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 63 papers that have together received 498 indexed citations. Recurring topics across this work include Probability and Risk Models (21 papers), Stochastic processes and statistical mechanics (19 papers) and Statistical Methods and Inference (17 papers). The work is most often cited by research in Statistics and Probability (198 citations), Finance (220 citations) and Management Science and Operations Research (178 citations). Zhengyan Lin has collaborated with scholars based in China, South Korea and Pakistan. Frequent co-authors include Zhidong Bai, Weidong Liu, Yi Zhang, Degui Li, Miklós Csörgő, Qi-Man Shao, Chen Jia, Ching‐Wen Lou, Muhammad Hanif and Aamir Saghir. Their work appears in journals such as Inorganic Chemistry, Dalton Transactions and Journal of Mathematical Analysis and Applications.
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.