Yichen Cheng
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 4
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Faming Liang (3 shared papers)Yusen Xia (9 shared papers)Aaron Baird (5 shared papers)Qifan Song (1 shared paper)Ping Yang (1 shared paper)Jincheol Park (1 shared paper)Xin Gao (1 shared paper)Guang Lin (1 shared paper)
- Journals
- Scientific Reports (2 papers)PLoS ONE (2 papers)Journal of the American Statistical Association (2 papers)International Journal of Molecular Sciences (2 papers)INFORMS journal on computing (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yichen Cheng
29 papers receiving 284 citations
Peers
Comparison fields: 5 of 90
- Statistics and Probability 49
- Physical Therapy, Sports Therapy and Rehabilitation 10
- Finance 22
- General Social Sciences 6
- Artificial Intelligence 55
Countries citing papers authored by Yichen Cheng
This map shows the geographic impact of Yichen Cheng'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 Yichen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Cheng more than expected).
Fields of papers citing papers by Yichen Cheng
This network shows the impact of papers produced by Yichen Cheng. 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 Yichen Cheng. The network helps show where Yichen Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 48 | |
| 2 | 2022 | 25 | |
| 3 | 2013 | 24 | |
| 4 | 2021 | 20 | |
| 5 | 2015 | 20 | |
| 6 | 2014 | 20 | |
| 7 | 2006 | 17 | |
| 8 | 2011 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2016 | 3 |
About Yichen Cheng
Yichen Cheng is a scholar working on Genetics, Artificial Intelligence, Molecular Biology, Plant Science and Statistics and Probability, having authored 31 papers that have together received 298 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), GABA and Rice Research (3 papers), Rice Cultivation and Yield Improvement (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Advanced Causal Inference Techniques (2 papers), Telemedicine and Telehealth Implementation (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Statistics and Probability (49 citations), Physical Therapy, Sports Therapy and Rehabilitation (10 citations), Finance (22 citations), General Social Sciences (6 citations) and Artificial Intelligence (55 citations). Yichen Cheng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Faming Liang, Yusen Xia, Aaron Baird, Qifan Song, Ping Yang, Jincheol Park, Xin Gao, Guang Lin, Xinlei Wang and James Y. Dai. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of the American Statistical Association, International Journal of Molecular Sciences and INFORMS journal on computing.
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.