Zhenhua Lin
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Applied Mathematics top 10%
- Molecular Biology
- Control and Systems Engineering
- Co-authors
- Jiguo CaoHans‐Georg MüllerLiangliang WangHan FangWenyuan LiHaonan WangJane-Ling WangFang Yao
- Topics
- Statistical Methods and Inference (14 papers)Statistical Methods and Bayesian Inference (6 papers)Morphological variations and asymmetry (5 papers)
- Journals
- Journal of the American Statistical AssociationBiometricsIEEE Transactions on Power Systems
- Partner nations
- SingaporeUnited StatesCanada
In The Last Decade
Zhenhua Lin
26 papers receiving 320 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 168
- Artificial Intelligence 100
- Applied Mathematics 28
- Molecular Biology 24
- Control and Systems Engineering 24
Countries citing papers authored by Zhenhua Lin
This map shows the geographic impact of Zhenhua 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 Zhenhua Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenhua Lin more than expected).
Fields of papers citing papers by Zhenhua Lin
This network shows the impact of papers produced by Zhenhua 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 Zhenhua Lin. The network helps show where Zhenhua Lin may publish in the future.
Co-authorship network of co-authors of Zhenhua Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhua Lin. A scholar is included among the top collaborators of Zhenhua 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 Zhenhua Lin. Zhenhua 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 22 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 44 | |
| 19 | Some perspectives of smooth and locally sparse estimators | 1 |
| 20 | 13 |
About Zhenhua Lin
Zhenhua Lin is a scholar working on Statistics and Probability, Computational Mathematics and Geometry and Topology, having authored 27 papers that have together received 329 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (6 papers) and Morphological variations and asymmetry (5 papers). The work is most often cited by research in Statistics and Probability (168 citations), Computational Mathematics (4 citations) and Artificial Intelligence (100 citations). Zhenhua Lin has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Jiguo Cao, Hans‐Georg Müller, Liangliang Wang, Han Fang, Wenyuan Li, Haonan Wang, Jane-Ling Wang, Fang Yao, Tianyu Guan and Xiongtao Dai. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Power Systems.
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.