Yichuan Zhao
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 83
- Statistical Methods and Bayesian Inference 62
- Advanced Statistical Methods and Models 27
- Statistical Distribution Estimation and Applications 26
- Statistical Methods in Clinical Trials 9
- Advanced Causal Inference Techniques 6
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- Probabilistic and Robust Engineering Design 6
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models 7
- Finance top 10%
- Co-authors
- Hanfang YangIan W. McKeagueDongliang WangGengsheng QinZhigang ZhangYanqing ZhangSong YangZhaoyang Gu
- Journals
- Journal of Multivariate Analysis (8 papers)Computational Statistics & Data Analysis (7 papers)Journal of Statistical Planning and Inference (7 papers)
- Partner nations
- United StatesChinaIran
In The Last Decade
Yichuan Zhao
102 papers receiving 844 citations
Peers
Comparison fields: 5 of 104
- Statistics and Probability 652
- Statistics, Probability and Uncertainty 69
- Artificial Intelligence 190
- Finance 50
- Accounting 26
Countries citing papers authored by Yichuan Zhao
This map shows the geographic impact of Yichuan Zhao'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 Yichuan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichuan Zhao more than expected).
Fields of papers citing papers by Yichuan Zhao
This network shows the impact of papers produced by Yichuan Zhao. 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 Yichuan Zhao. The network helps show where Yichuan Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yichuan Zhao, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 4 | |
| 9 | 2015 | 19 | |
| 10 | 2012 | 9 | |
| 11 | 2012 | 27 | |
| 12 | 2011 | 8 | |
| 13 | 2010 | 10 | |
| 14 | 2007 | 4 | |
| 15 | 2007 | 10 | |
| 16 | 2007 | 1 | |
| 17 | 2007 | 30 | |
| 18 | 2006 | 20 | |
| 19 | 2005 | 13 | |
| 20 | 2005 | 9 |
About Yichuan Zhao
Yichuan Zhao is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 110 papers that have together received 874 indexed citations. Recurring topics across this work include Statistical Methods and Inference (83 papers), Statistical Methods and Bayesian Inference (62 papers), Advanced Statistical Methods and Models (27 papers), Statistical Distribution Estimation and Applications (26 papers), Statistical Methods in Clinical Trials (9 papers), Bayesian Methods and Mixture Models (7 papers), Advanced Causal Inference Techniques (6 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Statistics and Probability (652 citations), Statistics, Probability and Uncertainty (69 citations) and Artificial Intelligence (190 citations). Yichuan Zhao has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Hanfang Yang, Ian W. McKeague, Dongliang Wang, Gengsheng Qin, Zhigang Zhang, Yanqing Zhang, Song Yang, Zhaoyang Gu, Liang Peng and Rajeshwari Sundaram. Their work appears in journals such as Journal of Multivariate Analysis, Computational Statistics & Data Analysis, Journal of Statistical Planning and Inference, Journal of Statistical Computation and Simulation and Annals of the Institute of Statistical Mathematics.
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.